AIMC Topic: Patient Compliance

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Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.

Studies in health technology and informatics May 27, 2021
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients...
Human Growth Hormone Patient Compliance Growth Hormone Humans Neural Networks, Computer Deep Learning
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Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their mortality and improve their quality of life, however some patients display poor appointment adherence and become lost to follow-up (LTFU). We applied n...
Humans Electronic Health Records Patient Compliance Female HIV Infections Adult Lost to Follow-Up Models, Theoretical Male Retention in Care Natural Language Processing
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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...
Humans Artificial Intelligence Aged, 80 and over Male Treatment Outcome Prospective Studies Female Aged Hemiarthroplasty Double-Blind Method Recovery of Function Patient Compliance Randomized Controlled Trials as Topic Exercise Therapy Femoral Neck Fractures
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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...
Stroke Rehabilitation Attention Arm Linear Models Recovery of Function Chronic Disease Robotics Disability Evaluation Stroke Patient Compliance Male Middle Aged Treatment Outcome Humans Female
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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...
Humans Machine Learning Obesity Patient Compliance Telemedicine Patient Satisfaction Outcome and Process Assessment, Health Care Weight Reduction Programs Risk Assessment Female Mobile Applications Adult Overweight Male
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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...
Machine Learning Algorithms Fuzzy Logic Patient Compliance Humans Neural Networks, Computer
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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...
Humans Fuzzy Logic Patient Compliance
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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...
Data Collection Humans Fuzzy Logic 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.
Hypoglycemic Agents Patient Compliance Quality Improvement Cohort Studies Diabetes Mellitus, Type 2 United States Male Aged Retrospective Studies Multivariate Analysis Humans Middle Aged Aged, 80 and over Female Risk Assessment Artificial Intelligence Assessment of Medication Adherence Adult Hospitalization Medicaid
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