ICDM 2023

Program details

S7 Epidemiology & genetic 1 From data to insights: advancing diabetes care with machine learning prediction models Chair(s): Seok Won Park, Dae Jung Kim Friday 20 October, 16:00~17:40 Room 3 (3F)

Artificial intelligence and Machine Learning are revolutionizing various aspects of our lives, including the healthcare system. The application of AI/ML in diabetes care has the potential to significantly improve its efficiency and reach. High burden of diabetes cases in Korea presents a unique opportunity due to the vast availability of data. AI/ML applications can provide valuable insights and help tailor-made solutions for the challenges we face. In this session, we will discuss the strategies for utilizing AI/ML in diabetes prediction and treatment.

S7-1 Kazuya Fujihara Niigata University, Japan: Big data and machine learning applications in diabetes care

S7-2 Junghye Lee Seoul National University, Korea: Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: a machine learning analysis of population-based 10-year prospective cohort study

S7-3 Nan Hee Kim Korea University, Korea: An artificial intelligence-based prediction model for diabetic kidney disease progression

S7-4 Tae Joon Jun Asan Medical Center, Korea: Electronic medical record–based machine learning approach to predict the risk of cardiovascular disease

S10 Epidemiology & genetic 2 Other specific types of diabetes Chair(s): Kyung Soo Ko, Chang Beom Lee Saturday 21 October, 09:00~10:40 Room 3 (3F)

When diagnosing and treating diabetes, mainly type 2 and types 1 diabetes are considered clinical practice. However, there are other specific types of diabetes, but doctors' interest and information about them is very limited. So let's take a closer look at the other 4 types of diabetes. This session will help you better understand the various types of diabetes and make an appropriate diagnosis.

S10-1 Toni I. Pollin University of Maryland, USA: Monogenic diabetes

S10-2 Yu Mi Kang Harvard University, USA: Clinical overview and implications of immune checkpoint inhibitor-induced diabetes mellitus

S10-3 Seung Jin Han Ajou University, Korea: Characteristics and clinical course of diabetes of the exocrine pancreas

S10-4 Chul-Woo Yang The Catholic University of Korea, Korea: Post-transplantation diabetes, current status and new treatment

	사전등록 (~2023년 9월 15일까지)		현장등록 (2023년 10월 19일~21일)
	KDA회원	비회원	KDA회원	비회원
전문의(개원의, 교수, 봉직의, 전임의 포함)	₩280,000	₩350,000	₩370,000	₩450,000
전공의, 간호사, 영양사, 사회복지사, 약사, 연구원, 운동처방사 및 기타 (군의관 및 공중보건의 포함)	₩180,000	₩230,000	₩250,000	₩270,000
저녁 식사	₩30,000

Program details

평점안내 (For Korean)