Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study.

Journal: JMIR aging
Published Date: Jul 8, 2024

Abstract

BACKGROUND: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes.

Authors

  • Xinyue Hu
    Beijing Eaglevision Technology Development, Beijing, China.
  • Zenan Sun
    McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Yi Nian
    McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Yichen Wang
    Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, 230601 Hefei, China; Key Laboratory of Opto-Electronic Information Acquisition and Manipulation of Ministry of Education, Anhui University, 230601 Hefei, China.
  • Yifang Dang
    McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Fang Li
    Department of General Surgery, Chongqing General Hospital, Chongqing, China.
  • Jingna Feng
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, United States.
  • Evan Yu
    School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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