Establishing a machine learning dementia progression prediction model with multiple integrated data.

Journal: BMC medical research methodology
PMID: 39578765

Abstract

OBJECTIVE: Dementia is a significant medical and social issue in most developed countries. Practical tools for predicting the progression of degenerative dementia are highly valuable. Machine learning (ML) methods facilitate the construction of effective models using real-world data, which may include missing values and various integrated datasets.

Authors

  • Yung-Chuan Huang
    Department of Neurology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Tzu-Chi Liu
    Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
  • Chi-Jie Lu
    Department of Industrial Management, Chien Hsin University of Science and Technology, Taiwan, ROC.

Keywords

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