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Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study

Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study

The remaining missing values were imputed with the regularized iterative principal component analysis (PCA) algorithm of the missMDA package of R software [15], which allows the imputed values to have no weight on the PCA results.

Laurent Cleret de Langavant, Eleonore Bayen, Kristine Yaffe

J Med Internet Res 2018;20(7):e10493


Automatic Near Real-Time Outlier Detection and Correction in Cardiac Interbeat Interval Series for Heart Rate Variability Analysis: Singular Spectrum Analysis-Based Approach

Automatic Near Real-Time Outlier Detection and Correction in Cardiac Interbeat Interval Series for Heart Rate Variability Analysis: Singular Spectrum Analysis-Based Approach

While, ideally, all components of an R-R series originate from the SA node, the actual R-R series in both healthy and diseased subjects are contaminated by outliers due to artifacts and heart rhythm disturbances such as ectopic beats (ie, heart beats whose

Michael Lang

JMIR Biomed Eng 2019;4(1):e10740


Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning

Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning

Since all the phrases in this data set are true phenotypic terms and PhenoTips reports at most 10 concepts for each phrase, we measured the fraction of the predictions where the correct label was among the top 1 (R@1) and top 5 (R@5) recalled concepts, instead

Aryan Arbabi, David R Adams, Sanja Fidler, Michael Brudno

JMIR Med Inform 2019;7(2):e12596


Internet-Delivered Early Interventions for Individuals Exposed to Traumatic Events: Systematic Review

Internet-Delivered Early Interventions for Individuals Exposed to Traumatic Events: Systematic Review

The test-retest reliability (r=.88), inter-rater reliability (r=.75), and internal consistency (Kuder-Richardson formula 20=.89) of the checklist are good [25]. Higher scores indicate greater quality.

Naomi Ennis, Iris Sijercic, Candice M Monson

J Med Internet Res 2018;20(11):e280


Mobile-Enhanced Prevention Support Study for Men Who Have Sex With Men and Transgender Women Leaving Jail: Protocol for a Randomized Controlled Trial

Mobile-Enhanced Prevention Support Study for Men Who Have Sex With Men and Transgender Women Leaving Jail: Protocol for a Randomized Controlled Trial

to confirm their understanding by asking them to explain in their own words what the study entails, along with the study’s goals, main procedures, and risks and benefits, using an Evaluation to Sign a Consent Form for Research document produced by Charles R

Gabriel G Edwards, Cathy J Reback, William E Cunningham, Charles L Hilliard, Charles McWells, Sukrit Mukherjee, Robert E Weiss, Nina T Harawa

JMIR Res Protoc 2020;9(9):e18106


The Walking Interventions Through Texting (WalkIT) Trial: Rationale, Design, and Protocol for a Factorial Randomized Controlled Trial of Adaptive Interventions for Overweight and Obese, Inactive Adults

The Walking Interventions Through Texting (WalkIT) Trial: Rationale, Design, and Protocol for a Factorial Randomized Controlled Trial of Adaptive Interventions for Overweight and Obese, Inactive Adults

The 60th percentile was chosen based on previous PA research by Adams [16,20].It is important to highlight that prescribed adaptive goals always fall within each participant’s recent abilities due to the moving window of the last 9 days.

Jane C Hurley, Kevin E Hollingshead, Michael Todd, Catherine L Jarrett, Wesley J Tucker, Siddhartha S Angadi, Marc A Adams

JMIR Res Protoc 2015;4(3):e108