Kalantarian et al., 2016 - Google Patents
A wearable sensor system for medication adherence predictionKalantarian et al., 2016
View PDF- Document ID
- 7355930568653611209
- Author
- Kalantarian H
- Motamed B
- Alshurafa N
- Sarrafzadeh M
- Publication year
- Publication venue
- Artificial intelligence in medicine
External Links
Snippet
Objective Studies have revealed that non-adherence to prescribed medication can lead to hospital readmissions, clinical complications, and other negative patient outcomes. Though many techniques have been proposed to improve patient adherence rates, they suffer from …
- 239000003814 drug 0 title abstract description 120
Classifications
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G06F19/3456—Computer-assisted prescription or delivery of medication, e.g. prescription filling or compliance checking
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- A61B5/1116—Determining posture transitions
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- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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