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
  • [1] Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data
    Jujjavarapu, Chethan
    Suri, Pradeep
    Pejaver, Vikas
    Friedly, Janna
    Gold, Laura S.
    Meier, Eric
    Cohen, Trevor
    Mooney, Sean D.
    Heagerty, Patrick J.
    Jarvik, Jeffrey G.
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 23 (01)
  • [2] Deep Learning Multimodal for Unstructured and Semi-Structured Textual Documents Classification
    Katamesh, Nany
    Abu-Elnasr, Osama
    Elmougy, Samir
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 68 (01): : 589 - 606
  • [3] Combining structured and unstructured data for predictive models: a deep learning approach
    Zhang, Dongdong
    Yin, Changchang
    Zeng, Jucheng
    Yuan, Xiaohui
    Zhang, Ping
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [4] Combining structured and unstructured data for predictive models: a deep learning approach
    Dongdong Zhang
    Changchang Yin
    Jucheng Zeng
    Xiaohui Yuan
    Ping Zhang
    BMC Medical Informatics and Decision Making, 20
  • [5] A Hybrid Deep Learning Model for Predicting Molecular Subtypes of Human Breast Cancer Using Multimodal Data
    Liu, T.
    Huang, J.
    Liao, T.
    Pu, R.
    Liu, S.
    Peng, Y.
    IRBM, 2022, 43 (01) : 62 - 74
  • [6] Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text
    Arnaud, Emilien
    Elbattah, Mahmoud
    Gignon, Maxime
    Dequen, Gilles
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 4836 - 4841
  • [7] Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients
    Mahajan, Satish M.
    Ghani, Rayid
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 238 - 242
  • [8] Effective deep learning based multimodal sentiment analysis from unstructured big data
    Jwalanaiah, Swasthika Jain Thandaga
    Jacob, Israel Jeena
    Mandava, Ajay Kumar
    EXPERT SYSTEMS, 2023, 40 (01)
  • [9] Multimodal Deep Learning-Based Prognostication in Glioma Patients: A Systematic Review
    Alleman, Kaitlyn
    Knecht, Erik
    Huang, Jonathan
    Zhang, Lu
    Lam, Sandi
    DeCuypere, Michael
    CANCERS, 2023, 15 (02)
  • [10] Applying interpretable deep learning models to identify chronic cough patients using EHR data
    Luo, Xiao
    Gandhi, Priyanka
    Zhang, Zuoyi
    Shao, Wei
    Han, Zhi
    Chandrasekaran, Vasu
    Turzhitsky, Vladimir
    Bali, Vishal
    Roberts, Anna R.
    Metzger, Megan
    Baker, Jarod
    La Rosa, Carmen
    Weaver, Jessica
    Dexter, Paul
    Huang, Kun
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 210