Dilchert, Stephan

Personality scale validities increase throughout medical school.

Lievens, F., Ones, D. S., & Dilchert, S. (2009) · Journal of Applied Psychology

Personality Traits and PsychologyMedical Education and Admissions

Cited by 213

Feasibility of continuous fever monitoring using wearable devices

Smarr, B. L., Aschbacher, K., Fisher, S. M., Chowdhary, A., Dilchert, S., Puldon, K., Rao, A., Hecht, F. M., & Mason, A. E. (2020) · Scientific Reports

Non-Invasive Vital Sign MonitoringInfrared Thermography in Medicine

Cited by 133

Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study

Mason, A. E., Kasl, P., Soltani, S., Green, A., Hartogensis, W., Dilchert, S., Chowdhary, A., Pandya, L. S., Siwik, C. J., Foster, S. L., et al. (2024) · Scientific Reports

Circadian rhythm and melatoninMental Health Research Topics

Cited by 31

Five million nights: temporal dynamics in human sleep phenotypes

Viswanath, V. K., Hartogenesis, W., Dilchert, S., Pandya, L., Hecht, F. M., Mason, A. E., Wang, E. J., & Smarr, B. L. (2024) · npj Digital Medicine

Sleep and related disordersCircadian rhythm and melatonin

Cited by 20

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach

Kasl, P., Keeler Bruce, L., Hartogensis, W., Dasgupta, S., Pandya, L. S., Dilchert, S., Hecht, F. M., Gupta, A., Altintas, I., Mason, A. E., et al. (2024) · Sensors

Data-Driven Disease SurveillanceNon-Invasive Vital Sign Monitoring

Cited by 13

Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change in Heart Rate on Weekends as a Surrogate Intervention

Soltani, S., Viswanath, V. K., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., & Smarr, B. L. (2025) · Journal of Medical Internet Research

Statistical Methods and Bayesian InferenceMental Health Research Topics

Cited by 3

Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis

Viswanath, V. K., Navaneethan, S., Burks, J. H., Soltani, S., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., Wang, E. J., et al. (2026) · Communications Medicine

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 0