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

Wearables and MHealth Reviews (310) Wearable Devices and Sensors (1133) Innovations and Technology in Cancer Care (531) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) mHealth for Data Collection and Research (1196) Artificial Intelligence (2129) Machine Learning (2076)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59587, first published .
Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care

Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care

Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care

Authors of this article:

Bengie L Ortiz1 Author Orcid Image ;   Vibhuti Gupta2 Author Orcid Image ;   Rajnish Kumar1 Author Orcid Image ;   Aditya Jalin1 Author Orcid Image ;   Xiao Cao1 Author Orcid Image ;   Charles Ziegenbein1, 3 Author Orcid Image ;   Ashutosh Singhal2 Author Orcid Image ;   Muneesh Tewari4, 5, 6, 7, 8 Author Orcid Image ;   Sung Won Choi1, 5 Author Orcid Image
Article Authors Cited by (33) Tweetations (1) Metrics

Journals

  1. Elaibi H, Mutlag F, Halvaci E, Aygun A, Sen F. Review: Comparison of traditional and modern diagnostic methods in breast cancer. Measurement 2025;242:116258 View
  2. Ferrara E. Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges. Sensors 2024;24(15):5045 View
  3. Otu G, Awodele O, Adeniji S, Mafua H, Olayanju K, Adedayo A, Usman S, Adeyinka S, Ramalan A, Masari M. PREDICTION ACCURACY ANALYSIS OF MACHINE LEARNING CLASSIFIERS ON STUDENT COURSE ASSESSMENT METHODS. FUDMA JOURNAL OF SCIENCES 2024;8(6):288 View
  4. Ahmad R, Khan W, Khan M, Cheung P. Emerging rapid detection methods for the monitoring of cardiovascular diseases: Current trends and future perspectives. Materials Today Bio 2025;32:101663 View
  5. Baizer L, Bures R, Nadkarni G, Reyes-Guzman C, Ladwa S, Cade B, Westover M, Durmer J, de Zambotti M, Desai M, Parekh A, Si B, Fernandez-Mendoza J, Minor K, Mazzotti D, Lee S, Katabi D, Kiss O, Spira A, Morris J, Seixas A, Kioumourtzoglou M, Bridges J, Brown M, Hale L, Purcell S. Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary. SLEEP 2025;48(6) View
  6. Alqahtani N, Alnemr T, Farag H, Ismail R, Habib H. Machine learning insights into the antioxidant and biomolecular shielding effects of polyphenol-rich 18 date palm pit extracts. Food Chemistry: X 2025;27:102480 View
  7. Liu H, Tripathy R. Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing: Towards Data-Driven Decision-Making and Precise Medicine. Diagnostics 2025;15(8):1051 View
  8. García Abejas A, Geraldes Santos D, Leite Costa F, Cordero Botejara A, Mota-Filipe H, Salvador Vergés À. Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review. Interactive Journal of Medical Research 2025;14:e73517 View
  9. Alqahtani N, Alnemr T, Ismail R, Habib H. Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage. Journal of Agriculture and Food Research 2025;22:102019 View
  10. Akkaş T, Reshadsedghi M, Şen M, Kılıç V, Horzum N. The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives. Advanced Materials 2025;37(34) View
  11. Jafari M, Tzirtzipi C, Aghdam A, Chahartagh N, Dominguez B. AI-assisted prediction and optimization of micropollutants removal with forward osmosis membranes. Journal of Membrane Science 2025;733:124346 View
  12. Pedroso A, Khera R. Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring. npj Cardiovascular Health 2025;2(1) View
  13. Li H, Zecca M, Huang J. Evaluating the Utility of Wearable Sensors for the Early Diagnosis of Parkinson Disease: Systematic Review. Journal of Medical Internet Research 2025;27:e69422 View
  14. Bahadori S, Buckle P, Soukup Ascensao T, Ghafur S, Kierkegaard P. Evolving Digital Health Technologies: Aligning With and Enhancing the National Institute for Health and Care Excellence Evidence Standards Framework. JMIR mHealth and uHealth 2025;13:e67435 View
  15. Domagalski M, Lu Y, Pilozzi A, Williamson A, Chilappagari P, Luker E, Shelley C, Dabic A, Keller M, Rodriguez R, Lawlor S, Thangudu R. Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge. Journal of the American Medical Informatics Association 2025;32(10):1609 View
  16. Turlip R, Chauhan D, Ahmad H, Dagli M, Hu B, Chung R, Ghenbot Y, Gu B, Patel N, Kim R, Kincaid J, Verma A, Yoon J. Smartphone-based activity research: methodology and key insights. Frontiers in Surgery 2025;12 View
  17. Huan X, Hu L, Li H, Yu F, Shao H. Machine learning in antimicrobial therapy for critically ill patients: optimizing early empirical regimens, individualized dosing, and de-escalation strategies. International Journal of Antimicrobial Agents 2025;66(6):107632 View
  18. Feng Z, Giblin M. DeepFusionNet for realtime classification in iotbased crossmedia art and design using multimodal deep learning. Scientific Reports 2025;15(1) View
  19. Gong Z, Haierla S, Shi J, Liu X. Construction of a risk prediction model for postoperative atrial fibrillation in lung cancer patients based on multi-dimensional feature fusion and ensemble learning. Frontiers in Cardiovascular Medicine 2025;12 View
  20. Abuzuhri M, Najjar S, Awad M, Cruz-Correia R, Falna H, Aktas E, Abu Al Rob B, Oliveira M, Mughnamin I, Esteves S, Awlad Mohammad Y, Vieira-Marques P. Machine learning in colorectal cancer prediction and diagnosis: a systematic review of models' performance. International Journal of Medical Informatics 2026;206:106170 View
  21. Xi L, Li C, Anari M, Rezaee K. Integrating wearable health devices with AI and edge computing for personalized rehabilitation. Journal of Cloud Computing 2025;14(1) View
  22. Gu B, Kim H, Kim H, Yoo J. Advancements in Wearable Sensor Technologies for Health Monitoring: A Systematic Review of Clinical Applications, Rehabilitation, and Disease Risk Assessment (Preprint). JMIR mHealth and uHealth 2025 View
  23. Wang T, Chen J, Niu H, Liao D, Yang P, Du Q. Research on Remaining Useful Life Prediction of PEMWE Stack Based on the LSTM-iTransformer Model. ACS Omega 2025;10(47):57790 View
  24. Alwahaibi N, Alwahaibi M. Liver biopsy in the modern era: from traditional techniques to artificial intelligence and multi-omics integration. Frontiers in Medicine 2025;12 View

Books/Policy Documents

  1. Devi B, H N L, Teresa M, Suseela G, Balaji P. Predictive Algorithms for Rehabilitation and Assistive Systems. View
  2. Yasmin F, Hasan M, Xue Y. Feature Fusion for Next-Generation AI. View

Conference Proceedings

  1. Ziegenbein C, Ortiz B, Gupta V, Choi S. 2024 IEEE International Conference on Big Data (BigData). Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers View
  2. Dewi D, Choiruddin A, Agung Suprabawati D. 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). Exploring Breast Cancer Risk Factor Through Machine Learning Algorithm: Random Forest Classification View
  3. G C, C S, S P. 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). Estimating the Box Office Success through Machine learning and Sentiment Analysis of Movie Feedback View
  4. Gahtan B, Funk S, Ketko I, Kodesh E, Kuflik T, Bronstein A. 2025 IEEE 13th International Conference on Healthcare Informatics (ICHI). WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring View
  5. Kumar V, Devi P, Babu T, Nader A, Mohammed A, Saravanakumar R. 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA). AI-Powered Recruitment Marketing Enhancing Candidate Experience and Employer Branding View
  6. Jindle Y, Bhardwaj J, Mittal S, Awasthi S, Dwivedi S. 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS). Real Time AI Adaptation in Wearable Health Monitoring Leveraging Generative Models for Intelligent Feedback and Anomaly Detection View
  7. Wang J, Gu Y, Zhou S, Liu Z. 2025 International Joint Conference on Neural Networks (IJCNN). An Effective GANs-Based Method for High-Information-Value Multimodal Wearable Sensor Data Synthesis View