Cargando…
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
AIMS: This study aimed to develop and validate deep-learning-based artificial intelligence algorithm for predicting mortality of AHF (DAHF). METHODS AND RESULTS: 12,654 dataset from 2165 patients with AHF in two hospitals were used as train data for DAHF development, and 4759 dataset from 4759 patie...
Autores principales: | Kwon, Joon-myoung, Kim, Kyung-Hee, Jeon, Ki-Hyun, Lee, Sang Eun, Lee, Hae-Young, Cho, Hyun-Jai, Choi, Jin Oh, Jeon, Eun-Seok, Kim, Min-Seok, Kim, Jae-Joong, Hwang, Kyung-Kuk, Chae, Shung Chull, Baek, Sang Hong, Kang, Seok-Min, Choi, Dong-Ju, Yoo, Byung-Su, Kim, Kye Hun, Park, Hyun-Young, Cho, Myeong-Chan, Oh, Byung-Hee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613702/ https://www.ncbi.nlm.nih.gov/pubmed/31283783 http://dx.doi.org/10.1371/journal.pone.0219302 |
Ejemplares similares
-
Prognostic Impact and Predictors of New-Onset Atrial Fibrillation in Heart Failure
por: Choi, Hyo-In, et al.
Publicado: (2022) -
Coronary artery bypass graft versus percutaneous coronary intervention in acute heart failure
por: Lee, Sang Eun, et al.
Publicado: (2020) -
Clinical Characteristics and Outcome of Acute Heart Failure in Korea: Results from the Korean Acute Heart Failure Registry (KorAHF)
por: Lee, Sang Eun, et al.
Publicado: (2017) -
Management and Prognosis of Heart Failure in Octogenarians: Final Report from the KorAHF Registry
por: Oh, Gyu Chul, et al.
Publicado: (2020) -
Nutritional risk index as a predictor of mortality in acutely decompensated heart failure
por: Cho, Jae Yeong, et al.
Publicado: (2018)