Digital Biomarkers and Digital Phenotyping

Articles published in 2023 in this theme: 26 (scroll down to load remaining articles)

2023

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App Characteristics and Accuracy Metrics of Available Digital Biomarkers for Autism: Scoping Review

Sonia Ponzo, Merle May, Miren Tamayo-Elizalde, Kerri Bailey, Alanna J Shand, Ryan Bamford, Jan Multmeier, Ivan Griessel, Benedek Szulyovszky, William Blakey, Sophie Valentine, David Plans

JMIR Mhealth Uhealth 2023 (Nov 17); 11:e52377

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Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

Ramon E Diaz-Ramos, Isabella Noriega, Luis A Trejo, Eleni Stroulia, Bo Cao

JMIR Res Protoc 2023 (Nov 13); 12:e48210

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Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Teruhisa Watase, Yasuhiro Omiya, Shinichi Tokuno

JMIR Biomed Eng 2023 (Nov 06); 8:e50924

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Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study

Gabrielė Jenciūtė, Gabrielė Kasputytė, Inesa Bunevičienė, Erika Korobeinikova, Domas Vaitiekus, Arturas Inčiūra, Laimonas Jaruševičius, Romas Bunevičius, Ričardas Krikštolaitis, Tomas Krilavičius, Elona Juozaitytė, Adomas Bunevičius

JMIR Res Protoc 2023 (Oct 10); 12:e49096

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Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Antoine Oudin, Redwan Maatoug, Alexis Bourla, Florian Ferreri, Olivier Bonnot, Bruno Millet, Félix Schoeller, Stéphane Mouchabac, Vladimir Adrien

J Med Internet Res 2023 (Oct 04); 25:e44502

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Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study

Radhika Suneel Kelkar, Danielle Currey, Srilakshmi Nagendra, Urvakhsh Meherwan Mehta, Vanteemar S Sreeraj, John Torous, Jagadisha Thirthalli

JMIR Form Res 2023 (Sep 01); 7:e40197

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Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches

Juliet Beni Edgcomb, Chi-hong Tseng, Mengtong Pan, Alexandra Klomhaus, Bonnie T Zima

JMIR Ment Health 2023 (Jul 21); 10:e47084

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Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review

Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, Johan Sanmartin Berglund

J Med Internet Res 2023 (Jul 19); 25:e46105

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Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study

Aaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, Atul Malhotra, Kai Zheng, Shamim Nemati

J Med Internet Res 2023 (Jun 23); 25:e45614

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Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study

Aurelie Fischer, Gloria A Aguayo, Pauline Oustric, Laurent Morin, Jerome Larche, Charles Benoy, Guy Fagherazzi

JMIR Res Protoc 2023 (Jun 19); 12:e46103

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Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study

Taylor A Braund, Bridianne O’Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen

JMIR Ment Health 2023 (May 15); 10:e44986

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Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study

Gerard Anmella, Filippo Corponi, Bryan M Li, Ariadna Mas, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Marina Garriga, Isabel Agasi, Anna Bastidas, Myriam Cavero, Tabatha Fernández-Plaza, Néstor Arbelo, Miquel Bioque, Clemente García-Rizo, Norma Verdolini, Santiago Madero, Andrea Murru, Silvia Amoretti, Anabel Martínez-Aran, Victoria Ruiz, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H Young, Eduard Vieta, Antonio Vergari, Diego Hidalgo-Mazzei

JMIR Mhealth Uhealth 2023 (May 04); 11:e45405

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Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study

Chrisogonas Odero Odhiambo, Lukacs Ablonczy, Pamela J Wright, Cynthia F Corbett, Sydney Reichardt, Homayoun Valafar

JMIR Hum Factors 2023 (May 04); 10:e42714

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Reintroducing the Effortless Assessment Research System (EARS)

Monika N Lind, Lauren E Kahn, Ryann Crowley, Wyatt Reed, Geordie Wicks, Nicholas B Allen

JMIR Ment Health 2023 (Apr 26); 10:e38920

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Focusing on Digital Research Priorities for Advancing the Access and Quality of Mental Health

John Torous, Nicole M Benson, Keris Myrick, Gunther Eysenbach

JMIR Ment Health 2023 (Apr 24); 10:e47898

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Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Savneet Kaur, Erik Larsen, James Harper, Bharat Purandare, Ahmet Uluer, Mohammad Adrian Hasdianda, Nikita Arun Umale, James Killeen, Edward Castillo, Sunit Jariwala

J Med Internet Res 2023 (Apr 14); 25:e44410

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Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis

George Aalbers, Andrew T Hendrickson, Mariek MP Vanden Abeele, Loes Keijsers

JMIR Mhealth Uhealth 2023 (Mar 23); 11:e37469

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Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review

Anna M Langener, Gert Stulp, Martien J Kas, Laura F Bringmann

JMIR Ment Health 2023 (Mar 17); 10:e42646

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A Call to Expand the Scope of Digital Phenotyping

Christopher De Boer, Hassan Ghomrawi, Suhail Zeineddin, Samuel Linton, Soyang Kwon, Fizan Abdullah

J Med Internet Res 2023 (Mar 14); 25:e39546

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Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study

Koen Niemeijer, Merijn Mestdagh, Stijn Verdonck, Kristof Meers, Peter Kuppens

JMIR Form Res 2023 (Mar 07); 7:e43296

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