Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

被引：0
作者：
Chethan Jujjavarapu
Pradeep Suri
Vikas Pejaver
Janna Friedly
Laura S. Gold
Eric Meier
Trevor Cohen
Sean D. Mooney
Patrick J. Heagerty
Jeffrey G. Jarvik
机构：
[1] University of Washington,Department of Biomedical Informatics and Medical Education, School of Medicine
[2] University of Washington,Clinical Learning, Evidence and Research Center
[3] University of Washington,Department of Rehabilitation Medicine
[4] Icahn School of Medicine at Mount Sinai,Institute for Genomic Health
[5] Icahn School of Medicine at Mount Sinai,Department of Genetics and Genomic Sciences
[6] University of Washington,Department of Radiology
[7] University of Washington,Department of Biostatistics
[8] University of Washington,Center for Biomedical Statistics
[9] University of Washington,Department of Neurological Surgery
[10] University of Washington,Department of Health Services
来源：
BMC Medical Informatics and Decision Making | / 23卷
关键词：
Lower back pain; Lumbar spinal stenosis; Lumbar disc herniation; Deep learning; Generalizability; Multimodal; Machine learning; Decompression surgery; Prediction; Classification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Social Determinants of Health Documentation in Structured and Unstructured Clinical Data of Patients With Diabetes: Comparative Analysis
    Mehta, Shivani
    Lyles, Courtney R.
    Rubinsky, Anna D.
    Kemper, Kathryn E.
    Auerbach, Judith
    Sarkar, Urmimala
    Gottlieb, Laura
    Brown, William, III
    JMIR MEDICAL INFORMATICS, 2023, 11
  • [22] Editorial: Deep learning for multimodal brain data processing and analysis
    Wang, Liansheng
    Yu, Lequan
    Magnier, Baptiste
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [23] Predicting Financial Market in Big Data: Deep Learning
    Hasan, Afan
    Kalipsiz, Oya
    Akyokus, Selim
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 510 - 515
  • [24] EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
    Teles, Ariel Soares
    de Moura, Ivan Rodrigues
    Silva, Francisco
    Roberts, Angus
    Stahl, Daniel
    INFORMATION FUSION, 2025, 118
  • [25] Optimizing Autoencoders for Learning Deep Representations From Health Data
    Zhou, Chongyu
    Jia, Yao
    Motani, Mehul
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019, 23 (01) : 103 - 111
  • [26] Deep learning to convert unstructured CT pulmonary angiography reports into structured reports
    Adam Spandorfer
    Cody Branch
    Puneet Sharma
    Pooyan Sahbaee
    U. Joseph Schoepf
    James G. Ravenel
    John W. Nance
    European Radiology Experimental, 3
  • [27] Multimodal functional deep learning for multiomics data
    Zhou, Yuan
    Geng, Pei
    Zhang, Shan
    Xiao, Feifei
    Cai, Guoshuai
    Chen, Li
    Lu, Qing
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (05)
  • [28] Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data
    Borsos, Balazs
    Allaart, Corinne G.
    van Halteren, Aart
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2024, 147
  • [29] Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
    Vahidian, Saeed
    Morafah, Mahdi
    Lin, Bill
    2021 IEEE 41ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW 2021), 2021, : 27 - 34
  • [30] Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
    Bozzo, Anthony
    Tsui, James M. G.
    Bhatnagar, Sahir
    Forsberg, Jonathan
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2024, 32 (11) : e523 - e532
12345