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Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

The presence of any of the following criteria (ie, abbreviated with the letters B, D, M, and N) were used to qualify the hospitalizations for inclusion in the PWUD cohort: B (Biomarkers): In line with a previous study, positive urine toxicology for drugs or medications for SUD (eg, cocaine, amphetamine, methadone, suboxone, fentanyl, opiate, oxycodone), positive HCV antibody with positive or quantifiable HCV viral load [29] D (Diagnostic codes): Presence of ICD-9 and or ICD-10 code for overdose, substance use

Taisuke Sato, Emily D Grussing, Ruchi Patel, Jessica Ridgway, Joji Suzuki, Benjamin Sweigart, Robert Miller, Alysse G Wurcel

JMIR AI 2025;4:e63147

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation

To mitigate this, we also reported Cohen d, which quantified the standardized magnitude of change regardless of sample size, and 95% CI, which offered a range of plausible values for the mean difference. Postcoaching variation and effect size. a Hb A1c: glycated hemoglobin. b LDL: low-density lipoprotein. ce GFR: estimated glomerular filtration rate. These complementary metrics provide more nuanced insight into intervention effects.

Konstantina Kostopoulou, Danae Lekka, Aristodemos Pnevmatikakis, Nelina Angelova, Panagiotis Stafylas, Stefanos Tamouridis, Alexandra Bargiota, Sofoklis Kyriazakos

JMIR Form Res 2025;9:e73807