AIMC Topic: Patient Participation
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Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.
Artificial intelligence in medicine
Nov 23, 2018
The conciliation of multiple single-disease guidelines for comorbid patients entails solving potential clinical interactions, discovering synergies in the diagnosis and the recommendations, and managing clinical equipoise situations. Personalized con...
Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.
PloS one
Oct 18, 2018
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...
Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification.
Journal of biomedical informatics
Apr 27, 2018
BACKGROUND: Current Chinese medicine has an urgent demand for convenient medical services. When facing a large number of patients, understanding patients' questions automatically and precisely is useful. Different from the high professional medical t...
From passive passenger to participating co-pilot - Pregnant women's expectations of being able to access their online journal from antenatal care.
Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives
Nov 28, 2017
OBJECTIVE: The aim of the study was to describe pregnant women's expectations of being able to access their electronic health records from antenatal care.
Toward Multimodal Human-Robot Interaction to Enhance Active Participation of Users in Gait Rehabilitation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 11, 2017
Robotic exoskeletons for physical rehabilitation have been utilized for retraining patients suffering from paraplegia and enhancing motor recovery in recent years. However, users are not voluntarily involved in most systems. This paper aims to develo...
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.
Journal of biomedical informatics
Mar 18, 2017
Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult because topics of OHC content are usually heterogeneous and domain-dependent. In this paper, we prov...
EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 2, 2016
Two key ingredients of a successful neuro-rehabilitative intervention have been identified as intensive and repetitive training and subject's active participation, which can be coupled in an active robot-assisted training. To exploit these two elemen...
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.
Journal of the American Medical Informatics Association : JAMIA
Apr 27, 2016
OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient agrees or declines) before he/she is approached for a clinical trial invitation; (2) to assess the algorithm performance and the predictors on real-w...
Artificial Intelligence in Medicine AIME 2013.
Artificial intelligence in medicine
Jul 30, 2015
Participatory Health and Artificial Intelligence: A Literature Review.
Studies in health technology and informatics
May 15, 2025
INTRODUCTION: Participatory Health (PH) emerges as a consequence of the rise of the internet, which has led to a patient-centered approach. Participatory Health Informatics (PHI) uses information technologies and evaluates the use of tools. The emerg...
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