Late Breaking Abstract - Development and validation of machine learning model for automatically predicting acute pulmonary embolism in- hospital patients

被引:0
|
作者
Park, Ji-Eun [1 ]
Hahn, Sangchul [2 ]
Kim, Young Sam [3 ]
Lee, Hyun Ah [1 ]
Park, Ji Won [1 ]
Chung, Kyung Soo [3 ]
机构
[1] Ajou Univ, Dept Pulm & Crit Care Med, Sch Med, Suwon, South Korea
[2] AITRICS Inc, Seoul, South Korea
[3] Yonsei Univ, Inst Chest Dis, Severance Hosp, Div Pulm,Dept Internal Med,Coll Med, Seoul, South Korea
关键词
D O I
10.1183/13993003.congress-2023.PA2255
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
引用
收藏
页数:3
相关论文
共 50 条
  • [21] Massive External Validation of a Machine Learning Algorithm to Predict Pulmonary Embolism in Hospitalized Patients
    Calvert, J.
    Shen, J.
    Chetty, S. Casie
    Shokouhi, S.
    Mao, Q.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2022, 205
  • [22] Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study
    Nowinka, Zuzanna
    Alagha, M. Abdulhadi
    Mahmoud, Khadija
    Jones, Gareth G.
    [J]. JMIR FORMATIVE RESEARCH, 2022, 6 (09)
  • [23] Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients
    Shen, Jieru
    Chetty, Satish Casie
    Shokouhi, Sepideh
    Maharjan, Jenish
    Chuba, Yevheniy
    Calvert, Jacob
    Mao, Qingqing
    [J]. THROMBOSIS RESEARCH, 2022, 216 : 14 - 21
  • [24] Development and validation of machine learning model for predicting treatment responders in patients with primary biliary cholangitis
    Kimura, Naruhiro
    Takahashi, Kazuya
    Setsu, Toru
    Horibata, Yusuke
    Kaneko, Yusuke
    Miyazaki, Haruka
    Ogawa, Kohei
    Kawata, Yuzo
    Sakai, Norihiro
    Watanabe, Yusuke
    Abe, Hiroyuki
    Kamimura, Hiroteru
    Sakamaki, Akira
    Yokoo, Takeshi
    Kamimura, Kenya
    Tsuchiya, Atsunori
    Terai, Shuji
    [J]. HEPATOLOGY RESEARCH, 2024, 54 (01) : 67 - 77
  • [25] Late Breaking Abstract - Incidence, risk factors and thrombotic load of pulmonary embolism in patients hospitalized with COVID-19
    Bekki, Amina
    Garcia-Ortega, Alberto
    Oscullo, Grace
    Calvillo, Pilar
    Mendez, Raul
    Daniel Gomez-Olivas, Jose
    Fonfria, Carles
    Trilles-Olasco, Laura
    Zaldivar, Enrique
    Ferrando, Ana
    Anguera, Gabriel
    Briones-Gomez, Andres
    Pablo Reig-Mezquida, Juan
    Feced, Laura
    Gonzalez-Jimenez, Paula
    Reyes, Soledad
    Munoz-Nunez, Carlos F.
    Carreres, Ainhoa
    Gil, Ricardo
    Morata, Carmen
    Lopez-Reyes, Raquel
    Marti-Bonmati, Luis
    Menendez, Rosario
    Angel Martinez-Garcia, Miguel
    [J]. EUROPEAN RESPIRATORY JOURNAL, 2021, 58
  • [26] Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease
    Li, Mingxia
    Zhuang, Qinghe
    Zhao, Shuangping
    Huang, Li
    Hu, Chenghuan
    Zhang, Buyao
    Hou, Qinlan
    [J]. RENAL FAILURE, 2022, 44 (01) : 1886 - 1896
  • [27] Derivation and Validation of a Prognostic Model for Mortality in Chinese Patients with Acute Pulmonary Embolism
    Zhang, Jiarui
    Ali, Adila
    Liu, Yu
    Peng, Lige
    Pu, Jiaqi
    Yi, Qun
    Zhou, Haixia
    [J]. CLINICAL AND APPLIED THROMBOSIS-HEMOSTASIS, 2022, 28
  • [28] Derivation and Validation of a Prognostic Model for Mortality in Chinese Patients with Acute Pulmonary Embolism
    Zhang, Jiarui
    Ali, Adila
    Liu, Yu
    Peng, Lige
    Pu, Jiaqi
    Yi, Qun
    Zhou, Haixia
    [J]. CLINICAL AND APPLIED THROMBOSIS-HEMOSTASIS, 2022, 28
  • [29] Derivation and Validation of a Prognostic Model for Mortality in Chinese Patients with Acute Pulmonary Embolism
    Zhang, Jiarui
    Ali, Adila
    Liu, Yu
    Peng, Lige
    Pu, Jiaqi
    Yi, Qun
    Zhou, Haixia
    [J]. CLINICAL AND APPLIED THROMBOSIS-HEMOSTASIS, 2022, 28
  • [30] A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China
    Su, Hang
    Shou, Yeqi
    Fu, Yujie
    Zhao, Dong
    Heidari, Ali Asghar
    Han, Zhengyuan
    Wu, Peiliang
    Chen, Huiling
    Chen, Yanfan
    [J]. FRONTIERS IN NEUROINFORMATICS, 2022, 16