Hasil untuk "Computer applications to medicine. Medical informatics"

Carolina Biliotti, Nicolò Fraccaroli, Michelangelo Puliga et al.

BackgroundAs the spread of the SARS-CoV-2 virus coincided with lockdown measures, it is challenging to distinguish public reactions to lockdowns from responses to COVID-19 itself. Beyond the direct impact on health, lockdowns may have worsened public sentiment toward politics and the economy or even heightened dissatisfaction with health care, imposing a significant cost on both the public and policy makers. ObjectiveThis study aims to analyze the causal effect of COVID-19 lockdown policies on various dimensions of sentiment and uncertainty, using the Italian lockdown of February 2020 as a quasi-experiment. At the time of implementation, communities inside and just outside the lockdown area were equally exposed to COVID-19, enabling a quasi-random distribution of the lockdown. Additionally, both areas had similar socioeconomic and demographic characteristics before the lockdown, suggesting that the delineation of the strict lockdown zone approximates a randomized experiment. This approach allows us to isolate the causal effects of the lockdown on public emotions, distinguishing the impact of the policy itself from changes driven by the virus’s spread. MethodsWe used Twitter data (N=24,261), natural language models, and a difference-in-differences approach to compare changes in sentiment and uncertainty inside (n=1567) and outside (n=22,694) the lockdown areas before and after the lockdown began. By fine-tuning the AlBERTo (Italian BERT optimized) pretrained model, we analyzed emotions expressed in tweets from 1124 unique users. Additionally, we applied dictionary-based methods to categorize tweets into 4 dimensions—economy, health, politics, and lockdown policy—to assess the corresponding emotional reactions. This approach enabled us to measure the direct impact of local policies on public sentiment using geo-referenced social media and can be easily adapted for other policy impact analyses. ResultsOur analysis shows that the lockdown had no significant effect on economic uncertainty (b=0.005, SE 0.007, t125=0.70; P=.48) or negative economic sentiment (b=–0.011, SE 0.0089, t125=–1.32; P=.19). However, it increased uncertainty about health (b=0.036, SE 0.0065, t125=5.55; P<.001) and lockdown policy (b=0.026, SE 0.006, t125=4.47; P<.001), as well as negative sentiment toward politics (b=0.025, SE 0.011, t125=2.33; P=.02), indicating that lockdowns have broad externalities beyond health. Our key findings are confirmed through a series of robustness checks. ConclusionsOur findings reveal that lockdowns have broad externalities extending beyond health. By heightening health concerns and negative political sentiment, policy makers have struggled to secure explicit public support for government measures, which may discourage future leaders from implementing timely stay-at-home policies. These results highlight the need for authorities to leverage such insights to enhance future policies and communication strategies, reducing uncertainty and mitigating social panic.

Jianing Hua, Dan Sun, Huihong Wang et al.

Objective mHealth is increasingly becoming popular and useful for managing chronic diseases. Nurse-led mHealth services offer a patient-centred perspective, but many existing solutions lack a robust empirical foundation. Therefore, this study aimed to address this gap by developing a comprehensive framework to support mHealth implementation through a systematic review and the Delphi method. Specifically, the study sought to create a nurse-led mobile health (mHealth) intervention framework designed for managing patients with chronic diseases. Methods We conducted a systematic review of PubMed, Web of Science, Cochrane Library, CNKI, and Wanfang databases to identify existing nurse-led mHealth intervention programs. Items from these articles were compiled into an inclusion list, and the Delphi method was applied to rank their priority. The Delphi process involved 13 nursing specialists and was conducted over two rounds using a Likert priority scale (1–5) to establish consensus. Results Based on the systematic review (included 16 articles for full review) and study group contributions, 36 potential framework items were identified. In the initial round of the Delphi study, specialists rejected 7 of the 36 items and recommended merging 6. In the subsequent round, the specialists recommended removing the self-monitoring diet items. The final items were consolidated into a 22-item nurse-led mHealth intervention framework categorized into three domains: pre-hospital evaluation, in-hospital intervention, and post-hospital continuity. Conclusions The Delphi-approved items offer a basis for evidence-based nurse-led mHealth intervention frameworks. These findings highlight the need for an intervention framework and its practical integration into the existing mHealth system.

Souliviengkham Sonephet, Sengchanh Kounnavong, Lucienne Zinsstag et al.

BackgroundChildren in Lao People’s Democratic Republic (Lao PDR) receive suboptimal nutrition because of low breastfeeding rates, undermining their developmental potential. While major public health campaigns have attempted to increase breastfeeding rates, they have been largely unsuccessful. One explanation for these unsuccessful interventions is the economic and financial constraints faced by mothers. A potential solution for alleviating these pressures is providing social transfers to support breastfeeding; defined as a cash or in-kind transfer. Capitalizing on key strategies used in previous social transfer programs, we will assess the effectiveness of social transfer intervention for increasing exclusive breastfeeding rates in Vientiane, Lao PDR. ObjectiveThis study aims to conduct a randomized controlled trial (RCT) designed to assess whether social transfers can increase exclusive breastfeeding rates in Vientiane Capital, Lao PDR. MethodsA prospective, parallel cluster-RCT was conducted among 300 mothers who recently gave birth and initiated breastfeeding. Enrolling 100 participants for each intervention arm provided us with 80% power to detect an increase in exclusive breastfeeding from the anticipated 21% in the control arm to 40% in either of the 2 intervention arms. Mother-infant dyads were enrolled at approximately 1 month post partum. Follow-up visits will occur at 6 months, 1 year, 2 years, and 3 years post partum; with the ambition to extend the follow-up period. Mother-infant dyads were enrolled between August 2022 and April 2023 with follow-up until 3 years post partum (2026). A local study team comprised of 2 nurses and 2 laboratory technicians is responsible for enrollment and follow-up of participants. Participants were randomly assigned to one of three groups during the baseline, 1-month visit: (1) control group, no social transfer; (2) intervention group 1, an unconditional social transfer at 6 months post partum; and (3) intervention group 2, a social transfer at 6 months post partum conditional upon mothers exclusively breastfeeding. All groups received educational materials supporting mothers to exclusively breastfeed. The primary end point will be exclusive breastfeeding at 6 months post partum. Secondary end points will include exclusive and complementary breastfeeding duration, childhood wasting and stunting, child growth, maternal and infant stress, predictors of early breastfeeding cessation, intestinal inflammation, anemia, maternal weight loss, maternal blood pressure, maternal anxiety, and GRIT personality score. Questionnaires and physical examinations were used to collect information. ResultsAs of November 2023, the study has enrolled 300 participants. Study participation is ongoing until December 2026 at minimum. Over the study lifetime, 93% have completed all visits. ConclusionsWe see potential for a long-term program that may be implemented in other low- or lower-middle-income countries with only minor modifications. The RCT will be used as a basis for observational studies and to investigate the impact of human milk on child fecal microbiota and growth. Trial RegistrationClinicalTrials.gov NCT05665049; https://clinicaltrials.gov/study/NCT05665049 International Registered Report Identifier (IRRID)DERR1-10.2196/54768

Lars Vogt, Tobias Kuhn, Robert Hoehndorf

Luca Pio Stoppino, Stefano Piscone, Sara Saccone et al.

This study aimed to demonstrate the potential role of dual-energy CT in assessing bone mineral density (BMD) using hydroxyapatite–fat material pairing in postmenopausal women. A retrospective study was conducted on 51 postmenopausal female patients who underwent DXA and DECT examinations for other clinical reasons. DECT images were acquired with spectral imaging using a 256-slice system. These images were processed and visualized using a HAP–fat material pair. Statistical analysis was performed using the Bland–Altman method to assess the agreement between DXA and DECT HAP–fat measurements. Mean BMD, vertebral, and femoral T-scores were obtained. For vertebral analysis, the Bland–Altman plot showed an inverse correlation (R²: −0.042; RMSE: 0.690) between T-scores and DECT HAP–fat values for measurements from L1 to L4, while a good linear correlation (R²: 0.341; RMSE: 0.589) was found for measurements at the femoral neck. In conclusion, we demonstrate the enhanced importance of BMD calculation through DECT, finding a statistically significant correlation only at the femoral neck where BMD results do not seem to be influenced by the overlap of the measurements on cortical and trabecular bone. This outcome could be beneficial in the future by reducing radiation exposure for patients already undergoing follow-up for chronic conditions.

Robin Blythe, Sundresan Naicker, Nicole White et al.

Abstract Background Successful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process. Models may demonstrate good discrimination and calibration, but fail to match the needs of practising acute care clinicians who receive, interpret, and act upon model outputs or alerts. We sought to understand how prediction models for clinical deterioration, also known as early warning scores (EWS), influence the decision-making of clinicians who regularly use them and elicit their perspectives on model design to guide future deterioration model development and implementation. Methods Nurses and doctors who regularly receive or respond to EWS alerts in two digital metropolitan hospitals were interviewed for up to one hour between February 2022 and March 2023 using semi-structured formats. We grouped interview data into sub-themes and then into general themes using reflexive thematic analysis. Themes were then mapped to a model of clinical decision making using deductive framework mapping to develop a set of practical recommendations for future deterioration model development and deployment. Results Fifteen nurses (n = 8) and doctors (n = 7) were interviewed for a mean duration of 42 min. Participants emphasised the importance of using predictive tools for supporting rather than supplanting critical thinking, avoiding over-protocolising care, incorporating important contextual information and focusing on how clinicians generate, test, and select diagnostic hypotheses when managing deteriorating patients. These themes were incorporated into a conceptual model which informed recommendations that clinical deterioration prediction models demonstrate transparency and interactivity, generate outputs tailored to the tasks and responsibilities of end-users, avoid priming clinicians with potential diagnoses before patients were physically assessed, and support the process of deciding upon subsequent management. Conclusions Prediction models for deteriorating inpatients may be more impactful if they are designed in accordance with the decision-making processes of acute care clinicians. Models should produce actionable outputs that assist with, rather than supplant, critical thinking.

Leonardo C.J. Corvalán, Larissa R. Carvalho, Amanda A. Melo-Ximenes et al.

The neotropical fruit plant Eugenia klotzschiana Berg. is endemic from South America and occurs in the Brazilian savannah areas, a biome threatened by intensive agriculture. This species is a plant listed on the Brazilian list of Plants for the Future. The E. klotzschiana fruits have great nutritional value and antioxidant activity and are consumed in natura or processed into juice or jelly. However, their harvest is predominantly in native areas and needs further studies for large-scale commercialization. Nuclear genomic data and population genetic tools are still quite scarce for the species. Here, we provide data on the first partially assembled genome of E. klotzschiana (211 Mbp, ∼75.16% genome coverage, N50 = 3,407, and 46.8% BUSCO completeness), the raw Illumina sequencing reads, and two sets of primers for microsatellite (SSRs) high-throughput genotyping-by-sequencing (SSR-Seq) identified in the nuclear genome. These genomic resources are fundamental for this species conservation strategies and the development of a future breeding program.

Fatemeh Makouei, Tina Klitmøller Agander, Caroline Ewertsen et al.

Surgery is the primary treatment for tongue cancer. The goal is a complete resection of the tumor with an adequate margin of healthy tissue around the tumor.Inadequate margins lead to a high risk of local cancer recurrence and the need for adjuvant therapies. Ex vivo imaging of the resected surgical specimen has been suggested for margin assessment and improved surgical results. Therefore, we have developed a novel three-dimensional (3D) ultrasound imaging technique to improve the assessment of resection margins during surgery. In this research protocol, we describe a study comparing the accuracy of 3D ultrasound, magnetic resonance imaging (MRI), and clinical examination of the surgical specimen to assess the resection margins during cancer surgery. Tumor segmentation and margin measurement will be performed using 3D ultrasound and MRI of the ex vivo specimen. We will determine the accuracy of each method by comparing the margin measurements and the proportion of correctly classified margins (positive, close, and free) obtained by each technique with respect to the gold standard histopathology.

Litza Kiropoulos

Jan Rothörl, Maarten A. Brems, Tim J. Stevens et al.

Detailed understanding of the 3D structure of chromatin is a key ingredient to investigate a variety of processes inside the cell. Since direct methods to experimentally ascertain these structures lack the desired spatial fidelity, computational inference methods based on single cell Hi-C data have gained significant interest. Here, we develop a progressive simulation protocol to iteratively improve the resolution of predicted interphase structures by maximum-likelihood association of ambiguous Hi-C contacts using lower-resolution predictions. Compared to state-of-the-art methods, our procedure is not limited to haploid cell data and allows us to reach a resolution of up to 5,000 base pairs per bead. High resolution chromatin models grant access to a multitude of structural phenomena. Exemplarily, we verify the formation of chromosome territories and holes near aggregated chromocenters as well as the inversion of the CpG content for rod photoreceptor cells.

Mahmoud A. Alomari, Karem H. Alzoubi, Omar F. Khabour et al.

Mental health is strongly affected by physical (PA) and sedentary (SA) activity. In the current study, the relationships of PA and sedentary activity (SA) with mental status amid confinement caused by COVID-19 were examined. The study is self-reporting, survey-based, and cross-sectional in design. The study was conducted in Jordan and included 1744 participants (≥18 years old). The participants' mental status was obtained using the Depression-Anxiety-Stress Scale (DASS). The results showed involvement in both PA and SA during COVID-19-induced confinement. The involvement includes walking (77.2%), running (70.3%), cycling (84.9%), swimming (83.1%), sports (82.9%), weightlifting (86.4%), watching TV (79.4%), using electronics (86.3%), and logging to social media (85.1%). Lower DASS scores were associated (p < 0.05) with lower walking, running, and weightlifting but not (p > 0.05) with cycling and swimming PA. Additionally, DASS scores (p < 0.05) were associated with changes in television viewing but not (p > 0.05) with electronics and social media use during confinement. In conclusion, individuals who experienced higher levels of stress, anxiety, and depression were more likely to turn to more PA and less SA. These findings are important and suggest that individuals during confinement find PA a useful strategy to mitigate the negative mental effects of the pandemic.

Arnav Agarwal, John Basmaji, Shannon M Fernando et al.

BackgroundSevere infections are characterized by inflammation and oxidative damage. Ascorbic acid (vitamin C) administration may attenuate oxidative damage and, in turn, reduce vascular endothelial injury in pulmonary and systemic vasculature. ObjectiveWe aim to describe a protocol for a living systematic review that will evaluate the effectiveness and safety of parenteral vitamin C administration in adults with severe infections, including those with COVID-19. MethodsWe searched Ovid MEDLINE, Embase, CINAHL, the Centers for Disease Control and Prevention COVID-19 database, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov from inception to March 30, 2021, for randomized controlled trials evaluating parenteral vitamin C versus no parenteral vitamin C in hospitalized adults with severe infection. Eligible studies will include at least 1 arm involving any dose of parenteral vitamin C alone or in combination with other cointerventions and at least 1 arm not involving parenteral vitamin C. The primary outcomes of interest will include in-hospital, 30-day, and 90-day mortality. Title and abstract screening, full-text screening, data extraction, and risk of bias evaluation via a modified Risk of Bias 2.0 tool will be conducted independently and in pairs. We will perform random effects modeling for meta-analyses, in which study weights will be generated by using the inverse variance method. We will assess certainty in effect estimates by using the Grading of Recommendations Assessment, Development and Evaluation methodology. Meta-analyses will be updated iteratively as new trial evidence becomes available. ResultsAmong the 1386 citations identified as of March 30, 2021, a total of 17 eligible randomized controlled trials have been identified as of September 2021. We are in the process of updating the search strategy and associated data analyses. ConclusionsThe results will be of importance to critical care physicians and hospitalists who manage severe infection and COVID-19 in daily practice, and they may directly inform international clinical guidance. Although our systematic review will incorporate the most recent trial evidence, ongoing trials may change our confidence in the estimates of effects, thereby necessitating iterative updates in the form of a living review. Trial RegistrationPROSPERO CRD42020209187; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209187 International Registered Report Identifier (IRRID)RR1-10.2196/33989

Juan Manuel Álvarez-Gómez, Joaquín Santos-Blasco, Laura Moliner Martínez et al.

Improvements in energy resolution of modern positron emission tomography (PET) detectors have created opportunities to implement energy-based scatter correction algorithms. Here, we use the energy information of auxiliary windows to estimate the scatter component. Our method is directly implemented in an iterative reconstruction algorithm, generating a scatter-corrected image without the need for sinograms. The purpose was to implement a fast energy-based scatter correction method on list-mode PET data, when it was not possible to use an attenuation map as a practical approach for the scatter degradation. The proposed method was evaluated using Monte Carlo simulations of various digital phantoms. It accurately estimated the scatter fraction distribution, and improved the image contrast in the simulated studied cases. We conclude that the proposed scatter correction method could effectively correct the scattered events, including multiple scatters and those originated in sources outside the field of view.

Javier Lopez-Ibañez, Florencio Pazos, Monica Chagoyen

Abstract Background Assignment of chemical compounds to biological pathways is a crucial step to understand the relationship between the chemical repertory of an organism and its biology. Protein sequence profiles are very successful in capturing the main structural and functional features of a protein family, and can be used to assign new members to it based on matching of their sequences against these profiles. In this work, we extend this idea to chemical compounds, constructing a profile-inspired model for a set of related metabolites (those in the same biological pathway), based on a fragment-based vectorial representation of their chemical structures. Results We use this representation to predict the biological pathway of a chemical compound with good overall accuracy (AUC 0.74–0.90 depending on the database tested), and analyzed some factors that affect performance. The approach, which is compared with equivalent methods, can in addition detect those molecular fragments characteristic of a pathway. Conclusions The method is available as a graphical interactive web server http://csbg.cnb.csic.es/iFragMent .

Manuel A. Franco-Martín, Angie A. Diaz-Baquero, Yolanda Bueno-Aguado et al.

Abstract Background The growing number of older people and, with it, the increase of neurological impairments such as dementia has led to the implementation of the use of computer programs for cognitive rehabilitation in people with dementia. For 20 years, we have been developing the GRADIOR cognitive rehabilitation program and conducted several studies associated with its usability and effectiveness. This paper describes the development of the latest version of the GRADIOR computer-based cognitive rehabilitation program for people with different neurological etiologies, especially mild cognitive impairment and mild dementia. Results GRADIOR is a program that allows cognitive evaluation and rehabilitation of people affected by cognitive impairment. The new version of GRADIOR is characterized by a structure that is dynamic and flexible for both user and therapist, consisting of: Clinical Manager, Clinical History Manager, Treatment Manager and Report Manager. As a structure based on specific requirements, GRADIOR includes a series of modalities and sub-modalities, each modality comprising a series of exercises with different difficulty levels. Discussion Previous studies associated with earlier versions of GRADIOR have allowed the development of a new version of GRADIOR. Taking into account aspects associated with user experience, usability and effectiveness. Aspects that have made it possible to achieve a program that can meet the needs of older people with dementia.

Lely Adriana Luengas C.

<p>El avance tecnológico permite desarrollar equipos tecnológicos y ayudas técnicas que apoyen el tratamiento dirigido a un paciente.</p><p>Objetivo: Generar un algoritmo para desarrollar dispositivos mecatrónicos como ayudas técnicas para personas con discapacidad física.                                                                                                        </p><p>Métodos: Se tomó como base una clasificación del diseño de estudio de tipo descriptivo, para la propuesta de una metodología de diseño e implementación de dispositivos de ayuda técnica en personas con distrofia muscular.  La propuesta hace referencia al conjunto de técnicas, procedimientos y soportes documentales empleados en el diseño de sistemas de ayuda técnica, donde se integran aspectos diversos de tal forma que el proceso global sea lógico y comprensible.</p><p>Resultados: El diseño obtenido comprende el desarrollo de cuatro metodologías, que inician con el proceso investigativo, luego el dispositivo mecánico, después el sistema electrónico y finaliza con el sistema de comunicación. Se dan pautas para generar cada uno de los componentes del sistema y lograr obtener un dispositivo funcional. El diseño fue probado con resultados favorables.</p><p>Conclusiones: En el área de rehabilitación física, se combinan los conocimientos médicos con los ingenieriles para obtener soluciones tecnológicas que facilitan las labores a personas con discapacidad física. El diseño desarrollado, al contar con un conjunto ordenado de operaciones sistemáticas y una serie de pautas específicas para la ejecución de actividades, donde se cursan una serie de etapas, permite solucionar el tipo de problemas de referencia.</p><p><strong>Palabras clave:</strong> Ayudas técnicas; Rehabilitación médica; Exoesqueleto</p>

Marcos Eielson Pinheiro de Sá, Cláudia Valéria G.C. de Sá, Rafael R. Nicolino et al.

This report describes the network of live cattle exports from Brazil using Microsoft Office Excel® files, Terraview®, Maporama®, Pajek® and Google Maps® softwares. The database contains estimates obtained from the Ministry of Agriculture, Livestock and Food Supply (MAPA) and underwent descriptive, spatial and flow network. The network of live cattle exports from Brazil was determined using data from 27,517 Animal Transit Certificates (ATC) and 579 Veterinary Certificate for International Trade. International departure points, municipalities and states of origin, destination countries, purpose of export and compliance with sanitary requirements for exports, cattle movement and the main transportation corridors were showed through flow network. The states that exported live cattle were Pará, Rio Grande do Sul, Tocantins, São Paulo, Minas Gerais and Maranhão. Vila do Conde Port, located in Barcarena municipality in the state of Pará, was the main international departure point of animals, which were intended mostly for immediate slaughter in the importing country. The internal cattle transportation corridors of the main counties and farms that provide animals for exports in 2009 were mapped.

Waleed Alzamil

This data article contains the urban features of three informal settlements in Jakarta: A. Kampung Bandan; B. Kampung Luar Batang; And C. Kampung Muara Baru. The data describes the urban features of physical structures, infrastructures, and public services. These data include maps showing locations of these settlements, photography of urban status, and examples of urban fabric. The data are obtained from the statistical records and field surveys of three settlements cases. Keywords: Informal settlements, Physical, Features, Urban, Kampung, Jakarta, Indonesia

Claudia D. Tesche, Piyadasa W. Kodituwakku, Christopher M. Garcia et al.

Children exposed to substantial amounts of alcohol in utero display a broad range of morphological and behavioral outcomes, which are collectively referred to as fetal alcohol spectrum disorders (FASDs). Common to all children on the spectrum are cognitive and behavioral problems that reflect central nervous system dysfunction. Little is known, however, about the potential effects of variables such as sex on alcohol-induced brain damage. The goal of the current research was to utilize magnetoencephalography (MEG) to examine the effect of sex on brain dynamics in adolescents and young adults with FASD during the performance of an auditory oddball task. The stimuli were short trains of 1 kHz “standard” tone bursts (80%) randomly interleaved with 1.5 kHz “target” tone bursts (10%) and “novel” digital sounds (10%). Participants made motor responses to the target tones. Results are reported for 44 individuals (18 males and 26 females) ages 12 through 22 years. Nine males and 13 females had a diagnosis of FASD and the remainder were typically-developing age- and sex-matched controls. The main finding was widespread sex-specific differential activation of the frontal, medial and temporal cortex in adolescents with FASD compared to typically developing controls. Significant differences in evoked-response and time–frequency measures of brain dynamics were observed for all stimulus types in the auditory cortex, inferior frontal sulcus and hippocampus. These results underscore the importance of considering the influence of sex when analyzing neurophysiological data in children with FASD.

Akella Lakshmi, Norton Catherine N, Miller Holly

<p>Abstract</p> <p>Background</p> <p>A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to link biological information.</p> <p>Results</p> <p>We present NetiNeti (Name Extraction from Textual Information-Name Extraction for Taxonomic Indexing), a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names. The system generates candidate names using rules for scientific names and applies probabilistic machine learning methods to classify names based on structural features of candidate names and features derived from their contexts. NetiNeti can also disambiguate scientific names from other names using the contextual information. We evaluated NetiNeti on legacy biodiversity texts and biomedical literature (MEDLINE). NetiNeti performs better (precision = 98.9% and recall = 70.5%) compared to a popular dictionary based approach (precision = 97.5% and recall = 54.3%) on a 600-page biodiversity book that was manually marked by an annotator. On a small set of PubMed Central’s full text articles annotated with scientific names, the precision and recall values are 98.5% and 96.2% respectively. NetiNeti found more than 190,000 unique binomial and trinomial names in more than 1,880,000 PubMed records when used on the full MEDLINE database. NetiNeti also successfully identifies almost all of the new species names mentioned within web pages.</p> <p>Conclusions</p> <p>We present NetiNeti, a machine learning based approach for identification and discovery of scientific names. The system implementing the approach can be accessed at <url>http://namefinding.ubio.org.</url></p>