Development of personalized machine learning models for predicting panic attacks in college students
Frontiers in Digital Health · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Research TopicsEmotion and Mood Recognitionpanic attackspersonalized machine learninguniversity studentsOura Ringphysiological signalssleepphysical activitylongitudinal dataunsupervised clusteringmental health interventionslifestyle intervention
Come citare questo studio
Dheeraj Dhanvee Kairamkonda, Josh Cherian, Guido Mascia, Johanna E. Hidalgo, Julia N. Kim, Jordan Llorin, Kathryn Stanton, Jennifer Ha, Peter Sheridan Dodds, Matthew Price, Christopher M. Danforth, Joseph Sartini, Ellen W. McGinnis, Ryan S. McGinnis. (2026). Development of personalized machine learning models for predicting panic attacks in college students. Frontiers in Digital Health. DOI: 10.3389/fdgth.2026.1978650
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