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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Machine Learning (1501) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Chemotherapy and Side Effects Management (60) Innovations in Cancer Diagnostic and Decision Support (58) mHealth in a Clinical Setting (624) Electronic Health Records (1068)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27024, first published .
A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction

A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction

A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction

Authors of this article:

Abu Saleh Mohammad Mosa1, 2, 3, 4 Author Orcid Image ;   Md Kamruz Zaman Rana1, 2 Author Orcid Image ;   Humayera Islam2, 4, 5 Author Orcid Image ;   A K M Mosharraf Hossain6, 7 Author Orcid Image ;   Illhoi Yoo1 Author Orcid Image
Article Authors Cited by (8) Tweetations (9) Metrics

Journals

  1. Nelson W, Vaidya V, Scott J, Wang B, Lambert H, Holmes B, Bailey W. Antiemetic use and chemotherapy induced nausea and vomitingrelated hospitalization costs after highly or moderately emetogenic chemotherapy. Future Oncology 2023;19(1):29 View
  2. Navari R, Nelson W, Shoaib S, Singh R, Zhang W, Bailey W. Real-World Treatment Outcomes, Healthcare Resource Use, and Costs Associated with Antiemetics Among Cancer Patients on Cisplatin-Based Chemotherapy. Advances in Therapy 2023;40(7):3217 View
  3. Yuan X. Chinese expert consensus on prevention and treatment of delayed nausea and vomiting (2022 Edition). Oncology and Translational Medicine 2023;9(4):147 View
  4. Zeinali N, Youn N, Albashayreh A, Fan W, Gilbertson White S. Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review. JMIR Cancer 2024;10:e52322 View
  5. Jalal R, Shahrzad G, Roya A, Masoumeh Z. The effect of self-care education with smart phone applications on the severity of nausea and vomiting after stem cell transplantation in leukemia patients. Hematology, Transfusion and Cell Therapy 2024 View
  6. Sun X, Ling H, Zhang L, Chen R, Zhong A, Feng L, Yu R, Chen Y, Liu J. Development and validation of a risk prediction model and prediction tools for post-thrombotic syndrome in patients with lower limb deep vein thrombosis. International Journal of Medical Informatics 2024;187:105468 View
  7. Dimitsaki S, Natsiavas P, Jaulent M. Applying Artificial Intelligence in Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review (Preprint). Journal of Medical Internet Research 2024 View
  8. Tabataba Vakili S, Haywood D, Kirk D, Abdou A, Gopalakrishnan R, Sadeghi S, Guedes H, Tan C, Thamm C, Bernard R, Wong H, Kuhn E, Kwan J, Lee S, Hart N, Paterson C, Chopra D, Drury A, Zhang E, Raeisi Dehkordi S, Ashbury F, Kotronoulas G, Chow E, Jefford M, Chan R, Fazelzad R, Raman S, Alkhaifi M. Application of Artificial Intelligence in Symptom Monitoring in Adult Cancer Survivorship: A Systematic Review. JCO Clinical Cancer Informatics 2024;(8) View