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Published on 19.12.17 in Vol 19, No 12 (2017): December

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

Works citing "Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study"

Carissa A Low, Anind K Dey, Denzil Ferreira, Thomas Kamarck, Weijing Sun, Sangwon Bae, Afsaneh Doryab

J Med Internet Res 2017 (Dec 19); 19(12):e420 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9046):

(note that this is only a small subset of citations)

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  6. Salsman JM, Pustejovsky JE, Schueller SM, Hernandez R, Berendsen M, McLouth LES, Moskowitz JT. Psychosocial interventions for cancer survivors: A meta-analysis of effects on positive affect. Journal of Cancer Survivorship 2019;13(6):943
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  7. Kim Y, Seo J, An S, Sinn DH, Hwang JH. Efficacy and Safety of an mHealth App and Wearable Device in Physical Performance for Patients With Hepatocellular Carcinoma: Development and Usability Study. JMIR mHealth and uHealth 2020;8(3):e14435
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  8. Innominato P, Komarzynski S, Karaboué A, Ulusakarya A, Bouchahda M, Haydar M, Bossevot-Desmaris R, Mocquery M, Plessis V, Lévi F. Home-Based e-Health Platform for Multidimensional Telemonitoring of Symptoms, Body Weight, Sleep, and Circadian Activity: Relevance for Chronomodulated Administration of Irinotecan, Fluorouracil-Leucovorin, and Oxaliplatin at Home—Results From a Pilot Study. JCO Clinical Cancer Informatics 2018;(2):1
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  9. Jim HSL, Hoogland AI, Brownstein NC, Barata A, Dicker AP, Knoop H, Gonzalez BD, Perkins R, Rollison D, Gilbert SM, Nanda R, Berglund A, Mitchell R, Johnstone PAS. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182
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  10. Innominato PF, Komarzynski S, Palesh OG, Dallmann R, Bjarnason GA, Giacchetti S, Ulusakarya A, Bouchahda M, Haydar M, Ballesta A, Karaboué A, Wreglesworth NI, Spiegel D, Lévi FA. Circadian rest‐activity rhythm as an objective biomarker of patient‐reported outcomes in patients with advanced cancer. Cancer Medicine 2018;7(9):4396
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  11. Harris J, Cheevers K, Armes J. The emerging role of digital health in monitoring and supporting people living with cancer and the consequences of its treatments. Current Opinion in Supportive & Palliative Care 2018;12(3):268
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  12. Low CA, Danko M, Durica KC, Kunta AR, Mulukutla R, Ren Y, Bartlett DL, Bovbjerg DH, Dey AK, Jakicic JM. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e17292
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  13. . Harnessing consumer smartphone and wearable sensors for clinical cancer research. npj Digital Medicine 2020;3(1)
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  14. Beauchamp UL, Pappot H, Holländer-Mieritz C. The Use of Wearables in Clinical Trials During Cancer Treatment: Systematic Review. JMIR mHealth and uHealth 2020;8(11):e22006
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  15. Moreno-Gutierrez S, Postigo-Martin P, Damas M, Pomares H, Banos O, Arroyo-Morales M, Cantarero-Villanueva I. ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer. IEEE Access 2021;9:16878
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  16. Cho S, Ensari I, Weng C, Kahn MG, Natarajan K. Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review. JMIR mHealth and uHealth 2021;9(3):e20738
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  17. Komarzynski S, Wreglesworth NI, Griffiths D, Pecchia L, Subbe CP, Hughes SF, Davies EH, Innominato PF. Embracing Change: Learnings From Implementing Multidimensional Digital Remote Monitoring in Oncology Patients at a District General Hospital During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):216
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  18. Cos H, Li D, Williams G, Chininis J, Dai R, Zhang J, Srivastava R, Raper L, Sanford D, Hawkins W, Lu C, Hammill CW. Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study. Journal of Medical Internet Research 2021;23(3):e23595
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  19. Onyeaka HK, Zambrano J, Longley RM, Celano CM, Naslund JA, Amonoo HL. Use of digital health tools for health promotion in cancer survivors. Psycho-Oncology 2021;30(8):1302
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  20. Low CA, Li M, Vega J, Durica KC, Ferreira D, Tam V, Hogg M, Zeh III H, Doryab A, Dey AK. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. JMIR Cancer 2021;7(2):e27975
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  21. Innominato PF, Komarzynski S, Dallmann R, Wreglesworth NI, Bouchahda M, Karaboué A, Ulusakarya A, Subbe CP, Spiegel D, Lévi FA. Impact of assessment frequency of patient-reported outcomes: an observational study using an eHealth platform in cancer patients. Supportive Care in Cancer 2021;29(11):6167
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  22. Holländer-Mieritz C, Vogelius IR, Kristensen CA, Green A, Rindum JL, Pappot H. Using Biometric Sensor Data to Monitor Cancer Patients During Radiotherapy: Protocol for the OncoWatch Feasibility Study. JMIR Research Protocols 2021;10(5):e26096
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  23. Mullick T, Radovic A, Shaaban S, Doryab A. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study. JMIR Formative Research 2022;6(6):e35807
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  24. Dzimitrowicz HE, Blakely LJ, Jones LW, LeBlanc TW. Bridging New Technology Into Clinical Practice With Mobile Apps, Electronic Patient-Reported Outcomes, and Wearables. American Society of Clinical Oncology Educational Book 2022;(42):94
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  25. Pavic M, Klaas V, Theile G, Kraft J, Tröster G, Guckenberger M. Feasibility and Usability Aspects of Continuous Remote Monitoring of Health Status in Palliative Cancer Patients Using Wearables. Oncology 2020;98(6):386
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  26. Keum J, Chung MJ, Kim Y, Ko H, Sung MJ, Jo JH, Park JY, Bang S, Park SW, Song SY, Lee HS. Usefulness of Smartphone Apps for Improving Nutritional Status of Pancreatic Cancer Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e21088
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  27. Fahed M, McManus K, Vahia IV, Offodile AC. Digital Phenotyping of Behavioral Symptoms as the Next Frontier for Personalized and Proactive Cancer Care. JCO Clinical Cancer Informatics 2022;(6)
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  28. Gibb M, Winter H, Komarzynski S, Wreglesworth NI, Innominato PF. Holistic Needs Assessment of Cancer Survivors—Supporting the Process Through Digital Monitoring of Circadian Physiology. Integrative Cancer Therapies 2022;21:153473542211235
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  29. Knauer J, Terhorst Y, Philippi P, Kallinger S, Eiler S, Kilian R, Waldmann T, Moshagen M, Bader M, Baumeister H. Effectiveness and cost-effectiveness of a web-based routine assessment with integrated recommendations for action for depression and anxiety (RehaCAT+): protocol for a cluster randomised controlled trial for patients with elevated depressive symptoms in rehabilitation facilities. BMJ Open 2022;12(6):e061259
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  30. Kanzawa-Lee GA, Ploutz-Snyder RJ, Larson JL, Krauss JC, Resnicow K, Lavoie Smith EM. Efficacy of the Motivational Interviewing–Walk Intervention for Chemotherapy-Induced Peripheral Neuropathy and Quality of Life During Oxaliplatin Treatment. Cancer Nursing 2022;45(2):E531
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  31. Steen-Olsen EB, Pappot H, Green A, Langberg H, Holländer-Mieritz C. Feasibility of Monitoring Patients Who Have Cancer With a Smart T-shirt: Protocol for the OncoSmartShirt Study. JMIR Research Protocols 2022;11(10):e37626
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  32. Jacobsen M, Rottmann P, Dembek TA, Gerke AL, Gholamipoor R, Blum C, Hartmann N, Verket M, Kaivers J, Jäger P, Baermann B, Heinemann L, Marx N, Müller-Wieland D, Kollmann M, Seyfarth M, Kobbe G. Feasibility of Wearable-Based Remote Monitoring in Patients During Intensive Treatment for Aggressive Hematologic Malignancies. JCO Clinical Cancer Informatics 2022;(6)
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  33. Huang Y, Upadhyay U, Dhar E, Kuo L, Syed-Abdul S. A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population. Cancers 2022;14(18):4437
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  34. Vega J, Li M, Aguillera K, Goel N, Joshi E, Khandekar K, Durica KC, Kunta AR, Low CA. Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health 2021;3
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  35. Huhn S, Axt M, Gunga H, Maggioni MA, Munga S, Obor D, Sié A, Boudo V, Bunker A, Sauerborn R, Bärnighausen T, Barteit S. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth and uHealth 2022;10(1):e34384
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  36. Frodi DM, Manea V, Diederichsen SZ, Svendsen JH, Wac K, Andersen TO. Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study. Journal of Personalized Medicine 2022;12(6):942
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  37. Aiyegbusi OL, Roydhouse J, Rivera SC, Kamudoni P, Schache P, Wilson R, Stephens R, Calvert M. Key considerations to reduce or address respondent burden in patient-reported outcome (PRO) data collection. Nature Communications 2022;13(1)
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  38. Chan A, Chan D, Lee H, Ng CC, Yeo AHL. Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review. International Journal of Medical Informatics 2022;160:104696
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  39. Jeong H, Jeong YW, Park Y, Kim K, Park J, Kang DR. Applications of deep learning methods in digital biomarker research using noninvasive sensing data. DIGITAL HEALTH 2022;8:205520762211366
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  40. Nestor BA, Chimoff J, Koike C, Weitzman ER, Riley BL, Uhl K, Kossowsky J. Adolescent and Parent Perspectives on Digital Phenotyping in Youths With Chronic Pain: Cross-Sectional Mixed Methods Survey Study. Journal of Medical Internet Research 2024;26:e47781
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  41. Stuijt DG, Radanovic I, Kos M, Schoones JW, Stuurman FE, Exadaktylos V, Bins AD, Bosch JJ, van Oijen MG. Smartphone-Based Passive Sensing in Monitoring Patients With Cancer: A Systematic Review. JCO Clinical Cancer Informatics 2023;(7)
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  42. Aiyegbusi OL, Cruz Rivera S, Roydhouse J, Kamudoni P, Alder Y, Anderson N, Baldwin RM, Bhatnagar V, Black J, Bottomley A, Brundage M, Cella D, Collis P, Davies E, Denniston AK, Efficace F, Gardner A, Gnanasakthy A, Golub RM, Hughes SE, Jeyes F, Kern S, King-Kallimanis BL, Martin A, McMullan C, Mercieca-Bebber R, Monteiro J, Peipert JD, Quijano-Campos JC, Quinten C, Rantell KR, Regnault A, Sasseville M, Schougaard LMV, Sherafat-Kazemzadeh R, Snyder C, Stover AM, Verdi R, Wilson R, Calvert MJ. Recommendations to address respondent burden associated with patient-reported outcome assessment. Nature Medicine 2024;30(3):650
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9046):

  1. Ginsburg GS, Haga SB. Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics. 2019. :21
    CrossRef
  2. Dadhania S, Williams M. Handbook of Artificial Intelligence in Healthcare. 2022. Chapter 5:109
    CrossRef
  3. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. 2023. Chapter 24:413
    CrossRef
  4. Harrer M, Terhorst Y, Baumeister H, Ebert DD. Digitale Gesundheitsinterventionen. 2023. Chapter 27:465
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