Published on in Vol 21, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13463, first published .
An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study

An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study

An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study

Journals

  1. Cathcart-Rake E, Ruddy K. Smart Technology and Endocrine Therapy Adherence. Journal of Clinical Oncology 2020;38(19):2117 View
  2. Chung I, Jung M, Park Y, Cho D, Chung H, Min Y, Park H, Lee M, Lee S, Chung S, Son B, Ahn S, Lee J. Exercise Promotion and Distress Reduction Using a Mobile App-Based Community in Breast Cancer Survivors. Frontiers in Oncology 2020;9 View
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  6. Molina-Luque R, Carrasco-Marín F, Márquez-Urrizola C, Ulloa N, Romero-Saldaña M, Molina-Recio G. Accuracy of the Resting Energy Expenditure Estimation Equations for Healthy Women. Nutrients 2021;13(2):345 View
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  8. Morrison K, Paterson C, Toohey K. The Feasibility of Exercise Interventions Delivered via Telehealth for People Affected by Cancer: A Rapid Review of the Literature. Seminars in Oncology Nursing 2020;36(6):151092 View
  9. Koontz B, Levine E, McSherry F, Niedzwiecki D, Sutton L, Dale T, Streicher M, Rushing C, Owen L, Kraus W, Bennett G, Pollak K. Increasing physical activity in Cancer Survivors through a Text-messaging Exercise motivation Program (ICanSTEP). Supportive Care in Cancer 2021;29(12):7339 View
  10. Albino de Queiroz D, André da Costa C, Aparecida Isquierdo Fonseca de Queiroz E, Folchini da Silveira E, da Rosa Righi R. Internet of Things in active cancer Treatment: A systematic review. Journal of Biomedical Informatics 2021;118:103814 View
  11. Park Y, Chung H, Park S. Changes of Walking Activity During the First Cycle Phases of COVID-19 Pandemic: A Case Study of Seoul, Korea. HERD: Health Environments Research & Design Journal 2021;14(4):43 View
  12. Ghosh T, Banna M, Rahman M, Kaiser M, Mahmud M, Hosen A, Cho G. Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society 2021;74:103189 View
  13. Benedetti D, Olcese U, Bruno S, Barsotti M, Maestri Tassoni M, Bonanni E, Siciliano G, Faraguna U. Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach. Nature and Science of Sleep 2022;Volume 14:941 View
  14. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  15. Gvozdanovic A, Jozsa F, Fersht N, Grover P, Kirby G, Kitchen N, Mangiapelo R, McEvoy A, Miserocchi A, Patel R, Thorne L, Williams N, Kosmin M, Marcus H. Integration of a personalised mobile health (mHealth) application into the care of patients with brain tumours: proof-of-concept study (IDEAL stage 1). BMJ Surgery, Interventions, & Health Technologies 2022;4(1):e000130 View
  16. Reverte-Pagola G, Sánchez-Trigo H, Saxton J, Sañudo B. Supervised and Non-Supervised Exercise Programs for the Management of Cancer-Related Fatigue in Women with Breast Cancer: A Systematic Review and Meta-Analysis. Cancers 2022;14(14):3428 View
  17. Peng Y, Zhang K, Wang L, Peng Y, Liu Z, Liu L, Luo Y, Gu C. Effect of a telehealth-based exercise intervention on the physical activity of patients with breast cancer: A systematic review and meta-analysis. Asia-Pacific Journal of Oncology Nursing 2022;9(12):100117 View
  18. Perez A, Siddiqui F, Zeadally S, Lane D. A review of IoT systems to enable independence for the elderly and disabled individuals. Internet of Things 2023;21:100653 View
  19. Kim Y, Park I, Kim C, Yoon Y, Lim S, Yu C, Kim J, Lee Y, Kim H, Chung S, Choi C, Lee H, Kim K, Ko Y, Yun S, Jo M, Lee J. Lifestyle interventions after colorectal cancer surgery using a mobile digital device: A study protocol for a randomized controlled trial. Medicine 2022;101(41):e31264 View
  20. Baek S, Lee S, Lee Y, Chung S, Choi C, Lee H, Jo M, Yun S, Lee J. Effects of Mobile Healthcare Applications on the Lifestyle of Patients With Breast Cancer: A Protocol for a Randomized Clinical Trial. Journal of Breast Cancer 2022;25(5):425 View
  21. Ahmadi M, Shahrokhi S, Khavaninzadeh M, Alipour J. Development of a Mobile-Based Self-care Application for Patients with Breast Cancer-Related Lymphedema in Iran. Applied Clinical Informatics 2022;13(05):935 View
  22. Benedetti D, Olcese U, Bruno S, Barsotti M, Maestri Tassoni M, Bonanni E, Siciliano G, Faraguna U. Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach. SSRN Electronic Journal 2021 View
  23. Jung M, Lee S, Lee J, Park Y, Chung H, Min Y, Park H, Lee M, Chung S, Son B, Ahn S, Chung I. The Impact of a Mobile Support Group on Distress and Physical Activity in Breast Cancer Survivors: Randomized, Parallel-Group, Open-Label, Controlled Trial. Journal of Medical Internet Research 2023;25:e47158 View
  24. Albino de Queiroz D, Silva Passarello R, Veloso de Moura Fé V, Rossini A, Folchini da Silveira E, Aparecida Isquierdo Fonseca de Queiroz E, André da Costa C. A wearable chatbot-based model for monitoring colorectal cancer patients in the active phase of treatment. Healthcare Analytics 2023;4:100257 View
  25. Cui K, Hong Z, Feng Y, Li Z, Song X, Lou S, Tan J. Extraction of evolutionary factors in smart manufacturing systems with heterogeneous product preferences and trust levels. Engineering Applications of Artificial Intelligence 2024;129:107655 View
  26. Birla M, Rajan , Roy P, Gupta I, Malik P. Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review. Oncology 2024:1 View
  27. Ortiz B, Gupta V, Kumar R, Jalin A, Cao X, Ziegenbein C, Singhal A, Tewari M, Choi S. Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care. JMIR mHealth and uHealth 2024;12:e59587 View
  28. Izmailova E, Middleton D, Yunis R, Lakeland J, Sowalsky K, Kling J, Ritchie A, Guo C, Byrom B, Kern S. Implementing sensor‐based digital health technologies in clinical trials: Key considerations from the eCOA Consortium. Clinical and Translational Science 2024;17(11) View