Artificial neural networks: laboratory aid or sorcerer's apprentice?
نویسندگان
چکیده
منابع مشابه
Artificial neural networks: laboratory aid or sorcerer's apprentice?
Artificial neural networks (ANNs) are being explored increasingly in medicine as decision-making aids. In the last 2 years, >630 articles dealing with the use of ANNs have been listed in Medline, including several recent reviews with application to the clinical laboratory [1, 2]. Is the interest and enthusiasm warranted , or will this introduction mirror that of other diagnostic tests in medici...
متن کاملArtificial neural networks: applications in pain physiology
Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...
متن کاملArtificial neural networks: applications in pain physiology
Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...
متن کاملMonitoring of Regional Low-Flow Frequency Using Artificial Neural Networks
Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...
متن کاملArtificial neural networks: applications in predicting pancreatitis survival
Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Clinical Chemistry
سال: 1996
ISSN: 0009-9147,1530-8561
DOI: 10.1093/clinchem/42.4.496