Cha H - Search Results

1

Enhancing Large Language Model Reliability: Minimizing Hallucinations with Dual Retrieval-Augmented Generation Based on the Latest Diabetes Guidelines.

Lee J, Cha H, Hwangbo Y, Cheon W. Lee J, et al. Among authors: cha h. J Pers Med. 2024 Nov 30;14(12):1131. doi: 10.3390/jpm14121131. J Pers Med. 2024. PMID: 39728044 Free PMC article.

2

Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study.

Ryu KS, Kang HYJ, Lee SW, Park HW, You NY, Kim JH, Hwangbo Y, Choi KS, Cha HS. Ryu KS, et al. Int J Environ Res Public Health. 2020 Nov 30;17(23):8903. doi: 10.3390/ijerph17238903. Int J Environ Res Public Health. 2020. PMID: 33266117 Free PMC article.

3

Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data.

Lee S, Ryu KS, Kang HYJ, You NY, Choi KS, Hwangbo Y, Lee JW, Cha HS. Lee S, et al. Int J Environ Res Public Health. 2021 Jan 29;18(3):1195. doi: 10.3390/ijerph18031195. Int J Environ Res Public Health. 2021. PMID: 33572855 Free PMC article.

4

Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study.

Jo YY, Han J, Park HW, Jung H, Lee JD, Jung J, Cha HS, Sohn DK, Hwangbo Y. Jo YY, et al. Among authors: cha hs. JMIR Med Inform. 2021 Feb 22;9(2):e23147. doi: 10.2196/23147. JMIR Med Inform. 2021. PMID: 33616544 Free PMC article.

5

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Kim J, Lee S, Hwang E, Ryu KS, Jeong H, Lee JW, Hwangbo Y, Choi KS, Cha HS. Kim J, et al. Among authors: cha hs. J Med Internet Res. 2020 Dec 16;22(12):e18418. doi: 10.2196/18418. J Med Internet Res. 2020. PMID: 33325832 Free PMC article.

6

Impact of image compression on deep learning-based mammogram classification.

Jo YY, Choi YS, Park HW, Lee JH, Jung H, Kim HE, Ko K, Lee CW, Cha HS, Hwangbo Y. Jo YY, et al. Among authors: cha hs. Sci Rep. 2021 Apr 12;11(1):7924. doi: 10.1038/s41598-021-86726-w. Sci Rep. 2021. PMID: 33846388 Free PMC article.

7

Application of Machine Learning to Identify Clinically Meaningful Risk Group for Osteoporosis in Individuals Under the Recommended Age for Dual-Energy X-Ray Absorptiometry.

Park HW, Jung H, Back KY, Choi HJ, Ryu KS, Cha HS, Lee EK, Hong AR, Hwangbo Y. Park HW, et al. Among authors: cha hs. Calcif Tissue Int. 2021 Dec;109(6):645-655. doi: 10.1007/s00223-021-00880-x. Epub 2021 Jun 30. Calcif Tissue Int. 2021. PMID: 34195852

8

Can computed tomography scanning in adults lead to an increased risk of thyroid cancer? A nationwide nested case-control study.

Lee YK, Lee S, Lee EK, Kim HC, Kong SY, Cha HS, Hwangbo Y. Lee YK, et al. Eur Radiol. 2022 Jan;32(1):415-423. doi: 10.1007/s00330-021-08186-0. Epub 2021 Jul 10. Eur Radiol. 2022. PMID: 34245323

9

Next-Generation Sequencing-Based Cancer Panel Data Conversion Using International Standards to Implement a Clinical Next-Generation Sequencing Research System: Single-Institution Study.

Park P, Shin SY, Park SY, Yun J, Shin C, Jung J, Choi KS, Cha HS. Park P, et al. JMIR Med Inform. 2020 Apr 24;8(4):e14710. doi: 10.2196/14710. JMIR Med Inform. 2020. PMID: 32329738 Free PMC article.

10

Data Resource Profile: The Cancer Public Library Database in South Korea.

Choi DW, Guk MY, Kim HR, Ryu KS, Kong HJ, Cha HS, Kim HJ, Chae H, Jeon YS, Kim H, Jung J, Im JS, Choi KS. Choi DW, et al. Among authors: cha hs. Cancer Res Treat. 2024 Oct;56(4):1014-1026. doi: 10.4143/crt.2024.207. Epub 2024 Apr 30. Cancer Res Treat. 2024. PMID: 38697846 Free PMC article.

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