Medical, psychological and physiological applications of MultiNeuron neural simulator

• Main Authors: Gorban, A.N., Rossiev, D.A., Butakova, E.V., Gilev, S.E., Golovenkin, S.E., Dogadin, S.A., Dorrer, M.G., Kochenov, D.A., Kopytov, A.G., Maslennikova, E.V., Matyushin, G.V., Mirkes, Ye.M., Nazarov, B.V., Nozdrachev, K.G., Savchenko, A.A., Smirnova, S.V., Shulman, V.A., Zenkin, V.I.
• Format: Conference Proceeding
• Language: English
• Subjects: Application software; Humans; Immune system; Medical diagnostic imaging; Myocardium; Neural networks; Physiology; Psychology; Rhythm; Testing
• DOI: 10.1109/ISNINC.1995.480831

This work describes neural software applied in medicine and physiology to: investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions; forecast emergence or aggravation of stagnant cardiac insufficiency in patients with cardiac rhythm disorders; forecast development of cardiac arrhythmia after myocardial infarction; reveal relationships between the accumulated radiation dose and a set of immuno-logical, hormonal, and biochemical parameters of human blood and find a method to be able to judge by these parameters the dose value; propose a technique for early diagnosis of choroid melanomas; and determine human sex by metabolic and hormonal signs. Neural networks help predict human relations within a group. The predictions are derived from testing data. The initial data for the neural networks are directly the answers to test questions. Explicit diagnosing is not used. Average prediction error for the relations is less than 10%.