Published on in Vol 7, No 8 (2019): August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/12649, first published
.
Journals
- Biebl J, Huber S, Rykala M, Kraft E, Lorenz A. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e21704 View
- Milne-Ives M, Lam C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(1):e16931 View
- Marsch L. Digital health and addiction. Current Opinion in Systems Biology 2020;20:1 View
- Ferrari M, Schick A. Teenagers, screens and social media: a commentary on Orben’s narrative review. Social Psychiatry and Psychiatric Epidemiology 2020;55(8):973 View
- Marsch L. Digital health data-driven approaches to understand human behavior. Neuropsychopharmacology 2021;46(1):191 View
- Huang E, Onnela J. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020;20(13):3706 View
- Henson P, Barnett I, Keshavan M, Torous J. Towards clinically actionable digital phenotyping targets in schizophrenia. npj Schizophrenia 2020;6(1) View
- Miaskowski C, Blyth F, Nicosia F, Haan M, Keefe F, Smith A, Ritchie C. A Biopsychosocial Model of Chronic Pain for Older Adults. Pain Medicine 2020;21(9):1793 View
- Milne-Ives M, Lam C, De Cock C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046 View
- Meegahapola L, Gatica-Perez D. Smartphone Sensing for the Well-Being of Young Adults: A Review. IEEE Access 2021;9:3374 View
- Rosa C, Marsch L, Winstanley E, Brunner M, Campbell A. Using digital technologies in clinical trials: Current and future applications. Contemporary Clinical Trials 2021;100:106219 View
- Behar J, Liu C, Kotzen K, Tsutsui K, Corino V, Singh J, Pimentel M, Warrick P, Zaunseder S, Andreotti F, Sebag D, Kopanitsa G, McSharry P, Karlen W, Karmakar C, Clifford G. Remote health diagnosis and monitoring in the time of COVID-19. Physiological Measurement 2020;41(10):10TR01 View
- Kohli M, Moore D, Moore R. Using health technology to capture digital phenotyping data in HIV-associated neurocognitive disorders. AIDS 2021;35(1):15 View
- Sandifer P, Knapp L, Lichtveld M, Manley R, Abramson D, Caffey R, Cochran D, Collier T, Ebi K, Engel L, Farrington J, Finucane M, Hale C, Halpern D, Harville E, Hart L, Hswen Y, Kirkpatrick B, McEwen B, Morris G, Orbach R, Palinkas L, Partyka M, Porter D, Prather A, Rowles T, Scott G, Seeman T, Solo-Gabriele H, Svendsen E, Tincher T, Trtanj J, Walker A, Yehuda R, Yip F, Yoskowitz D, Singer B. Framework for a Community Health Observing System for the Gulf of Mexico Region: Preparing for Future Disasters. Frontiers in Public Health 2020;8 View
- Mollard E, Michaud K. Self-Management of Rheumatoid Arthritis: Mobile Applications. Current Rheumatology Reports 2021;23(1) View
- Poudyal A, van Heerden A, Hagaman A, Islam C, Thapa A, Maharjan S, Byanjankar P, Kohrt B. What Does Social Support Sound Like? Challenges and Opportunities for Using Passive Episodic Audio Collection to Assess the Social Environment. Frontiers in Public Health 2021;9 View
- Doarn C. A New Beginning. Telemedicine and e-Health 2021;27(2):115 View
- Dong G, Boukhechba M, Shaffer K, Ritterband L, Gioeli D, Reilley M, Le T, Kunk P, Bauer T, Chow P. Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. Journal of Healthcare Informatics Research 2021;5(4):401 View
- Wetzel B, Pryss R, Baumeister H, Edler J, Gonçalves A, Cohrdes C. “How Come You Don’t Call Me?” Smartphone Communication App Usage as an Indicator of Loneliness and Social Well-Being across the Adult Lifespan during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(12):6212 View
- Abo-Tabik M, Benn Y, Costen N. Are Machine Learning Methods the Future for Smoking Cessation Apps?. Sensors 2021;21(13):4254 View
- Xu X, Mankoff J, Dey A. Understanding practices and needs of researchers in human state modeling by passive mobile sensing. CCF Transactions on Pervasive Computing and Interaction 2021;3(4):344 View
- Müller S, Chen X, Peters H, Chaintreau A, Matz S. Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples. Scientific Reports 2021;11(1) View
- Qirtas M, Zafeiridi E, Pesch D, White E. Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review. JMIR mHealth and uHealth 2022;10(4):e34638 View
- Ren B, Xia C, Gehrman P, Barnett I, Satterthwaite T. Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Formative Research 2022;6(9):e33890 View
- Baumeister H, Garatva P, Pryss R, Ropinski T, Montag C. Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?. Psychologische Rundschau 2023;74(2):89 View
- Costa A, Milne R. Understanding ‘passivity’ in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps. Big Data & Society 2022;9(1) View
- Ross G, Zhao Y, Bosman A, Geballa-Koukoula A, Zhou H, Elliott C, Nielen M, Rafferty K, Salentijn G. Best practices and current implementation of emerging smartphone-based (bio)sensors – Part 1: Data handling and ethics. TrAC Trends in Analytical Chemistry 2023;158:116863 View
- Kumar S, Datta D, Dong G, Cai L, Boukhechba M, Barnes L. Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. ACM Transactions on Computing for Healthcare 2022;3(4):1 View
- Bettis A, Burke T, Nesi J, Liu R. Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review. Clinical Psychological Science 2022;10(1):3 View
- Dirgová Luptáková I, Kubovčík M, Pospíchal J. Wearable Sensor-Based Human Activity Recognition with Transformer Model. Sensors 2022;22(5):1911 View
- Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
- Baumgartner S, Sumter S, Petkevič V, Wiradhany W. A Novel iOS Data Donation Approach: Automatic Processing, Compliance, and Reactivity in a Longitudinal Study. Social Science Computer Review 2023;41(4):1456 View
- Zhang X, Yang Y, Cao J, Qi Z, Li G. Point‐of‐care CRISPR/Cas biosensing technology: A promising tool for preventing the possible COVID‐19 resurgence caused by contaminated cold‐chain food and packaging. Food Frontiers 2023;4(1):207 View
- Girousse E, Vuillerme N. The Use of Passive Smartphone Data to Monitor Anxiety and Depression Among College Students in Real-World Settings: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(12):e38785 View
- Parker H, Burkart S, Reesor-Oyer L, Smith M, Dugger R, von Klinggraeff L, Weaver R, Beets M, Armstrong B. Feasibility of Measuring Screen Time, Activity, and Context Among Families With Preschoolers: Intensive Longitudinal Pilot Study. JMIR Formative Research 2022;6(9):e40572 View
- Moura I, Teles A, Viana D, Marques J, Coutinho L, Silva F. Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review. Journal of Biomedical Informatics 2023;138:104278 View
- Goulding E, Dopke C, Rossom R, Michaels T, Martin C, Ryan C, Jonathan G, McBride A, Babington P, Bernstein M, Bank A, Garborg C, Dinh J, Begale M, Kwasny M, Mohr D. 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. JMIR Research Protocols 2022;11(2):e30710 View
- Hauser T, Skvortsova V, De Choudhury M, Koutsouleris N. The promise of a model-based psychiatry: building computational models of mental ill health. The Lancet Digital Health 2022;4(11):e816 View
- Huang E, Yan K, Onnela J. Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data. Sensors 2022;22(7):2618 View
- Zhu T, Kuang L, Daniels J, Herrero P, Li K, Georgiou P. IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing. IEEE Internet of Things Journal 2023;10(5):3706 View
- Peyroteo M, Ferreira I, Elvas L, Ferreira J, Lapão L. Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review. JMIR mHealth and uHealth 2021;9(12):e28285 View
- Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes L, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413 View
- Gopalakrishnan A, Venkataraman R, Gururajan R, Zhou X, Genrich R. Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review. PeerJ Computer Science 2022;8:e1042 View
- Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
- Valentine L, D’Alfonso S, Lederman R. Recommender systems for mental health apps: advantages and ethical challenges. AI & SOCIETY 2023;38(4):1627 View
- Koutsouleris N, Hauser T, Skvortsova V, De Choudhury M. From promise to practice: towards the realisation of AI-informed mental health care. The Lancet Digital Health 2022;4(11):e829 View
- González-Pérez A, Matey-Sanz M, Granell C, Casteleyn S. Using mobile devices as scientific measurement instruments: Reliable android task scheduling. Pervasive and Mobile Computing 2022;81:101550 View
- De Calheiros Velozo J, Habets J, George S, Niemeijer K, Minaeva O, Hagemann N, Herff C, Kuppens P, Rintala A, Vaessen T, Riese H, Delespaul P. Designing daily-life research combining experience sampling method with parallel data. Psychological Medicine 2024;54(1):98 View
- Lee J, Solomonov N, Banerjee S, Alexopoulos G, Sirey J. Use of Passive Sensing in Psychotherapy Studies in Late Life: A Pilot Example, Opportunities and Challenges. Frontiers in Psychiatry 2021;12 View
- Shausan A, Nazarathy Y, Dyda A. Emerging data inputs for infectious diseases surveillance and decision making. Frontiers in Digital Health 2023;5 View
- Lee K, Lee T, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas M, Wright A, Demiris G, Ritchie C, Pickering C, Nicholas Dionne-Odom J. Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023;174:105061 View
- Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
- Chow P, Roller D, Boukhechba M, Shaffer K, Ritterband L, Reilley M, Le T, Kunk P, Bauer T, Gioeli D. Mobile sensing to advance tumor modeling in cancer patients: A conceptual framework. Internet Interventions 2023;34:100644 View
- Knights J, Shen J, Mysliwiec V, DuBois H. Associations of smartphone usage patterns with sleep and mental health symptoms in a clinical cohort receiving virtual behavioral medicine care: a retrospective study. Sleep Advances 2023;4(1) View
- Torres W, Abbott M, Wang Y, Stuart H. Skin Sensitivity Assessment Using Smartphone Haptic Feedback. IEEE Open Journal of Engineering in Medicine and Biology 2023;4:216 View
- Wiedermann M, Rose A, Maier B, Kolb J, Hinrichs D, Brockmann D, Levine B. Evidence for positive long- and short-term effects of vaccinations against COVID-19 in wearable sensor metrics. PNAS Nexus 2023;2(7) View
- Zhang X, Lewis S, Carter L, Bucci S. A Digital System (YouXin) to Facilitate Self-Management by People With Psychosis in China: Protocol for a Nonrandomized Validity and Feasibility Study With a Mixed Methods Design. JMIR Research Protocols 2023;12:e45170 View
- Gleeson J, McGuckian T, Fernandez D, Fraser M, Pepe A, Taskis R, Alvarez-Jimenez M, Farhall J, Gumley A. Systematic review of early warning signs of relapse and behavioural antecedents of symptom worsening in people living with schizophrenia spectrum disorders. Clinical Psychology Review 2024;107:102357 View
- Sun Y, Kargarandehkordi A, Slade C, Jaiswal A, Busch G, Guerrero A, Phillips K, Washington P. Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR Research Protocols 2024;13:e46493 View
- Piccin J, Viduani A, Buchweitz C, Pereira R, Zimerman A, Amando G, Cosenza V, Ferreira L, McMahon N, Melo R, Richter D, Reckziegel F, Rohrsetzer F, Souza L, Tonon A, Costa-Valle M, Zajkowska Z, Araújo R, Hauser T, van Heerden A, Hidalgo M, Kohrt B, Mondelli V, Swartz J, Fisher H, Kieling C. Prospective Follow-Up of Adolescents With and at Risk for Depression: Protocol and Methods of the Identifying Depression Early in Adolescence Risk Stratified Cohort Longitudinal Assessments. JAACAP Open 2024;2(2):145 View
- Liu Y. Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach. The Journal of Supercomputing 2024;80(8):10327 View
- Zhang X, Lewis S, Carter L, Chen X, Zhou J, Wang X, Bucci S. Evaluating a smartphone-based symptom self-monitoring app for psychosis in China (YouXin): A non-randomised validity and feasibility study with a mixed-methods design. DIGITAL HEALTH 2024;10 View
- Jung G, Park S, Ma E, Kim H, Lee U. Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data. ACM Computing Surveys 2024;56(9):1 View
- Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
- Monachelli R, Davis S, Barnard A, Longmire M, Docherty J, Oakley-Girvan I. Designing mHealth Apps to Incorporate Evidence-Based Techniques for Prolonging User Engagement. Interactive Journal of Medical Research 2024;13:e51974 View
- Khatiwada P, Yang B, Lin J, Blobel B. Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy. Journal of Personalized Medicine 2024;14(3):282 View
- O'Driscoll C, Singh A, Chichua I, Clodic J, Desai A, Nikolova D, Yap A, Zhou I, Pilling S. An Ecological Mobile Momentary Intervention to Support Dynamic Goal Pursuit: Feasibility and Acceptability Study. JMIR Formative Research 2024;8:e49857 View
- Zhu T, Kuang L, Piao C, Zeng J, Li K, Georgiou P. Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. IEEE Transactions on Biomedical Circuits and Systems 2024;18(2):236 View
- Zhang X, Lewis S, Chen X, Zhou J, Wang X, Bucci S. Acceptability and experience of a smartphone symptom monitoring app for people with psychosis in China (YouXin): a qualitative study. BMC Psychiatry 2024;24(1) View
- Choi A, Ooi A, Lottridge D. Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review. JMIR mHealth and uHealth 2024;12:e40689 View
- Jayousi S, Barchielli C, Alaimo M, Caputo S, Paffetti M, Zoppi P, Mucchi L. ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies. Sensors 2024;24(10):3129 View
- Scholich T, Raj S, Lee J, Newman M. Augmenting clinicians’ analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study. Journal of the American Medical Informatics Association 2024;31(11):2455 View
- Alexander J, Linkersdörfer J, Toda-Thorne K, Sullivan R, Cummins K, Tomko R, Allen N, Bagot K, Baker F, Fuemmeler B, Hoffman E, Kiss O, Mason M, Nguyen-Louie T, Tapert S, Smith C, Squeglia L, Wade N. Passively sensing smartphone use in teens with rates of use by sex and across operating systems. Scientific Reports 2024;14(1) View
- Jahanshad N, Lenzini P, Bijsterbosch J. Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry. Neuropsychopharmacology 2024;50(1):37 View
- Hamilton J, Dreier M, Caproni B, Fedor J, Durica K, Low C. Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping. Journal of Technology in Behavioral Science 2024 View
- Yağci Şentürk A, Şahin Ü. Investigation of Young People’s Use of Mobile Health Apps, and Their Physical Activity and Health Perception Levels. Hacettepe University Faculty of Health Sciences Journal 2023;10(3):648 View
- Rogan J, Firth J, Bucci S. Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study. Health Expectations 2024;27(6) View
- Sidani L, Nadar S, Tfaili J, El Rayes S, Sharara F, Elhage J, Fakhoury M. Digital Psychiatry: Opportunities, Challenges, and Future Directions. Journal of Psychiatric Practice 2024;30(6):400 View
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