Kim KH - Search Results

1

Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.

Choi H, Choi B, Han S, Lee M, Shin GT, Kim H, Son M, Kim KH, Kwon JM, Park RW, Park I. Choi H, et al. Among authors: kim h, kim kh. Intern Med. 2024 Mar 15;63(6):773-780. doi: 10.2169/internalmedicine.1459-22. Epub 2023 Aug 9. Intern Med. 2024. PMID: 37558487 Free PMC article.

2

Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Kwon JM, Kim KH, Jeon KH, Park J. Kwon JM, et al. Among authors: kim kh. Echocardiography. 2019 Feb;36(2):213-218. doi: 10.1111/echo.14220. Epub 2018 Dec 4. Echocardiography. 2019. PMID: 30515886

3

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

Kwon JM, Jeon KH, Kim HM, Kim MJ, Lim S, Kim KH, Song PS, Park J, Choi RK, Oh BH. Kwon JM, et al. Among authors: kim hm, kim mj, kim kh. Resuscitation. 2019 Jun;139:84-91. doi: 10.1016/j.resuscitation.2019.04.007. Epub 2019 Apr 9. Resuscitation. 2019. PMID: 30978378

4

Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.

Kwon JM, Jeon KH, Lee M, Kim KH, Park J, Oh BH. Kwon JM, et al. Among authors: kim kh. Pediatr Emerg Care. 2021 Dec 1;37(12):e988-e994. doi: 10.1097/PEC.0000000000001858. Pediatr Emerg Care. 2021. PMID: 31268962

5

Artificial intelligence algorithm for predicting mortality of patients with acute heart failure.

Kwon JM, Kim KH, Jeon KH, Lee SE, Lee HY, Cho HJ, Choi JO, Jeon ES, Kim MS, Kim JJ, Hwang KK, Chae SC, Baek SH, Kang SM, Choi DJ, Yoo BS, Kim KH, Park HY, Cho MC, Oh BH. Kwon JM, et al. Among authors: kim jj, kim ms, kim kh. PLoS One. 2019 Jul 8;14(7):e0219302. doi: 10.1371/journal.pone.0219302. eCollection 2019. PLoS One. 2019. PMID: 31283783 Free PMC article.

6

Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction.

Kwon JM, Jeon KH, Kim HM, Kim MJ, Lim S, Kim KH, Song PS, Park J, Choi RK, Oh BH. Kwon JM, et al. Among authors: kim hm, kim mj, kim kh. PLoS One. 2019 Oct 31;14(10):e0224502. doi: 10.1371/journal.pone.0224502. eCollection 2019. PLoS One. 2019. PMID: 31671144 Free PMC article.

7

Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography.

Kwon JM, Jeon KH, Kim HM, Kim MJ, Lim SM, Kim KH, Song PS, Park J, Choi RK, Oh BH. Kwon JM, et al. Among authors: kim hm, kim mj, kim kh. Europace. 2020 Mar 1;22(3):412-419. doi: 10.1093/europace/euz324. Europace. 2020. PMID: 31800031

8

Artificial intelligence for detecting mitral regurgitation using electrocardiography.

Kwon JM, Kim KH, Akkus Z, Jeon KH, Park J, Oh BH. Kwon JM, et al. Among authors: kim kh. J Electrocardiol. 2020 Mar-Apr;59:151-157. doi: 10.1016/j.jelectrocard.2020.02.008. Epub 2020 Feb 27. J Electrocardiol. 2020. PMID: 32146201

9

Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Kwon JM, Lee SY, Jeon KH, Lee Y, Kim KH, Park J, Oh BH, Lee MM. Kwon JM, et al. Among authors: kim kh. J Am Heart Assoc. 2020 Apr 7;9(7):e014717. doi: 10.1161/JAHA.119.014717. Epub 2020 Mar 21. J Am Heart Assoc. 2020. PMID: 32200712 Free PMC article.

10

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.

Cho KJ, Kwon O, Kwon JM, Lee Y, Park H, Jeon KH, Kim KH, Park J, Oh BH. Cho KJ, et al. Among authors: kim kh. Crit Care Med. 2020 Apr;48(4):e285-e289. doi: 10.1097/CCM.0000000000004236. Crit Care Med. 2020. PMID: 32205618

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