This paper is in the following e-collection/theme issue:

Asthma Education and Self-Management in Childhood and Adolescence (69) Mobile Health (mhealth) (2760) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1308) Digital Biomarkers and Digital Phenotyping (178)

Published on in Vol 1, No 2 (2018): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11988, first published .
“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma

“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma

“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma

Authors of this article:

Utkarshani Jaimini1 Author Orcid Image ;   Krishnaprasad Thirunarayan1 Author Orcid Image ;   Maninder Kalra2 Author Orcid Image ;   Revathy Venkataraman1 Author Orcid Image ;   Dipesh Kadariya1 Author Orcid Image ;   Amit Sheth1 Author Orcid Image
Article Authors Cited by (25) Tweetations (5) Metrics

Journals

  1. Venkataramanan R, Thirunarayan K, Jaimini U, Kadariya D, Yip H, Kalra M, Sheth A. Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatrics and Parenting 2019;2(1):e14300 View
  2. Radhakrishnan K, Kim M, Burgermaster M, Brown R, Xie B, Bray M, Fournier C. The potential of digital phenotyping to advance the contributions of mobile health to self-management science. Nursing Outlook 2020;68(5):548 View
  3. Iio M, Miyaji Y, Yamamoto-Hanada K, Narita M, Nagata M, Ohya Y. Beneficial Features of a mHealth Asthma App for Children and Caregivers: Qualitative Study. JMIR mHealth and uHealth 2020;8(8):e18506 View
  4. Greiwe J, Nyenhuis S. Wearable Technology and How This Can Be Implemented into Clinical Practice. Current Allergy and Asthma Reports 2020;20(8) View
  5. Hsia B, Singh A, Njeze O, Cosar E, Mowrey W, Feldman J, Reznik M, Jariwala S. Developing and evaluating ASTHMAXcel adventures. Annals of Allergy, Asthma & Immunology 2020;125(5):581 View
  6. Sheth A, Yip H, Shekarpour S. Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge: Case Studies with Healthcare Applications. IEEE Intelligent Systems 2019;34(4):24 View
  7. Yang Q, Hatch D, Crowley M, Lewinski A, Vaughn J, Steinberg D, Vorderstrasse A, Jiang M, Shaw R. Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis. JMIR mHealth and uHealth 2020;8(6):e17730 View
  8. Ferrante G, Licari A, Marseglia G, La Grutta S. Digital health interventions in children with asthma. Clinical & Experimental Allergy 2021;51(2):212 View
  9. Sriram R, Subrahmanian E. Transforming Health Care through Digital Revolutions. Journal of the Indian Institute of Science 2020;100(4):753 View
  10. Wang X, Vouk N, Heaukulani C, Buddhika T, Martanto W, Lee J, Morris R. HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning. Journal of Medical Internet Research 2021;23(3):e23984 View
  11. Mosnaim G, Safioti G, Brown R, DePietro M, Szefler S, Lang D, Portnoy J, Bukstein D, Bacharier L, Merchant R. Digital Health Technology in Asthma: A Comprehensive Scoping Review. The Journal of Allergy and Clinical Immunology: In Practice 2021;9(6):2377 View
  12. Hui C, McKinstry B, Mclean S, Buchner M, Pinnock H. Assessing the technical feasibility of a flexible, integrated Internet-of-things connected for asthma (C4A) system to support self-management: a mixed method study exploring patients and healthcare professionals perspectives. JAMIA Open 2022;5(4) View
  13. Iio M, Sato M, Narita M, Yamamoto-Hanada K, Oishi T, Kishino A, Kawaguchi T, Nishi R, Nagata M, Ohya Y. Development and Feasibility of a Mobile Asthma App for Children and Their Caregivers: Mixed Methods Study. JMIR Formative Research 2022;6(5):e34509 View
  14. Bashir M, Basna R, Zhang G, Backman H, Lindberg A, Ekerljung L, Axelsson M, Hedman L, Vanfleteren L, Lundbäck B, Rönmark E, Nwaru B. Computational phenotyping of obstructive airway diseases: protocol for a systematic review. Systematic Reviews 2022;11(1) View
  15. Delrieu L, Hamy A, Coussy F, Kassara A, Asselain B, Antero J, De Villèle P, Dumas E, Forstmann N, Guérin J, Hotton J, Jouannaud C, Milder M, Leopold A, Sedeaud A, Soibinet P, Toussaint J, Vercamer V, Laas E, Reyal F. Digital phenotyping in young breast cancer patients treated with neoadjuvant chemotherapy (the NeoFit Trial): protocol for a national, multicenter single-arm trial. BMC Cancer 2022;22(1) View
  16. Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
  17. Goossens J, Bullens D, Dupont L, Seys S. Exposome mapping in chronic respiratory diseases: the added value of digital technology. Current Opinion in Allergy & Clinical Immunology 2022;22(1):1 View
  18. van der Kamp M, Hengeveld V, Brusse-Keizer M, Thio B, Tabak M. eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review. Journal of Medical Internet Research 2023;25:e45896 View
  19. Higgins B, Jones L, Devraj K, Kilduff C, Moosajee M. ‘It would help people to help me’: Acceptability of digital phenotyping among young people with visual impairment and their families. DIGITAL HEALTH 2024;10 View
  20. Lee J, Browning E, Hokayem J, Albrechta H, Goodman G, Venkatasubramanian K, Dumas A, Carreiro S, O’Cleirigh C, Chai P. Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics. Journal of Medical Toxicology 2024;20(2):205 View
  21. Castro M, Zavod M, Rutgersson A, Jörntén-Karlsson M, Dutta B, Hagger L. iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control. Journal of Asthma and Allergy 2024;Volume 17:653 View

Books/Policy Documents

  1. Jaimini U, Sheth A. Recent Advances in Asthma Research and Treatments. View
  2. Gyrard A, Jaimini U, Gaur M, Shekharpour S, Thirunarayan K, Sheth A. Semantic Models in IoT and eHealth Applications. View