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005			20231030041543.0
035			_a(RuTPU)RU\TPU\network\25534
035			_aRU\TPU\network\20996
090			_a658215
100			_a20180702d2017 k y0rusy50 ca
101	0		_aeng
102			_aNL
105			_aa z 101zy
135			_adrcn ---uucaa
181		0	_ai
182		0	_ab
200	1		_aPatient’s adherence level determination system _fM. A. Taranik, G. D. Kopanitsa
203			_aText _celectronic
300			_aTitle screen
320			_a[References: p. 1306 (1 tit.)]
330			_aThe present paper deals with intellectual systems for patient's level adherence determination. The most popular novadays technique for adherence evaluation is interview. We advise new automation approach, which compares direct pation data with treatment plan using fuzzy logic and stanard ISO 13606. For this research data entered by users. The results can be useful for medical organisation with lind-term patients.
333			_aРежим доступа: по договору с организацией-держателем ресурса
461			_tStudies in Health Technology and Informatics
463			_tVol. 245 : MEDINFO 2017: Precision Healthcare through Informatics _v[P. 1306-1306] _d2017
610	1		_aэлектронный ресурс
610	1		_aтруды учёных ТПУ
610	1		_aпациенты
610	1		_aинформационные системы
610	1		_aметоды оценки
610	1		_aстандартизация
610	1		_aлечение
700		1	_aTaranik _bM. A. _cspecialist in the field of informatics and computer technology _ctechnician of Tomsk Polytechnic University _f1990- _gMaksim Alekseevich _2stltpush _3(RuTPU)RU\TPU\pers\36350
701		1	_aKopanitsa _bG. D. _cspecialist in the field of Informatics and computer engineering _cengineer-researcher of Tomsk Polytechnic University, candidate of technical Sciences _f1985- _gGeorgy Dmitrievich _2stltpush _3(RuTPU)RU\TPU\pers\35310
712	0	2	_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение информационных технологий _h7951 _2stltpush _3(RuTPU)RU\TPU\col\23515
801		2	_aRU _b63413507 _c20180702 _gRCR
856	4	0	_uhttp://dx.doi.org/10.3233/978-1-61499-830-3-1306
942			_cCF