Fitbit Data Produce Accurate Mood Symptomatology Predictions
By Lori Solomon HealthDay Reporter
TUESDAY, Dec. 3, 2024 -- Machine learning shows good performance in detecting mood symptomatology in patients with bipolar disorder (BD) using Fitbit data, according to a study published online Oct. 13 in Acta Psychiatrica Scandinavica.
Jessica M. Lipschitz, Ph.D., from Brigham and Women's Hospital in Boston, and colleagues evaluated whether a novel, personalized machine learning approach, trained entirely on passive Fitbit data with limited data filtering, could accurately detect mood symptomatology in BD patients. The analysis included 54 adults with BD who wore Fitbits and completed biweekly self-report measures for nine months.
The researchers found that binary mixed-model (BiMM) forest achieved the highest area under the receiver operating curve (ROC-AUC) in the validation process. The ROC-AUC in the testing set was 86.0 percent for depression and 85.2 percent for (hypo)mania. Using optimized thresholds via the Youden's J statistic, predictive accuracy was 80.1 percent for depression (sensitivity of 71.2 percent and specificity of 85.6 percent) and 89.1 percent for (hypo)mania (sensitivity of 80.0 percent and specificity of 90.1 percent).
"Overall, results move the field a step toward personalized algorithms suitable for the full population of patients, rather than only those with high compliance, access to specialized devices, or willingness to share invasive data," the authors write.
Several authors disclosed ties to relevant organizations.
Abstract/Full Text (subscription or payment may be required)
Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

© 2025 HealthDay. All rights reserved.
Posted December 2024
Read this next
Declining Childhood Vaccination May Increase Risk for Vaccine-Preventable Infections
WEDNESDAY, April 30, 2025 -- Declining childhood vaccination rates may increase outbreaks of eliminated vaccine-preventable infections within the United States, leading to a...
AACR: Incidence-Based Mortality Dropping for Young Women With Breast Cancer
TUESDAY, April 29, 2025 -- Incidence-based mortality (IBM) declined from 2010 to 2020 among women aged 20 to 49 years diagnosed with breast cancer, according to a study presented...
AACR: Nonsurgical Treatment Feasible for Mismatch Repair-Deficient Tumors
TUESDAY, April 29, 2025 -- A neoadjuvant programmed cell death 1 (PD-1) blockade enables nonoperative management among patients with early-stage mismatch repair-deficient (dMMR)...
More news resources
- FDA Medwatch Drug Alerts
- Daily MedNews
- News for Health Professionals
- New Drug Approvals
- New Drug Applications
- Drug Shortages
- Clinical Trial Results
- Generic Drug Approvals
Subscribe to our newsletter
Whatever your topic of interest, subscribe to our newsletters to get the best of Drugs.com in your inbox.