Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models

被引:0
|
作者
Cathy Shyr
Yan Hu
Lisa Bastarache
Alex Cheng
Rizwan Hamid
Paul Harris
Hua Xu
机构
[1] Vanderbilt University Medical Center,Department of Biomedical Informatics
[2] University of Texas Health Science Center at Houston,School of Biomedical Informatics
[3] Vanderbilt University Medical Center,Division of Medical Genetics and Genomic Medicine
[4] Vanderbilt University Medical Center,Department of Biostatistics
[5] Vanderbilt University Medical Center,Department of Biomedical Engineering
[6] Yale School of Medicine,Section of Biomedical Informatics and Data Science
关键词
Natural language processing; ChatGPT; Rare disease; Artificial intelligence; Prompt learning; Large language model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:438 / 461
页数:23
相关论文
共 50 条
  • [1] Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models
    Shyr, Cathy
    Hu, Yan
    Bastarache, Lisa
    Cheng, Alex
    Hamid, Rizwan
    Harris, Paul
    Xu, Hua
    [J]. JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, 2024, 8 (02) : 438 - 461
  • [2] Extracting Training Data from Large Language Models
    Carlini, Nicholas
    Tramer, Florian
    Wallace, Eric
    Jagielski, Matthew
    Herbert-Voss, Ariel
    Lee, Katherine
    Roberts, Adam
    Brown, Tom
    Song, Dawn
    Erlingsson, Ulfar
    Oprea, Alina
    Raffel, Colin
    [J]. PROCEEDINGS OF THE 30TH USENIX SECURITY SYMPOSIUM, 2021, : 2633 - 2650
  • [3] PROSPER: Extracting Protocol Specifications Using Large Language Models
    Sharma, Prakhar
    Yegneswaran, Vinod
    [J]. PROCEEDINGS OF THE 22ND ACM WORKSHOP ON HOT TOPICS IN NETWORKS, HOTNETS 2023, 2023, : 41 - 47
  • [4] Extracting Domain Models from Textual Requirements in the Era of Large Language Models
    Arulmohan, Sathurshan
    Meurs, Marie-Jean
    Mosser, Sebastien
    [J]. 2023 ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION, MODELS-C, 2023, : 580 - 587
  • [5] Identifying Rare Events in Rare Diseases
    Attiyeh, Edward F.
    Maris, John M.
    [J]. CLINICAL CANCER RESEARCH, 2015, 21 (08) : 1782 - 1785
  • [6] Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
    Patel, Het
    Reiman, Umair
    Iqbal, Farkhund
    [J]. 2024 16TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTION, HSI 2024, 2024,
  • [7] Identifying symptom etiologies using syntactic patterns and large language models
    Taub-Tabib, Hillel
    Shamay, Yosi
    Shlain, Micah
    Pinhasov, Menny
    Polak, Mark
    Tiktinsky, Aryeh
    Rahamimov, Sigal
    Bareket, Dan
    Eyal, Ben
    Kassis, Moriya
    Goldberg, Yoav
    Rosenberg, Tal Kaminski
    Vulfsons, Simon
    Ben Sasson, Maayan
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] Pain Phenotypes in Rare Musculoskeletal and Neuromuscular Diseases
    Tucker-Bartley, Anthony
    Lemme, Jordan
    Gomez-Morad, Andrea
    Shah, Nehal
    Veliu, Miranda
    Birklein, Frank
    Storz, Claudia
    Rutkove, Seward
    Kronn, David
    Boyce, Alison M.
    Kraft, Eduard
    Upadhyay, Jaymin
    [J]. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2021, 124 : 267 - 290
  • [9] Letter: The use of large language models as medical chatbots in digestive diseases
    Daungsupawong, Hinpetch
    Wiwanitkit, Viroj
    [J]. ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2024,
  • [10] Extracting Legal Norm Analysis Categories from German Law Texts with Large Language Models
    Bachinger, Sarah T.
    Feddoul, Leila
    Mauch, Marianne
    Koenig-Ries, Birgitta
    [J]. PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2024, 2024, : 481 - 493