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Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

We believe this is due to the limitations of the predictions: underestimating the DOS of 1 case c being performed by surgeon h in room r can have cascading effects on another room r′ in which the same surgeon h is due to perform another surgery c′ at a later time. This causes additional overtime penalties for “Any,” something that the more restrictive “Split” and “MSSP” do not encounter.

Johnathan R Lex, Aazad Abbas, Jacob Mosseri, Jay Singh Toor, Michael Simone, Bheeshma Ravi, Cari Whyne, Elias B Khalil

JMIR Med Inform 2025;13:e70857


Personalized Interactive Music Systems for Physical Activity and Exercise: Exploratory Systematic Review and Meta-Analysis

Personalized Interactive Music Systems for Physical Activity and Exercise: Exploratory Systematic Review and Meta-Analysis

Meta-analytic models were conducted in R (version 4.5.1) using the metafor package [56], applying a random-effects model with the Der Simonian-Laird estimator for physical activity level, physical exertion, RPE, and affective valence. These outcomes were selected based on the preregistration criterion: “meta-analyses will be performed when at least three studies provide data sufficient for effect size calculation.”

Andrew Danso, Tiia Kekäläinen, Friederike Koehler, Keegan Knittle, Patti Nijhuis, Iballa Burunat, Pedro Neto, Anastasios Mavrolampados, William M Randall, Niels Chr Hansen, Alessandro Ansani, Timo Rantalainen, Vinoo Alluri, Martin Hartmann, Rebecca S Schaefer, Johanna K Ihalainen, Rebekah Rousi, Kat R Agres, Jennifer MacRitchie, Petri Toiviainen, Suvi Saarikallio, Sebastien Chastin, Geoff Luck

JMIR Hum Factors 2025;12:e70372


Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit

Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit

Data were collected from 2 subreddits, r/cyberbullying and r/bullying, over an 11-year period (2012‐2023) to capture relevant trends and patterns in discussions surrounding cyber victimization. A systematic data extraction process was conducted using Reddit’s application programming interface (API) and a custom web-scraping tool to gather posts and comments.

J'Andra Antisdel, Wendy R Miller, Doyle Groves

JMIR Infodemiology 2025;5:e75493


Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women

Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women

All statistical analyses were conducted using R (version 4.3.3; R Core Team). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional review boards of the Brigham and Women’s Hospital (protocol numbers 1999 P003389). All participants provided informed consent for data collection at the beginning of the pilot study. Participants were not compensated.

Li Yi, Claudia Trudel-Fitzgerald, Cindy R Hu, Grete Wilt, Jorge Chavarro, Jukka-Pekka Onnela, Francine Grodstein, Laura D Kubzansky, Peter James

JMIR Mhealth Uhealth 2025;13:e71375