AIMC Topic: Medical Informatics Applications
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Impedance control in a wave-based teleoperator for rehabilitation motor therapies assisted by robots.
Computer methods and programs in biomedicine
Oct 9, 2015
This paper presents an improved wave-based bilateral teleoperation scheme for rehabilitation therapies assisted by robot manipulators. The main feature of this bilateral teleoperator is that both robot manipulators, master and slave, are controlled b...
Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.
BMC medical informatics and decision making
Oct 9, 2015
BACKGROUND: Resources for home care rehabilitation are limited, and many home care clients who could benefit do not receive rehabilitation therapy. The interRAI Contact Assessment (CA) is a new screening instrument comprised of a subset of interRAI H...
Semantic biomedical resource discovery: a Natural Language Processing framework.
BMC medical informatics and decision making
Sep 30, 2015
BACKGROUND: A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main dra...
Exploiting Semantic Web Technologies to Develop OWL-Based Clinical Practice Guideline Execution Engines.
IEEE journal of biomedical and health informatics
Dec 18, 2014
Computerizing paper-based CPG and then executing them can provide evidence-informed decision support to physicians at the point of care. Semantic web technologies especially web ontology language (OWL) ontologies have been profusely used to represent...
A digital health profile & maturity assessment toolkit: cocreation and testing in the Pacific Islands.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
INTRODUCTION: Countries need to determine their level of digital health capability maturity to assess and mobilize their knowledge, skills, and resources to systematically develop, implement, evaluate, scale up and maintain large-scale implementation...
Regulatory oversight, causal inference, and safe and effective health care machine learning.
Biostatistics (Oxford, England)
Apr 1, 2020
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has b...
Can AI Fix Medical Records?
Nature
Dec 1, 2019
Leveraging Digital Health and Machine Learning Toward Reducing Suicide-From Panacea to Practical Tool.
JAMA psychiatry
Oct 1, 2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
The proliferation of healthcare data has brought the opportunities of applying data-driven approaches, such as machine learning methods, to assist diagnosis. Recently, many deep learning methods have been shown with impressive successes in predicting...
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