AIMC Topic: Self Care

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Machine learning in medicine: Addressing ethical challenges.

PLoS medicine
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.

Using Natural Language Processing and Network Analysis to Develop a Conceptual Framework for Medication Therapy Management Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium
This paper describes a theory derivation process used to develop a conceptual framework for medication therapy management (MTM) research. The MTM service model and chronic care model were selected as parent theories. Review article abstracts targetin...

Machine learning approaches to personalize early prediction of asthma exacerbations.

Annals of the New York Academy of Sciences
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...

Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

Diabetes technology & therapeutics
BACKGROUND: To find out whether children with type 1 diabetes accept a humanoid robot as an assistant in their diabetes management. In particular, the study aims to determine how the patients feel the robot may contribute to their care and how they r...

Developing Artificial Neural Network Models to Predict Functioning One Year After Traumatic Spinal Cord Injury.

Archives of physical medicine and rehabilitation
OBJECTIVE: To develop mathematical models for predicting level of independence with specific functional outcomes 1 year after discharge from inpatient rehabilitation for spinal cord injury.

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the hemiparetic arm after stroke, although applications for the wrist and hand are trailing behind. Furthermore, applying a training device in domestic set...

MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices.

International journal of medical informatics
OBJECTIVE: The increasing use of health self-tracking devices is making the integration of heterogeneous data and shared decision-making more challenging. Computational analysis of lifelog data has been hampered by the lack of semantic and syntactic ...

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

International journal of medical informatics
OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for patient-centric decision support tools.