000 02932nla2a2200469 4500
001 653043
005 20231030041205.0
035 _a(RuTPU)RU\TPU\network\18428
090 _a653043
100 _a20170203a2016 k y0engy50 ba
101 0 _aeng
102 _aFR
105 _ay z 100zy
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aOn a Question of the Information Technology Construction Based on Self-learning Medicine Intelligent System
_fA. E. Yankovskaya [et al.]
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: p. 28 (55 tit.)]
330 _aA main construction approaches of an informationtechnology-based self-learning intelligent system are described inthe paper. The technology is designed to increase the accuracy ofthe differential diagnosis of bronchial asthma by using selflearningprinciple. Optimal combination of different approachesfrom mathematic, pattern recognition, probability theory,mathematical statistics, artificial intelligence and machinelearning is the basis of the intelligent system.
461 1 _0(RuTPU)RU\TPU\network\18167
_tAdvances in Computer Science Research
463 0 _0(RuTPU)RU\TPU\network\18169
_tVol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016)
_oIII International Scientific Conference, May 23-26, 2016, Tomsk, Russia
_o[proceedings]
_fNational Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva, A. Tikhomirov, A. Trufanov
_v[P. 22-28]
_d2016
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _aинформационные технологии
610 1 _aинтеллектуальные системы
610 1 _aсамостоятельное изучение
610 1 _aбронхиальная астма
610 1 _aраспознавание
610 1 _aраспознавание образов
610 1 _aпринятие решений
610 1 _aкогнитивные средства
610 1 _aискусственный интеллект
701 1 _aYankovskaya
_bA. E.
_cspecialist in the field of electrical engineering
_cProfessor of Tomsk Polytechnic University, doctor of technical Sciences
_f1939-
_gAnna Efimovna
_2stltpush
_3(RuTPU)RU\TPU\pers\36250
701 1 _aGorbunov
_bI.
_gIvan
701 1 _aHodashinsky
_bI.
_gIlya
701 1 _aChernogoryuk
_bG.
_gGeorgiy
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bЭнергетический институт (ЭНИН)
_bКафедра электропривода и электрооборудования (ЭПЭО)
_h178
_2stltpush
_3(RuTPU)RU\TPU\col\18674
801 2 _aRU
_b63413507
_c20180213
_gRCR
856 4 _uhttp://dx.doi.org/10.2991/itsmssm-16.2016.14
942 _cCF