Information System of Personalized Patient's Adherence Level Determination; Studies in Health Technology and Informatics; Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017)
| Parent link: | Studies in Health Technology and Informatics Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017).— 2017.— [P. 68 - 72] |
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| Yhteenveto: | Title screen The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination. The results can be useful for medical organizations with long-term patients. Режим доступа: по договору с организацией-держателем ресурса |
| Kieli: | englanti |
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2017
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| Aiheet: | |
| Linkit: | http://ebooks.iospress.nl/publication/46423 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=655163 |
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| 200 | 1 | |a Information System of Personalized Patient's Adherence Level Determination |f M. A. Taranik, G. D. Kopanitsa | |
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| 300 | |a Title screen | ||
| 330 | |a The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination. The results can be useful for medical organizations with long-term patients. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 1 | |t Studies in Health Technology and Informatics | |
| 463 | 1 | |t Vol. 237 : Wearable, Micro and Nano Technologies for Personalised Health (pHealth 2017) |v [P. 68 - 72] |d 2017 | |
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| 701 | 1 | |a Kopanitsa |b G. D. |c specialist in the field of Informatics and computer engineering |c engineer-researcher of Tomsk Polytechnic University, candidate of technical Sciences |f 1985- |g Georgy Dmitrievich |3 (RuTPU)RU\TPU\pers\35310 | |
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