Utilizing digital predictive biomarkers to identify Veteran suicide risk.

Holmgren, Jackson G; Morrow, Adelene; Coffee, Ali K; Nahod, Paige M; Santora, Samantha H; Schwartz, Brian; Stiegmann, Regan A; Zanetti, Cole A

Holmgren, Jackson G; Morrow, Adelene; Coffee, Ali K; Nahod, Paige M; Santora, Samantha H; Schwartz, Brian; Stiegmann, Regan A; Zanetti, Cole A.

Afiliação

Holmgren JG; Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States.
Morrow A; Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States.
Coffee AK; Rocky Vista University College of Osteopathic Medicine, Ivins, UT, United States.
Nahod PM; Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States.
Santora SH; Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States.
Schwartz B; Department of Medical Humanities, Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States.
Stiegmann RA; Department of Tracks and Special Programs, Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States.
Zanetti CA; Flight Medicine, US Air Force Academy, Colorado Springs, CO, United States.

Front Digit Health ; 4: 913590, 2022.

Article em En | MEDLINE | ID: mdl-36329831

Palavras-chave

biomarkers; digital health; digital predictive biomakers; veteran suicide; veterans

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2022 Tipo de documento: Article

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