Lipoproteins and metabolites in diagnosing and predicting Alzheimer's disease using machine learning.

Journal: Lipids in health and disease
PMID: 38773573

Abstract

BACKGROUND: Alzheimer's disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD; however, the key factors influencing AD onset remain unclear. This study aimed to analyze the key lipoprotein and metabolite factors influencing AD onset using machine-learning methods. It provides new insights for researchers and medical personnel to understand AD and provides a reference for the early diagnosis, treatment, and early prevention of AD.

Authors

  • Fenglin Wang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.
  • Aimin Wang
    School of Nursing, Qingdao University, Qingdao, Shandong, China.
  • Yiming Huang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China. hym033098@163.com.
  • Wenfeng Gao
    Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
  • Yaqi Xu
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.
  • Wenjing Zhang
    Department of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
  • Guiya Guo
    Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
  • Wangchen Song
    Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
  • Yujia Kong
    Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, China.
  • Qinghua Wang
  • Suzhen Wang
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China.
  • Fuyan Shi
    Health Statistics Teaching and Research Office, School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China. shifuyan@wfmc.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals