Cargando…

Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults

Purpose: We aimed to establish and validate a risk assessment system that combines demographic and clinical variables to predict the 3-year risk of incident diabetes in Chinese adults. Methods: A 3-year cohort study was performed on 15,928 Chinese adults without diabetes at baseline. All participant...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Yang, Hu, Haofei, Cai, Jinlin, Chen, Runtian, Zuo, Xin, Cheng, Heng, Yan, Dewen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275929/ https://www.ncbi.nlm.nih.gov/pubmed/34268283 http://dx.doi.org/10.3389/fpubh.2021.626331

Ejemplares similares

A prediction nomogram for the 3-year risk of incident diabetes among Chinese adults
por: Wu, Yang, et al.
Publicado: (2020)

Association of mean arterial pressure with 5-year risk of incident diabetes in Chinese adults：a secondary population-based cohort study
por: Wu, Yang, et al.
Publicado: (2022)

Association of hypertension and incident diabetes in Chinese adults: a retrospective cohort study using propensity-score matching
por: Wu, Yang, et al.
Publicado: (2021)

Triglyceride glucose-body mass index and the risk of progression to diabetes from prediabetes: A 5-year cohort study in Chinese adults
por: Han, Yong, et al.
Publicado: (2023)

Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning
por: Xu, Hui, et al.
Publicado: (2022)

Machine learning approach to predict body weight in adults
por: Fujihara, Kazuya, et al.
Publicado: (2023)

Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics
por: Li, Mengting, et al.
Publicado: (2022)

Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study
por: Han, Yuchen, et al.
Publicado: (2023)

The impact of Chinese COVID-19 pandemic on the incidence of peripheral facial nerve paralysis after optimizing policies
por: Yu, Erhui, et al.
Publicado: (2023)

Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
por: Albadr, Musatafa Abbas Abbood, et al.
Publicado: (2022)

Trends of cancer incidence among Chinese older adults from 2005 to 2016: A log-linear regression and age-period-cohort analysis
por: Guo, Hong, et al.
Publicado: (2022)

Application of machine learning for risky sexual behavior interventions among factory workers in China
por: Zhang, Fang, et al.
Publicado: (2023)

The Association Between Plasma Copper Concentration and Prevalence of Diabetes in Chinese Adults With Hypertension
por: Cui, Zhixin, et al.
Publicado: (2022)

Prevalence and Incidence Rate of Diabetes, Pre-diabetes, Uncontrolled Diabetes, and Their Predictors in the Adult Population in Southeastern Iran: Findings From KERCADR Study
por: Najafipour, Hamid, et al.
Publicado: (2021)

Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning
por: Byeon, Haewon
Publicado: (2023)

The Characteristics of Emotional Response of Post-traumatic Stress Disorder and Post-traumatic Growth among Chinese Adults Exposed to an Explosion Incident
por: Wei, Chuguang, et al.
Publicado: (2017)

Adaptive restraint design for a diverse population through machine learning
por: Sun, Wenbo, et al.
Publicado: (2023)

Developing a Risk Stratification Model Based on Machine Learning for Targeted Screening of Diabetic Retinopathy in the Indian Population
por: Surya, Janani, et al.
Publicado: (2023)

Machine Learning Assisted Cervical Cancer Detection
por: Mehmood, Mavra, et al.
Publicado: (2021)

Machine learning in the loop for tuberculosis diagnosis support
por: Orjuela-Cañón, Alvaro D., et al.
Publicado: (2022)

Demand prediction of medical services in home and community-based services for older adults in China using machine learning
por: Huang, Yucheng, et al.
Publicado: (2023)

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases
por: Li, Chaofan, et al.
Publicado: (2022)

Machine Learning Applications for the Prediction of Bone Cement Leakage in Percutaneous Vertebroplasty
por: Li, Wenle, et al.
Publicado: (2021)

Depressive symptoms increase the risk of falls and injurious falls in Chinese adults aged ≥ 45 years: A 3-year cohort study
por: Bu, Hanli, et al.
Publicado: (2022)

Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
por: Fan, Tingting, et al.
Publicado: (2023)

Poor Physical Capacity Combined With High Body Fat Percentage as an Independent Risk Factor for Incident Hypertension in Chinese Suburb-Dwelling Older Adults
por: Han, Peipei, et al.
Publicado: (2022)

Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning
por: Wang, Xiaofeng, et al.
Publicado: (2021)

Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study
por: Wang, Shu, et al.
Publicado: (2023)

Using Machine Learning Methods to Predict Bone Metastases in Breast Infiltrating Ductal Carcinoma Patients
por: Liu, Wen-Cai, et al.
Publicado: (2022)

Association between dyslipidemia and risk of type 2 diabetes mellitus in middle-aged and older Chinese adults: a secondary analysis of a nationwide cohort
por: Peng, Jieru, et al.
Publicado: (2021)

Chinese and Global Burdens of Gastrointestinal Cancers From 1990 to 2019
por: Xie, Wangcheng, et al.
Publicado: (2022)

Predicting population health with machine learning: a scoping review
por: Morgenstern, Jason Denzil, et al.
Publicado: (2020)

Machine learning models for predicting depression in Korean young employees
por: Kim, Suk-Sun, et al.
Publicado: (2023)

Genetic Risk Score Increased Discriminant Efficiency of Predictive Models for Type 2 Diabetes Mellitus Using Machine Learning: Cohort Study
por: Wang, Yikang, et al.
Publicado: (2021)

Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study
por: Zhong, Zuoquan, et al.
Publicado: (2022)

The prevalence, incidence, and persistence of self-reported visual impairment among Chinese population with diabetes mellitus: evaluation from a nationally representative survey, 2015–2018
por: Zhou, Yifan, et al.
Publicado: (2023)

Cost-effectiveness of two screening strategies based on Chinese diabetes risk score for pre-diabetes in China
por: Hao, Jingjing, et al.
Publicado: (2022)

Incidence and predictors of opportunistic infections in adolescents and adults after the initiation of antiretroviral therapy: A 10-year retrospective cohort study in Ethiopia
por: Woldegeorgis, Beshada Zerfu, et al.
Publicado: (2022)

Association of vision and hearing status with depressive symptoms among middle-aged and older Chinese adults
por: Liu, Yun-Guang, et al.
Publicado: (2022)

Physical activity maintenance and increase in Chinese children and adolescents: the role of intrinsic motivation and parental support
por: Liu, Yujie, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_fbrh4m9cp5grmm90i6h8g2bguv