Litcius/Paper detail

Derivation and validation of a machine learning-based risk prediction model in patients with acute heart failure

Kayo Misumi, Yuya Matsue, Kazutaka Nogi, Yudai Fujimoto, Nobuyuki Kagiyama, Takatoshi Kasai, Takeshi Kitai, Shogo Oishi, Eiichi Akiyama, Satoshi Suzuki, Masayoshi Yamamoto, Keisuke Kida, Takahiro Okumura, Maki Nogi, Satomi Ishihara, Tomoya Ueda, Rika Kawakami, Yoshihiko Saito, Tohru Minamino

2023Journal of Cardiology14 citationsDOI

Topics & Concepts

MedicineLogistic regressionLasso (programming language)Framingham Risk ScoreNomogramHeart failureReceiver operating characteristicInternal medicineCohortAcute decompensated heart failureProportional hazards modelCardiologyComputer scienceDiseaseWorld Wide WebHeart Failure Treatment and ManagementSepsis Diagnosis and TreatmentMachine Learning in Healthcare