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Kayo Misumi
Saiseikai Utsunomiya Hospital
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Derivation and Validation of a Machine Learning-Based Risk Prediction Model for In-Hospital Mortality in Patients with Acute Heart Failure
Number of pages: 21
Posted: 17 May 2022
Kayo Misumi,
Yuya Matsue
,
Kazutaka Nogi
,
Nobuyuki Kagiyama
,
Takatoshi Kasai
,
Takeshi Kitai
,
Shogo Oishi
,
Eiichi Akiyama
,
Satoshi Suzuki
,
Masayoshi Yamamoto
,
Keisuke Kida
,
Takahiko Okumura
,
Maki Nogi
,
Satomi Ishihara
,
Tomoya Ueda
,
Rika Kawakami
,
Yoshihiko Saito
and
Tohru Minamino
Saiseikai Utsunomiya Hospital, Juntendo University - Graduate School of Medicine, Nara Medical University - Department of Cardiovascular Medicine, Juntendo University - Graduate School of Medicine, Juntendo University - Graduate School of Medicine, National Cerebral and Cardiovascular Centre, National Cerebral and Cardiovascular Centre, Yokohama City University - Medical Center, Fukushima Medical University, University of Tsukuba, Tsukuba Advanced Research Alliance (TARA), Faculty of Medicine, St. Marianna University - School of Medicine, Nagoya University - Graduate School of Medicine, Nara Medical University - Department of Cardiovascular Medicine, Nara Medical University - Department of Cardiovascular Medicine, Nara Medical University - Department of Cardiovascular Medicine, Nara Medical University - Department of Cardiovascular Medicine, Nara Medical University - Department of Cardiovascular Medicine and Juntendo University - Department of Cardiovascular Biology and Medicine
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Abstract:
acute heart failure, chloride, risk model, prediction
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