최민혁 연구실
부산대학교 의학과
최민혁 교수
최민혁 교수 연구실
홈
최민혁 연구실
부산대학교 의학과 최민혁 교수
최민혁 연구실은 예방의학과 직업환경의학을 기반으로 역학, 지역사회보건, 건강불평등, 환경보건, 장애인 건강관리, 공공보건의료 정책을 융합적으로 연구하며, 지역사회 건강통계 생산과 근거 기반 보건사업 기획·평가를 통해 취약집단의 건강권 보장과 지역 중심 건강형평성 향상에 기여하고 있다.
대표 연구 분야
연구 영역 전체보기
지역사회보건과 건강불평등 연구
지역사회보건과 건강불평등 연구
장애인 건강검진과 취약집단 건강관리
환경보건과 기후위기 대응 역학
주요 논문
3
논문 전체보기
1
article
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gold
·
인용수 26·
2024Association between heat and hospital admissions in people with disabilities in South Korea: a nationwide, case-crossover study
Jinah Park, Ayoung Kim, Yoonhee Kim, Min-Hyeok Choi, Tae Ho Yoon, Cinoo Kang, Hee Jung Kang, Jieun Oh, Michelle L. Bell, Ho Kim, Whanhee Lee
IF 21.6
The Lancet Planetary Health
National Research Foundation of Korea, the South Korean Ministry of Environment, and the South Korean Ministry of Education.
https://doi.org/10.1016/s2542-5196(24)00027-5
Medicine
Emergency department
Logistic regression
Odds ratio
Environmental health
Demography
Emergency medicine
Psychiatry
2
article
|
gold
·
인용수 2·
2024Impact of the presence of a family member with dementia on the prevalence of depression: a comparison based on household income level
Min Hui Moon, Suk‐Woong Kang, Min-Hyeok Choi
IF 4.1
International Journal for Equity in Health
Our findings suggest the necessity for support policies tailored to low-income groups and women among families of patients with dementia. This is crucial given the higher prevalence of depression among families of patients with dementia than among families without patients with dementia.
https://doi.org/10.1186/s12939-024-02361-7
Dementia
Depression (economics)
Odds ratio
Medicine
Socioeconomic status
Demography
Logistic regression
Public health
Confidence interval
Family income
3
article
|
인용수 48
·
2022Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI
MinWoo Kim, Sangmin Lee, Chankue Park, Dongeon Lee, Kang Soo Kim, Hee Seok Jeong, Shin-Young Kim, Min-Hyeok Choi, Dominik Nickel
IF 8
Investigative Radiology
The combined use of DL-enhanced 8-fold acceleration imaging (4-fold PI with 2-fold SMS) showed comparable performance with conventional 2-fold PI for the evaluation of internal knee derangement, with a 71% reduction in acquisition time.
https://doi.org/10.1097/rli.0000000000000900
Magnetic resonance imaging
Multislice
Image quality
Medicine
Nuclear medicine
Acceleration
Knee Joint
Artificial intelligence
Computer science
Radiology