지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 928 - 937 (10page)
- DOI
- https://doi.org/10.3803/EnM.2021.1111
이용수
초록· 키워드
오류제보하기
In this unprecedented era of the overwhelming volume of medical data, machine learning can be a promising tool that may shed lighton an individualized approach and a better understanding of the disease in the field of osteoporosis research, similar to that in otherresearch fields. This review aimed to provide an overview of the latest studies using machine learning to address issues, mainly focusing on osteoporosis and fractures. Machine learning models for diagnosing and classifying osteoporosis and detecting fracturesfrom images have shown promising performance. Fracture risk prediction is another promising field of research, and studies are being conducted using various data sources. However, these approaches may be biased due to the nature of the techniques or the quality of the data. Therefore, more studies based on the proposed guidelines are needed to improve the technical feasibility and generalizability of artificial intelligence algorithms.
목차
등록된 정보가 없습니다.
참고문헌 (75)
참고문헌 신청
National Osteoporosis Foundation / New report on burden of osteoporosis highlights huge and growing economic and human toll of the disease
김하영 / 2017 / Healthcare Costs of Osteoporotic Fracture in Korea: Information from the National Health Insurance Claims Database, 2008-2011 / 대한골대사학회지 24(2):125~133
Kanis JA / 2017 / FRAX update / J Clin Densitom 20:360~367
Aspray TJ / 2013 / New horizons in fracture risk assessment / Age Ageing 42:548~554
홍남기 / 2020 / Machine Learning Applications in Endocrinology and Metabolism Research: An Overview / Endocrinology and Metabolism 35(1):71~84
김하영 / 2017 / Healthcare Costs of Osteoporotic Fracture in Korea: Information from the National Health Insurance Claims Database, 2008-2011 / 대한골대사학회지 24(2):125~133
Kanis JA / 2017 / FRAX update / J Clin Densitom 20:360~367
Aspray TJ / 2013 / New horizons in fracture risk assessment / Age Ageing 42:548~554
홍남기 / 2020 / Machine Learning Applications in Endocrinology and Metabolism Research: An Overview / Endocrinology and Metabolism 35(1):71~84
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
More research and education of osteoporosis should be focused on the oldest old and men
Osteoporosis and Sarcopenia
2019 .01
-
Medical treatment of severe osteoporosis including new concept of advanced severe osteoporosis
Osteoporosis and Sarcopenia
2016 .01
-
The Impact of Educational Interventions on Osteoporosis Knowledge among Korean Osteoporosis Patients
대한골대사학회지
2018 .01
-
A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort
Journal of Korean Medical Science
2023 .05
-
Introduction of the Cost-Effectiveness Studies of Fracture Liaison Service in Other Countries
대한골대사학회지
2020 .01
-
Up-to-Date Knowledge on Osteoporosis Treatment Selection in Postmenopausal Women
대한폐경학회지
2022 .12
-
A coordination project for improvement of osteoporosis medication use among patients who sustained osteoporotic fracture(s)
Osteoporosis and Sarcopenia
2019 .01
-
남성 골다공증의 위험 요인에 대한 최신 지견과 공중보건학적 중재 전략
보건교육건강증진학회지
2023 .06
-
Comparison in Adherence to Osteoporosis Guidelines according to Bone Health Status in Korean Adult
대한골대사학회지
2016 .01
-
Current issues in evaluation and management of osteoporosis in Thailand
Osteoporosis and Sarcopenia
2023 .06
-
Evaluation of the Predictive Index for Osteoporosis as a Clinical Tool to Identify the Risk of Osteoporosis in Korean Men by Using the Korea National Health and Nutrition Examination Survey Data
Korean Journal of Family Medicine
2016 .01
-
Osteoporosis knowledge assessment and osteoporosis education recommendations in the health professions
Osteoporosis and Sarcopenia
2016 .01
-
Long-Term Treatment of Postmenopausal Osteoporosis
Endocrinology and Metabolism
2021 .01
-
Best Laboratory Screening in Diagnosing Secondary Osteoporosis and Fracture Risk Assessment Tool and the National Osteoporosis Guideline Group Performance in Determining Clinical Risk: A Cross-Sectional Evaluation of the Bone Health in Postmenopausal Brazilian Women
대한골대사학회지
2023 .02
-
Environmental Air Pollution and the Risk of Osteoporosis and Bone Fractures
예방의학회지
2018 .01
-
Environmental Air Pollution and the Risk of Osteoporosis and Bone Fractures
예방의학회지
2018 .01
-
Factors associated with osteoporosis medication initiation and adherence
Osteoporosis and Sarcopenia
2018 .01
-
Publication Trends in Osteoporosis Treatment: A 20-Year Bibliometric Analysis
대한골대사학회지
2024 .05
-
Relationship between Decrease in Serum Sodium Level and Bone Mineral Density in Osteoporotic Fracture Patients
대한골대사학회지
2015 .01
-
A practical approach to secondary osteoporosis e Case studies in Asia
Osteoporosis and Sarcopenia
2016 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0