AIMC Topic: Patient Reported Outcome Measures

Clear Filters Showing 91 to 94 of 94 articles

Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2019
BACKGROUND: Identifying patients at risk of not achieving meaningful gains in long-term postsurgical patient-reported outcome measures (PROMs) is important for improving patient monitoring and facilitating presurgical decision support. Machine learni...
Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Predictive Value of Tests Disability Evaluation Registries Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Minimal Clinically Important Difference
View on PubMed DOI

Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2019
Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Predictive Value of Tests Disability Evaluation Registries Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Minimal Clinically Important Difference
View on PubMed DOI

Real World Patient-reported Outcomes in HIV-infected Adults Switching to EVIPLERA®, Because of a Previous Intolerance to cART. PRO-STR Study.

Current HIV research Jan 1, 2018
BACKGROUND: To investigate the impact of switching from stable Combined Antiretroviral Therapy (cART) to single-tablet regimen (RPV/FTC/TDF=EVIPLERA® /COMPLERA®) on patient- reported outcomes in HIV-infected adults who cannot tolerate previous cART, ...
Humans Prospective Studies Female Adult Male Middle Aged Quality of Life HIV Infections Viral Load Anti-HIV Agents Treatment Outcome Drug Combinations CD4 Lymphocyte Count Antiretroviral Therapy, Highly Active Patient Reported Outcome Measures Drug Substitution
View on PubMed DOI

Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better".

Studies in health technology and informatics Jan 1, 2017
The rise of health consumers and the accumulation of patient-generated health data (PGHD) have brought the patient to the centerstage of precision health and behavioral science. In this positional paper we outline an interpretability-aware framework ...
Humans Patient-Centered Care Health Services Patient Reported Outcome Measures Statistics as Topic
View on PubMed
Popular Topics
Recent Journals