Hasil untuk "Computer applications to medicine. Medical informatics"

Henning Müller, Nicolas Michoux, David Bandon et al.

Xinsong Du, Zhengyang Zhou, Yifei Wang et al.

Nick Williams

Lukman Heryawan, Arif Bukhori

Feng Chu

Accurate diagnosis of cancers is of great importance for doctors to choose a proper treatment. Furthermore, it also plays a key role in the searching for the pathology of cancers and drug discovery. Recently, this problem attracts great attention in the context of microarray technology. Here, we apply radial basis function (RBF) neural networks to this pattern recognition problem. Our experimental results in some well-known microarray data sets indicate that our method can obtain very high accuracy with a small number of genes.

Dick Whiddett

Witold Kinsner

Numerous attempts are being made to develop machines that could act not only autonomously, but also in an increasingly intelligent and cognitive manner. Such cognitive machines ought to be aware of their environments, which include not only other machines, but also human beings. Such machines ought to understand the meaning of information in more human-like ways by grounding knowledge in the physical world and in the machines’ own goals. The motivation for developing such machines range from self-evidenced practical reasons such as the expense of computer maintenance, to wearable computing in health care, and gaining a better understanding of the cognitive capabilities of the human brain. To achieve such an ambitious goal requires solutions to many problems, ranging from human perception, attention, concept creation, cognition, consciousness, executive processes guided by emotions and value, and symbiotic conversational human-machine interactions. An important component of this cognitive machine research includes multiscale measures and analysis. This article presents definitions of cognitive machines, representations of processes, as well as their measurements, measures, and analysis. It provides examples from current research, including cognitive radio, cognitive radar, and cognitive monitors.

P. F. Brennan

van Bemmel Jan H.

Since the new Handbook of Medical Informatics was published in 1997, a p-version of a web site (“MI WEB”) has been opened that supports the teaching of the Handbook. MI Web refers to the text of the full Handbook, using an extensive Glossary that is shared by both the paper Handbook and the web site. New material for teaching will continuously be added to the MI Web, realizing that the field of health informatics is progressing exponentially, that the teaching of medical informatics is of great importance for students in medicine and health care, and that these students will be the health professionals of the future. Training in medical informatics is also of value for practicing clinicians who are overwhelmed by the avalanche of systems that are available on the market.

John J. Salley, John L. Zimmerman, Marion J. Ball

J. R. Möhr, A. Kluge

B. Varet, J. P. Levy, N. Salame et al.

Carl-Göran Anjou, Kjell Andersson, Olav Axelson et al.

Rita D. Zielstorff

Juhola Martti

Some remarks will be presented on computer analysis of vestibuloocular reflex signals, which are recorded and analysed in otoneurological clinics in order to investigate equilibrium disorders of patients. Computation methods and result parameters will be discussed. Sampling frequencies employed will be assessed in the light of their impact on parameter values.

B Richards, J Cadman, J Levitt et al.

Sergei G. Burchinsky, Yuri K. Duplenko