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Patient Similarity in Prediction Models Based on Health Data: A Scoping Review

Patient Similarity in Prediction Models Based on Health Data: A Scoping Review

In this study, a grid search found a cut-off probability based on the distribution of pairwise distances to define a distance threshold.

Anis Sharafoddini, Joel A Dubin, Joon Lee

JMIR Med Inform 2017;5(1):e7


Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study

Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study

IntroductionBackgroundBy definition, a fall refers to “an event which results in a person coming to rest inadvertently on the ground or floor or other lower level” [1].

Yang Yang, John P Hirdes, Joel A Dubin, Joon Lee

JMIR Aging 2019;2(1):e12153


CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions

While JMIR was the journal which had most trials published, the distribution has a very long tail, with relevant articles scattered in a wide range of other journals (see Table 1).

Gunther Eysenbach, CONSORT-EHEALTH Group

J Med Internet Res 2011;13(4):e126


Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change

Native apps run locally on a smartphone’s operating system in a way that is analogous to programs running on a desktop computer.

Lana Hebden, Amelia Cook, Hidde P. van der Ploeg, Margaret Allman-Farinelli

JMIR Res Protoc 2012;1(2):e9


Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

with the goal of providing a set of stand-alone tools that can be easily combined in a processing pipeline.

João Figueira Silva, João Rafael Almeida, Sérgio Matos

JMIR Med Inform 2020;8(12):e22898


Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

Metadata Correction: Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: Prospective Intervention

In the paper by David Thompson et al, “Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention” (JMIR Mhealth Uhealth 2017

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

JMIR Mhealth Uhealth 2018;6(4):e13