433 results  1 of 22 

1 Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach
Eka Miranda, Suko Adiarto, Faqir M. Bhatti, Alfi Yusrotis Zakiyyah, Mediana Aryuni, Charles Bernando
Healthc Inform Res.2023;29(3):228-238.   Published online 2023 July 31     DOI: http://dx.doi.org/10.4258/hir.2023.29.3.228
      
2 The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
Ji-Won Chun, Hun-Sung Kim
J Korean Med Sci.2023;38(31):e253.  Published online 2023 July 26     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e253
      
3 Open datasets in perioperative medicine: a narrative review
Leerang Lim, Hyung-Chul Lee
Anesth Pain Med.2023;18(3):213-219.   Published online 2023 July 26     DOI: http://dx.doi.org/10.17085/apm.23076
      
4 기계학습 알고리즘을 이용한 간섬유화 바이오마커의 검증
Min-Kyeong Kim, Heon-Ju Kwon, Kangsu Shin, Hyosoon Park, Hee-Yeon Woo, Chang-Hun Park, Min-Jung Kwon
Lab Med Online.2023;13(3):189-198.   Published online 2023 July 1     DOI: http://dx.doi.org/10.47429/lmo.2023.13.3.189
      
5 Prediction of medication-related osteonecrosis of the jaw (MRONJ) using automated machine learning in patients with osteoporosis associated with dental extraction and implantation: a retrospective study
Da Woon Kwack, Sung Min Park
J Korean Assoc Oral Maxillofac Surg.2023;49(3):135-141.   Published online 2023 June 30     DOI: http://dx.doi.org/10.5125/jkaoms.2023.49.3.135
      
6 Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure
Jung-Ki Yoon, Sungjoon Park, Kyoung-Hee Lee, Dabin Jeong, Jisu Woo, Jieun Park, Seung-Muk Yi, Dohyun Han, Chul-Gyu Yoo, Sun Kim, Chang-Hoon Lee
J Korean Med Sci.2023;38(29):e220.  Published online 2023 June 14     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e220
      
7 Diagnostic Utility of Artificial Intelligence in Breast Ultrasound
Hyun Jo Youn, Hyeong Eun Jeong, Ha Rim Ahn, Sang Yull Kang, Sung Hoo Jung
J Surg Ultrasound.2023;10(1):8-13.   Published online 2023 May 31     DOI: http://dx.doi.org/10.46268/jsu.2023.10.1.8
      
8 Machine-Learning Based Analysis of Usefulness of Wideband Tympanometry in Various Middle Ear Disorders
Seung Cheol Han, Hae Chan Park, Ye Jin Byun, Myung-Whan Suh, Jun Ho Lee, Seung-Ha Oh, Moo Kyun Park
Korean J Otorhinolaryngol-Head Neck Surg.2023;66(7):447-454.   Published online 2023 May 30     DOI: http://dx.doi.org/10.3342/kjorl-hns.2021.00780
      
9 A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort
Xuangao Wu, Sunmin Park
J Korean Med Sci.2023;38(21):e162.  Published online 2023 April 25     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e162
      
10 IPMN-LEARN: A linear support vector machine learning model for predicting low-grade intraductal papillary mucinous neoplasms
Yasmin Genevieve Hernandez-Barco, Dania Daye, Carlos F. Fernandez-del Castillo, Regina F. Parker, Brenna W. Casey, Andrew L. Warshaw, Cristina R. Ferrone, Keith D. Lillemoe, Motaz Qadan
Ann Hepatobiliary Pancreat Surg.2023;27(2):195-200.   Published online 2023 April 3     DOI: http://dx.doi.org/10.14701/ahbps.22-107
      
11 Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome
Sarawuth Limprasert, Ajchara Phu-ang
Healthc Inform Res.2023;29(2):120-131.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.120
      
12 Design of a Machine Learning System to Predict the Thickness of a Melanoma Lesion in a Non-Invasive Way from Dermoscopic Images
Ádám Szijártó, Ellák Somfai, András Lőrincz
Healthc Inform Res.2023;29(2):112-119.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.112
      
13 Dorsal Hand Vein Pattern Recognition: A Comparison between Manual and Automatic Segmentation Methods
Waheed Ali Laghari, Audrey Huong, Kim Gaik Tay, Chang Choon Chew
Healthc Inform Res.2023;29(2):152-160.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.152
      
14 Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model
Geun Hyeong Lee, Jonggul Park, Jihyeong Kim, Yeesuk Kim, Byungjin Choi, Rae Woong Park, Sang Youl Rhee, Soo-Yong Shin
Healthc Inform Res.2023;29(2):168-173.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.168
      
15 Improvement of Dialysis Dosing Using Big Data Analytics
Syeda Leena Mumtaz, Abdulrahim Shamayleh, Hussam Alshraideh, Adnane Guella
Healthc Inform Res.2023;29(2):174-185.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.174
      
16 A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults
Su-Yeon Hwang, Jung-Eun Park
J Korean Acad Oral Health.2023;47(1):26-31.   Published online 2023 March 31     DOI: http://dx.doi.org/10.11149/jkaoh.2023.47.1.26
      
17 Future directions of online learning environment design at medical schools: a transition towards a post-pandemic context
Sejin Kim
Kosin Med J.2023;38(1):12-20.   Published online 2023 March 27     DOI: http://dx.doi.org/10.7180/kmj.23.110
      
18 Identifying Disease of Interest With Deep Learning Using Diagnosis Code
Yoon-Sik Cho, Eunsun Kim, Patrick L. Stafford, Min-hwan Oh, Younghoon Kwon
J Korean Med Sci.2023;38(11):e77.  Published online 2023 March 3     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e77
      
19 Machine Learning Algorithms for Predicting Treatment Outcomes of Oropharyngeal Cancer After Surgery
Dachan Kim, Se-Heon Kim, Eun Chang Choi, Jae-Yol Lim, Yoon Woo Koh, Young Min Park
Korean J Otorhinolaryngol-Head Neck Surg.2023;66(4):241-247.   Published online 2023 February 24     DOI: http://dx.doi.org/10.3342/kjorl-hns.2022.00794
      
20 A Classifying Model of Obstructive Sleep Apnea Based on Heart Rate Variability in a Large Korean Population
Pona Park, Jeong-Whun Kim
J Korean Med Sci.2023;38(7):e49.  Published online 2023 February 6     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e49
      

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