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

Wearables and MHealth Reviews (273) Wearable Devices and Sensors (888) Innovations and Technology in Cancer Care (423) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth for Data Collection and Research (955) Artificial Intelligence (1371) Machine Learning (1465)

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 (1) 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