Published on in Vol 8 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16678, first published .
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Journals

  1. Wojtusiak J, Asadzadehzanjani N, Levy C, Alemi F, Williams A. Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Tarekegn A, Giacobini M, Michalak K. A review of methods for imbalanced multi-label classification. Pattern Recognition 2021;118:107965 View
  3. Urbano D, Restivo M, Barbosa M, Fernandes Â, Abreu P, Chousal M, Coelho T. Handgrip Strength Time Profile and Frailty: An Exploratory Study. Applied Sciences 2021;11(11):5134 View
  4. Akbari G, Nikkhoo M, Wang L, Chen C, Han D, Lin Y, Chen H, Cheng C. Frailty Level Classification of the Community Elderly Using Microsoft Kinect-Based Skeleton Pose: A Machine Learning Approach. Sensors 2021;21(12):4017 View