Cargando…

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

BACKGROUND: Previous conventional models for the prediction of diabetes could be updated by incorporating the increasing amount of health data available and new risk prediction methodology. OBJECTIVE: We aimed to develop a substantially improved diabetes risk prediction model using sophisticated mac...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Lei, Shang, Xianwen, Sreedharan, Subhashaan, Yan, Xixi, Liu, Jianbin, Keel, Stuart, Wu, Jinrong, Peng, Wei, He, Mingguang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420582/ https://www.ncbi.nlm.nih.gov/pubmed/32720912 http://dx.doi.org/10.2196/16850

Ejemplares similares

Leading Determinants for Disease-Free Status in Community-Dwelling Middle-Aged Men and Women: A 9-Year Follow-Up Cohort Study
por: Shang, Xianwen, et al.
Publicado: (2019)

Predicting the 10-year risk of cataract surgery using machine learning techniques on questionnaire data: findings from the 45 and Up Study
por: Wang, Wei, et al.
Publicado: (2022)

The impact of the coronavirus disease 2019 pandemic on elective urological procedures in Australia
por: John, Athul, et al.
Publicado: (2022)

Spatial Analysis of Incidence of Diagnosed Type 2 Diabetes Mellitus and Its Association With Obesity and Physical Inactivity
por: Wu, Jinrong, et al.
Publicado: (2021)

Effect of physical activity on reducing the risk of diabetic retinopathy progression: 10-year prospective findings from the 45 and Up Study
por: Yan, Xixi, et al.
Publicado: (2021)

Associations Among Outdoor Time, Skin Tanning, and the Risk of Surgically Treated Cataract for Australians 45 to 65 Years of Age
por: Han, Xiaotong, et al.
Publicado: (2022)

The Prevalence of Self-Reported Diabetes in the Australian National Eye Health Survey
por: Keel, Stuart, et al.
Publicado: (2017)

Association of Age-Related Macular Degeneration With Risk of All-Cause and Specific-Cause Mortality in the National Health and Nutrition Examination Survey, 2005 to 2008
por: Zhu, Zhuoting, et al.
Publicado: (2018)

Geographical Inequality on Cataract Surgery Uptake in 200,000 Australians: Findings from the “45 and Up Study”
por: Xiao, Guobei, et al.
Publicado: (2022)

Cross-sectional study of the association between cataract surgery and age-related macular degeneration in the era of phacoemulsification in the national health and nutrition examination survey 2005–2008
por: Zhu, Zhuoting, et al.
Publicado: (2020)

Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis
por: Shang, Xianwen, et al.
Publicado: (2020)

Are Leading Risk Factors for Cancer and Mental Disorders Multimorbidity Shared by These Two Individual Conditions in Community-Dwelling Middle-Aged Adults?
por: Shang, Xianwen, et al.
Publicado: (2020)

Association of Myopia With Risk of Incident Metabolic Syndrome: Findings From the UK Biobank Study Cohort of 91,591 Participants
por: Chen, Yanxian, et al.
Publicado: (2022)

Incidence, Progression, and Patterns of Multimorbidity in Community-Dwelling Middle-Aged Men and Women
por: Shang, Xianwen, et al.
Publicado: (2020)

Incidence of Medication-Treated Depression and Anxiety Associated with Long-Term Cancer, Cardiovascular Disease, Diabetes and Osteoarthritis in Community-dwelling Women and Men
por: Shang, Xianwen, et al.
Publicado: (2019)

Benchmark on a large cohort for sleep-wake classification with machine learning techniques
por: Palotti, Joao, et al.
Publicado: (2019)

Effects of corneal crosslinking on corneal shape stabilization after orthokeratology
por: Liao, Chimei, et al.
Publicado: (2020)

Use of Online or Paper Surveys by Australian Women: Longitudinal Study of Users, Devices, and Cohort Retention
por: Fitzgerald, David, et al.
Publicado: (2019)

Household expenditure of smokers and ex-smokers across socioeconomic groups: results from a large nationwide Australian longitudinal survey
por: Lal, Anita, et al.
Publicado: (2022)

Application of machine learning techniques at the CERN Large Hadron Collider
por: Van der Veken, Frederik, et al.
Publicado: (2020)

Reweighting in panel surveys: machine learning techniques for the Health Care and Social Survey
por: Cabrera-Léon, A, et al.
Publicado: (2023)

A Survey on Machine-Learning Techniques for UAV-Based Communications
por: Bithas, Petros S., et al.
Publicado: (2019)

Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
por: Keel, Stuart, et al.
Publicado: (2019)

Central obesity and its association with retinal age gap: insights from the UK Biobank study
por: Chen, Ruiye, et al.
Publicado: (2023)

Descriptor selection for predicting interfacial thermal resistance by machine learning methods
por: Tian, Xiaojuan, et al.
Publicado: (2021)

Diabetes mellitus and incident glaucoma in Australia: a 10-year cohort study from the 45 and Up Study
por: Jiang, Yu, et al.
Publicado: (2022)

A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis
por: Shi, Danli, et al.
Publicado: (2022)

The health and wellbeing of Australian farmers: a longitudinal cohort study
por: Brew, Bronwyn, et al.
Publicado: (2016)

Cohort profile: the Australian Longitudinal Study of Adults with Autism (ALSAA)
por: Arnold, Samuel, et al.
Publicado: (2019)

Online and Offline Recruitment of Young Women for a Longitudinal Health Survey: Findings From the Australian Longitudinal Study on Women’s Health 1989-95 Cohort
por: Loxton, Deborah, et al.
Publicado: (2015)

A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images
por: Hu, Wenyi, et al.
Publicado: (2023)

Body mass index is not associated with early onset cataract in the 45 and Up cohort study
por: Zhang, Jiaqing, et al.
Publicado: (2021)

Association between cardiovascular health metrics and retinal ageing
por: Chen, Ruiye, et al.
Publicado: (2023)

The Australian longitudinal study of health and relationships
por: Smith, Anthony MA, et al.
Publicado: (2007)

Telemedicine and delivery of ophthalmic care in rural and remote communities: Drawing from Australian experience
por: Kiburg, Katerina V., et al.
Publicado: (2022)

Research on Public Opinion Propagation of Emergency Reversal Based on Machine Learning
por: Wu, Xianwen, et al.
Publicado: (2023)

A large Australian longitudinal cohort registry demonstrates sustained safety and efficacy of oral medicinal cannabis for at least two years
por: Vickery, Alistair W., et al.
Publicado: (2022)

Obesity and the risk of developing chronic diseases in middle-aged and older adults: Findings from an Australian longitudinal population survey, 2009–2017
por: Keramat, Syed Afroz, et al.
Publicado: (2021)

A medication-wide association study to identify medications associated with incident clinically significant diabetic retinopathy
por: Xiong, Ruilin, et al.
Publicado: (2023)

Cohort Profile: Footprints in Time, the Australian Longitudinal Study of Indigenous Children
por: Thurber, Katherine A, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_6eua27mei7iso164pnivgeccs5