AIMC Topic: Medication Adherence

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A Machine Learning Approach to Detecting Low Medication State with Wearable Technologies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Medication adherence is a critical component and implicit assumption of the patient life cycle that is often violated, incurring financial and medical costs to both patients and the medical system at large. As obstacles to medication adherence are co...
Machine Learning Wearable Electronic Devices Humans Medication Adherence
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Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda.

Journal of the International AIDS Society Mar 1, 2020
INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk assessment for HIV viraemia and be used to personalize viral load testing schedules. We evaluated the potential of real-time EAM (transferred via cellula...
Machine Learning Female Humans Anti-HIV Agents CD4 Lymphocyte Count Cohort Studies HIV Infections Viremia HIV-1 Longitudinal Studies Adult Drug Monitoring Medication Adherence Male Uganda Viral Load
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Medication Adherence and Stroke Prevention: What Real World Data Tells Us.

Acta neurologica Taiwanica Dec 15, 2019
Medication adherence, by definition,(2) is "the extent to which a patient acts in accordance with the prescribed interval and dose of a dosing regimen." Poor medication adherence can interfere with the ability to treat many diseases, leading to great...
Stroke Quality of Life Humans Medication Adherence Retrospective Studies
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Data for Adherence Decision Support.

Studies in health technology and informatics Jan 1, 2019
Technological interventions aimed at addressing medication non-adherence have shown some promise but do not deliver the full potential of an Internet of Things based Adherence Decision Support (ADS) system due, in part, to a lack high-resolution defi...
Pilot Projects Medication Adherence Artificial Intelligence Decision Support Techniques Data Collection
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Medhere: A Smartwatch-based Medication Adherence Monitoring System using Machine Learning and Distributed Computing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Poor medication adherence threatens an individual's health and is responsible for substantial medical costs in the United States annually. In order to improve medication adherence rates and provide timely reminders, we developed a smartwatch applicat...
Algorithms Computers Medication Adherence Monitoring, Physiologic Machine Learning
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Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.

Journal of Crohn's & colitis Jul 1, 2017
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...
Mercaptopurine Drug Prescriptions Azathioprine Female Hospitalization Young Adult Adult ROC Curve Inflammatory Bowel Diseases Adolescent Humans Treatment Outcome Retrospective Studies Machine Learning Medication Adherence Male Algorithms Area Under Curve Immunosuppressive Agents Middle Aged Remission Induction
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Robotic Assistance in Medication Management: Development and Evaluation of a Prototype.

Studies in health technology and informatics Jan 1, 2016
An increasing number of elderly people and the prevalence of multimorbid conditions often lead to age-related problems for patients in handling their common polypharmaceutical, domestic everyday medication. Ambient Assisted Living therefore provides ...
Self Care Pilot Projects Medication Adherence Telemedicine Medication Systems Robotics Equipment Failure Analysis Drug Therapy, Computer-Assisted Equipment Design Reminder Systems
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