Unraveling the complexity of hypertrophic cardiomyopathy: a machine learning-based radiomics model to predict phenotype and cardiovascular events

被引:0
|
作者
Miranda, I. Ines [1 ]
Passos, M. [1 ]
Gerardo, F. [1 ]
Sarmento, M. [1 ]
Mateus, C. [1 ]
Lopes, J. [1 ]
Antunes, M. [2 ]
Ferreira, V. [2 ]
Rosa, S. [2 ]
Augusto, J. [1 ]
机构
[1] Hosp Prof Doutor Fernando Fonseca, Amadora, Portugal
[2] Hosp Santa Marta, Lisbon, Portugal
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页码:520 / 520
页数:1
相关论文
共 50 条
  • [1] Refining the diagnosis of hypertrophic cardiomyopathy with a machine learning-based radiomics model: a cardiovascular magnetic resonance study
    Miranda, I. Ines
    Passos, M.
    Gerardo, F.
    Sarmento, M.
    Mateus, C.
    Lopes, J.
    Antunes, M.
    Ferreira, V.
    Rosa, S.
    Augusto, J.
    EUROPEAN JOURNAL OF HEART FAILURE, 2024, 26 : 519 - 519
  • [2] Machine-learning based radiomics model to predict ventricular arrythmias in patients with hypertrophic cardiomyopathy
    Antunes, M. M. A. Marques
    De Miranda, I. P. M. Pereira
    Ferreira, A. F.
    Almeira, I. G. A. Gracio
    Ferreira, V. F.
    Bras, P. G. B. Garcia
    Viegas, J. V.
    Cardoso, I. C.
    Thomas, B. T.
    Branco, G. B.
    Pereira, R. P.
    Rosa, S. A. R. Aguiar
    Augusto, J. B. A. Bicho
    Ferreira, R. C. F. Cruz
    EUROPEAN JOURNAL OF HEART FAILURE, 2024, 26 : 511 - 511
  • [3] Machine Learning-based Prediction of Cardiovascular Death in Patients With Hypertrophic Cardiomyopathy
    Kochav, Stephanie M.
    Raita, Yoshihiko
    Fifer, Michael A.
    Takayama, Hiroo
    Ginns, Jonathan
    Maurer, Mathew S.
    Reilly, Muredach P.
    Hasegawa, Kohei
    Shimada, Yuichi J.
    CIRCULATION, 2019, 140
  • [4] Machine Learning in Hypertrophic Cardiomyopathy Nonlinear Model From Clinical and CMR Features Predicting Cardiovascular Events
    Zhao, Kankan
    Zhu, Yanjie
    Chen, Xiuyu
    Yang, Shujuan
    Yan, Weipeng
    Yang, Kai
    Song, Yanyan
    Cui, Chen
    Xu, Xi
    Zhu, Qingyong
    Cui, Zhuo-Xu
    Yin, Gang
    Cheng, Huaibin
    Lu, Minjie
    Liang, Dong
    Shi, Ke
    Zhao, Lei
    Liu, Hui
    Zhang, Jiayin
    Chen, Liang
    Prasad, Sanjay K.
    Zhao, Shihua
    Zheng, Hairong
    JACC-CARDIOVASCULAR IMAGING, 2024, 17 (08) : 880 - 893
  • [5] A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
    Smole, Tim
    Zunkovic, Bojan
    Piculin, Matej
    Kokalj, Enja
    Robnik-Sikonja, Marko
    Kukar, Matjaz
    Fotiadis, Dimitrios, I
    Pezoulas, Vasileios C.
    Tachos, Nikolaos S.
    Barlocco, Fausto
    Mazzarotto, Francesco
    Popovic, Dejana
    Maier, Lars
    Velicki, Lazar
    MacGowan, Guy A.
    Olivotto, Iacopo
    Filipovic, Nenad
    Jakovljevic, Djordje G.
    Bosnic, Zoran
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135
  • [6] Machine learning-based detection of sleep-disordered breathing in hypertrophic cardiomyopathy
    Akita, Keitaro
    Kageyama, Shigetaka
    Suzuki, Sayumi
    Ohno, Kazuto
    Kamakura, Masamitsu
    Nawada, Ryuzo
    Takanaka, Chiei
    Wakabayashi, Yasushi
    Kanda, Takahiro
    Tawarahara, Kei
    Mutoh, Masahiro
    Matsunaga, Masaki
    Suwa, Satoru
    Takeuchi, Yasuyo
    Sakamoto, Hiroki
    Saito, Hideki
    Hayashi, Kazusa
    Wakahara, Nobuyuki
    Unno, Kyoko
    Ikoma, Takenori
    Sato, Ryota
    Iguchi, Keisuke
    Satoh, Terumori
    Sano, Makoto
    Suwa, Kenichiro
    Naruse, Yoshihisa
    Ohtani, Hayato
    Saotome, Masao
    Maekawa, Yuichiro
    HEART, 2024, 110 (14) : 954 - 962
  • [7] Deep learning-based diagnosis of feline hypertrophic cardiomyopathy
    Rho, Jinhyung
    Shin, Sung-Min
    Jhang, Kyoungsun
    Lee, Gwanghee
    Song, Keun-Ho
    Shin, Hyunguk
    Na, Kiwon
    Kwon, Hyo-Jung
    Son, Hwa-Young
    PLOS ONE, 2023, 18 (02):
  • [8] Machine Learning-Based Model Can Predict Stroke Outcome
    Heo, JoonNyung
    Yoon, Jihoon
    Park, Hyung Jong
    Kim, Young Dae
    Nam, Hyo Suk
    Heo, Ji Hoe
    STROKE, 2018, 49
  • [9] A Deep Learning-Based Cardiovascular Magnetic Resonance Native T1 Scar Prediction Model in Hypertrophic Cardiomyopathy
    Neisius, Ulf
    Fahmy, Ahmed
    El-Rewaidy, Hossam
    Nakamori, Shiro
    Manning, Warren J.
    Nezafat, Reza
    CIRCULATION, 2019, 140
  • [10] A Machine Learning-Based Model for Predicting the Risk of Cardiovascular Disease
    Hsiao, Chiu-Han
    Yu, Po-Chun
    Hsieh, Chia-Ying
    Zhong, Bing-Zi
    Tsai, Yu-Ling
    Cheng, Hao-min
    Chang, Wei-Lun
    Lin, Frank Yeong-Sung
    Huang, Yennun
    ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1, 2022, 449 : 364 - 374