PROGNOSTIC IMPLICATIONS OF MACHINE LEARNING-DERIVED ECHOCARDIOGRAPHIC PHENOTYPES IN ASYMPTOMATIC COMMUNITY HYPERTENSIVE POPULATIONS

被引:0
|
作者
Cai, Anping [1 ]
Zhou, Dan [1 ]
Zhou, Yingling [1 ]
Tang, Songtao [1 ]
Feng, Yingqing [1 ]
Nie, Zhiqiang [1 ]
机构
[1] Guangdong Prov Peoples Hosp, Guangzhou, Peoples R China
关键词
D O I
暂无
中图分类号
R6 [外科学];
学科分类号
1002 ; 100210 ;
摘要
PS-BPC01-5
引用
收藏
页码:E292 / E292
页数:1
相关论文
共 50 条
  • [1] Prognostic implications of machine learning-derived echocardiographic phenotypes in community hypertensive patients
    Cai, Anping
    Dan, Zhou
    Zhou, Yingling
    Feng, Yinqing
    Nie, Zhiqiang
    CLINICAL AND EXPERIMENTAL HYPERTENSION, 2023, 45 (01)
  • [2] Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals
    Kobayashi, Masatake
    Huttin, Olivier
    Magnusson, Martin
    Ferreira, Joao Pedro
    Bozec, Erwan
    Huby, Anne-Cecile
    Preud'homme, Gregoire
    Duarte, Kevin
    Lamiral, Zohra
    Dalleau, Kevin
    Bresso, Emmanuel
    Smail-Tabbone, Malika
    Devignes, Marie-Dominique
    Nilsson, Peter M.
    Leosdottir, Margret
    Boivin, Jean-Marc
    Zannad, Faiez
    Rossignol, Patrick
    Girerd, Nicolas
    JACC-CARDIOVASCULAR IMAGING, 2022, 15 (02) : 193 - 208
  • [3] Machine learning-derived echocardiographic phenotypes predict outcome in tricuspid annuloplasty
    Tse, Y. K.
    Li, H. L.
    Ren, Q. W.
    Wu, M. Z.
    Yiu, K. H.
    EUROPEAN JOURNAL OF HEART FAILURE, 2022, 24 : 218 - 218
  • [4] A Novel Machine Learning-Derived Molecular Classification Scheme with Prognostic Significance
    Kewan, Tariq
    Durmaz, Arda
    Awada, Hassan
    Gurnari, Carmelo
    Bahaj, Waled
    Pagliuca, Simona
    Terkawi, Laila
    Ahmed, Ramsha
    Balasubramanian, Suresh Kumar
    Patel, Bhumika J.
    Carraway, Hetty E.
    Visconte, Valeria
    Haferlach, Torsten
    Maciejewski, Jaroslaw P.
    BLOOD, 2021, 138 : 3666 - +
  • [5] Machine learning-derived asthma phenotypes in a Swedish adult population- representative sample
    Bashir, Muwada
    Lisik, Daniil
    Ermis, Saliha Selin Ozuygur
    Basna, Rani
    Abohalaka, Reshed
    Ercan, Selin
    Backman, Helena
    Pullerits, Teet
    Mincheva, Roxana
    Wennergren, Goran
    Radinger, Madeleine
    Lotvall, Jan
    Ekerljung, Linda
    Kankaanranta, Hannu
    Nwaru, Bright I.
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [6] Differential association between educational levels and machine learning-derived asthma phenotypes in adults
    Bashir, Muwada
    Basna, Rani
    Wennergren, Goran
    Radinger, Madeleine
    Backman, Helena
    Goksor, Emma
    Lotvall, Jan
    Ekerljung, Linda
    Kankaanranta, Hannu
    Nwaru, Bright, I
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [7] A MULTIVARIATE MACHINE LEARNING-DERIVED MODEL FOR DETECTION OF HEMORRHAGE
    Rashedi, Navid
    Sun, Yifei
    Vaze, Vikrant
    Elliott, Jonathan
    Hamlin, Alexandra
    Klein, Samuel
    Anderson, Justin
    Minichiello, Joseph
    Halter, Ryan
    Paradis, Norman
    CRITICAL CARE MEDICINE, 2020, 48
  • [8] Machine learning-derived identification of prognostic signature for improving prognosis and drug response in patients with ovarian cancer
    Huan, Qing
    Cheng, Shuchao
    Ma, Hui-Fen
    Zhao, Min
    Chen, Yu
    Yuan, Xiaolu
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2024, 28 (01)
  • [9] Advancing Multiscale Molecular Modeling with Machine Learning-Derived Electrostatics
    Semelak, Jonathan A.
    Pickering, Ignacio
    Huddleston, Kate
    Olmos, Justo
    Grassano, Juan Santiago
    Clemente, Camila Mara
    Drusin, Salvador I.
    Marti, Marcelo
    Lebrero, Mariano Camilo Gonzalez
    Roitberg, Adrian E.
    Estrin, Dario A.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2025,
  • [10] A machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosis
    Schrutka, L.
    Anner, P.
    Agibetov, A.
    Seirer, B.
    Rettl, R.
    Duca, F.
    Dalos, D.
    Dachs, T.
    Binder, C.
    Badr-Eslam, R.
    Kastner, J.
    Beitzke, D.
    Loewe, C.
    Hengstenberg, C.
    Laufer, G.
    Stix, G.
    Dorffner, G.
    Bonderman, D.
    WIENER KLINISCHE WOCHENSCHRIFT, 2021, 133 (SUPPL 3) : S103 - S104