J Korean Med Sci.
2024 Feb;39(5):e68. 10.3346/jkms.2024.39.e68.
Bridging Machine Learning and Clinical Medicine in Septic Patient Care
- Jung J
1,2
- Affiliations
-
- 1Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea
- 2Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
- KMID: 2551984
- DOI: http://doi.org/10.3346/jkms.2024.39.e68
Reference
-
1. Park SW, Yeo NY, Kang S, Ha T, Kim TH, Lee DH, et al. Early prediction of mortality for septic patients visiting emergency room based on explainable machine learning: a real-world multicenter study. J Korean Med Sci. 2024; 39(5):e53.2. Cho Y, Park S, Hwang SH, Ko M, Lim DS, Yu CW, et al. Aortic annulus detection based on deep learning for transcatheter aortic valve replacement using cardiac computed tomography. J Korean Med Sci. 2023; 38(37):e306. PMID: 37724499.3. Chun JW, Kim HS. The present and future of artificial intelligence-based medical image in diabetes mellitus: focus on analytical methods and limitations of clinical use. J Korean Med Sci. 2023; 38(31):e253. PMID: 37550811.
- Full Text Links
-
- Actions
-
Cited
- CITED
-
- Close
- Share
-
- Similar articles
-
- Artificial intelligence, machine learning, and deep learning in women’s health nursing
- Application of Machine Learning in Rhinology: A State of the Art Review
- Machine Learning vs. Statistical Model for Prediction Modelling: Application in Medical Imaging Research
- Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
- Application of machine learning in rheumatic disease research
