AIMC Topic: Patient Compliance

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Intelligent rehabilitation assistant system to promote the early functional recovery of the elderly patients with femoral neck fracture after hemiarthroplasty (HA): A protocol for a randomized controlled trial.

Medicine Nov 13, 2020
BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and mortality. Surgical treatment is the first choice. However, the functional rehabilitation after operation has not been paid enough attention. In additi...
Treatment Outcome Recovery of Function Randomized Controlled Trials as Topic Aged, 80 and over Male Patient Compliance Exercise Therapy Hemiarthroplasty Femoral Neck Fractures Double-Blind Method Humans Artificial Intelligence Female Aged Prospective Studies
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Role of Instruction Adherence During Highly Structured Robotic Arm Training on Motor Outcomes for Individuals After Chronic Stroke.

American journal of physical medicine & rehabilitation Apr 1, 2020
The aim of this study was to examine the effects of instruction adherence on upper limb motor outcomes after highly structured intervention. A secondary data analysis was completed using mixed linear modeling design. Thirty chronic stroke survivors w...
Male Middle Aged Treatment Outcome Humans Female Robotics Disability Evaluation Stroke Recovery of Function Chronic Disease Arm Patient Compliance Linear Models Attention Stroke Rehabilitation
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Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Translational behavioral medicine Nov 25, 2019
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deli...
Patient Compliance Telemedicine Outcome and Process Assessment, Health Care Weight Reduction Programs Patient Satisfaction Overweight Obesity Risk Assessment Mobile Applications Humans Machine Learning Adult Male Female
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Using Machine Learning for Personalized Patient Adherence Level Determination.

Studies in health technology and informatics Jan 1, 2019
The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform. We analyzed different medical data coll...
Humans Algorithms Fuzzy Logic Patient Compliance Neural Networks, Computer Machine Learning
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Patient's Adherence Level Determination System.

Studies in health technology and informatics Jan 1, 2017
The 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 treatm...
Fuzzy Logic Patient Compliance Humans
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Information System of Personalized Patient's Adherence Level Determination.

Studies in health technology and informatics Jan 1, 2017
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...
Humans Fuzzy Logic Data Collection Patient Compliance
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Using machine learning to examine medication adherence thresholds and risk of hospitalization.

Medical care Aug 1, 2015
BACKGROUND: Quality improvement efforts are frequently tied to patients achieving ≥80% medication adherence. However, there is little empirical evidence that this threshold optimally predicts important health outcomes.
Medicaid Hospitalization Cohort Studies Aged Diabetes Mellitus, Type 2 Adult Retrospective Studies Middle Aged Quality Improvement United States Male Female Aged, 80 and over Risk Assessment Humans Multivariate Analysis Hypoglycemic Agents Artificial Intelligence Assessment of Medication Adherence Patient Compliance
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