231 related articles for article (PubMed ID: 37955959)
21. Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a Nonrandomized Pilot Study.
Olesen KV; Lønfeldt NN; Das S; Pagsberg AK; Clemmensen LKH
JMIR Res Protoc; 2023 Nov; 12():e48571. PubMed ID: 37962931
[TBL] [Abstract][Full Text] [Related]
22. Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach.
Kim AY; Jang EH; Lee SH; Choi KY; Park JG; Shin HC
J Med Internet Res; 2023 Jan; 25():e34474. PubMed ID: 36696160
[TBL] [Abstract][Full Text] [Related]
23. A prospective observational study for a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment (FAITH): study protocol.
Lemos R; Areias-Marques S; Ferreira P; O'Brien P; Beltrán-Jaunsarás ME; Ribeiro G; Martín M; Del Monte-Millán M; López-Tarruella S; Massarrah T; Luís-Ferreira F; Frau G; Venios S; McManus G; Oliveira-Maia AJ
BMC Psychiatry; 2022 Dec; 22(1):817. PubMed ID: 36544126
[TBL] [Abstract][Full Text] [Related]
24. Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.
Singh A; Kumar D
Med Eng Phys; 2022 Dec; 110():103900. PubMed ID: 36273998
[TBL] [Abstract][Full Text] [Related]
25. Design, Recruitment, and Baseline Characteristics of a Virtual 1-Year Mental Health Study on Behavioral Data and Health Outcomes: Observational Study.
Kumar S; Tran JLA; Ramirez E; Lee WN; Foschini L; Juusola JL
JMIR Ment Health; 2020 Jul; 7(7):e17075. PubMed ID: 32706712
[TBL] [Abstract][Full Text] [Related]
26. Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques.
Kabir MK; Islam M; Kabir ANB; Haque A; Rhaman MK
JMIR Form Res; 2022 Sep; 6(9):e36118. PubMed ID: 36169989
[TBL] [Abstract][Full Text] [Related]
27. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data.
Liu JC; Goetz J; Sen S; Tewari A
JMIR Mhealth Uhealth; 2021 Mar; 9(3):e23728. PubMed ID: 33783362
[TBL] [Abstract][Full Text] [Related]
28. Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study.
Biondi A; Laiou P; Bruno E; Viana PF; Schreuder M; Hart W; Nurse E; Pal DK; Richardson MP
JMIR Res Protoc; 2021 Mar; 10(3):e25309. PubMed ID: 33739290
[TBL] [Abstract][Full Text] [Related]
29. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning-Based Exploratory Study.
Mullick T; Radovic A; Shaaban S; Doryab A
JMIR Form Res; 2022 Jun; 6(6):e35807. PubMed ID: 35749157
[TBL] [Abstract][Full Text] [Related]
30. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.
Kim H; Lee S; Lee S; Hong S; Kang H; Kim N
JMIR Mhealth Uhealth; 2019 Oct; 7(10):e14149. PubMed ID: 31621642
[TBL] [Abstract][Full Text] [Related]
31. Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study.
Sun Y; Kargarandehkordi A; Slade C; Jaiswal A; Busch G; Guerrero A; Phillips KT; Washington P
JMIR Res Protoc; 2024 Feb; 13():e46493. PubMed ID: 38324375
[TBL] [Abstract][Full Text] [Related]
32. High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study.
Zhou W; Chan YE; Foo CS; Zhang J; Teo JX; Davila S; Huang W; Yap J; Cook S; Tan P; Chin CW; Yeo KK; Lim WK; Krishnaswamy P
J Med Internet Res; 2022 Jul; 24(7):e34669. PubMed ID: 35904853
[TBL] [Abstract][Full Text] [Related]
33. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring.
Sheikh M; Qassem M; Kyriacou PA
Front Digit Health; 2021; 3():662811. PubMed ID: 34713137
[TBL] [Abstract][Full Text] [Related]
34. Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.
Tonn P; Seule L; Degani Y; Herzinger S; Klein A; Schulze N
JMIR Form Res; 2022 Aug; 6(8):e37061. PubMed ID: 36040767
[TBL] [Abstract][Full Text] [Related]
35. A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study.
Li J; Washington P
JMIR AI; 2024 May; 3():e52171. PubMed ID: 38875573
[TBL] [Abstract][Full Text] [Related]
36. Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.
Sükei E; Norbury A; Perez-Rodriguez MM; Olmos PM; Artés A
JMIR Mhealth Uhealth; 2021 Mar; 9(3):e24465. PubMed ID: 33749612
[TBL] [Abstract][Full Text] [Related]
37. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study.
Anmella G; Corponi F; Li BM; Mas A; Sanabra M; Pacchiarotti I; Valentí M; Grande I; Benabarre A; Giménez-Palomo A; Garriga M; Agasi I; Bastidas A; Cavero M; Fernández-Plaza T; Arbelo N; Bioque M; García-Rizo C; Verdolini N; Madero S; Murru A; Amoretti S; Martínez-Aran A; Ruiz V; Fico G; De Prisco M; Oliva V; Solanes A; Radua J; Samalin L; Young AH; Vieta E; Vergari A; Hidalgo-Mazzei D
JMIR Mhealth Uhealth; 2023 May; 11():e45405. PubMed ID: 36939345
[TBL] [Abstract][Full Text] [Related]
38. Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study.
Goodale BM; Shilaih M; Falco L; Dammeier F; Hamvas G; Leeners B
J Med Internet Res; 2019 Apr; 21(4):e13404. PubMed ID: 30998226
[TBL] [Abstract][Full Text] [Related]
39. Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study.
Cotes RO; Boazak M; Griner E; Jiang Z; Kim B; Bremer W; Seyedi S; Bahrami Rad A; Clifford GD
JMIR Res Protoc; 2022 Jul; 11(7):e36417. PubMed ID: 35830230
[TBL] [Abstract][Full Text] [Related]
40. A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial.
Goulding EH; Dopke CA; Rossom RC; Michaels T; Martin CR; Ryan C; Jonathan G; McBride A; Babington P; Bernstein M; Bank A; Garborg CS; Dinh JM; Begale M; Kwasny MJ; Mohr DC
JMIR Res Protoc; 2022 Feb; 11(2):e30710. PubMed ID: 35188473
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
