Annals of Epidemiology最新文献_第4页

Trends & racial disparities in stroke mortality in the US 美国中风死亡率的趋势和种族差异

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.090

引用次数: 0

Integrating a machine learning algorithm to forecast daily asthma hospitalizations 整合机器学习算法，预测每天的哮喘住院人数

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.006

引用次数: 0

Identifying Latent Themes of Child Fatality and Near Fatalities using Structural Topic Modeling 利用结构主题模型识别儿童死亡和险些死亡事件的潜在主题

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.078

引用次数: 0

Fostering the use of reflective learning strategies in teaching big data analytics and data science: Enhancing the quality of epidemiological evidence and decision-making 促进在大数据分析和数据科学教学中使用反思性学习策略：提高流行病学证据和决策的质量

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.052

引用次数: 0

Trends in hospital births diagnosed with Neonatal Abstinence Syndrome (NAS) during the COVID-19 pandemic in the US 在美国 COVID-19 大流行期间，经医院诊断患有新生儿禁食综合症 (NAS) 的新生儿趋势

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.061

引用次数: 0

Social determinants of health to predict type 2 diabetes 预测 2 型糖尿病的健康社会决定因素

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.04.014

{"title":"Social determinants of health to predict type 2 diabetes","authors":"","doi":"10.1016/j.annepidem.2024.04.014","DOIUrl":"10.1016/j.annepidem.2024.04.014","url":null,"abstract":"<div><h3>Purpose</h3><p>Though, type 2 diabetes (T2DM) is largely genetically heritable, several environmental factors could contribute to the occurrence of T2DM. The current study employed machine learning (ML) algorithms to predict the risk of T2DM using the social determinants of health reported in the All of Us Research Program Data.</p></div><div><h3>Methods</h3><p>Data were sourced from the All of Us Research Program. All patients with a complete record of the social determinants of health survey were included in the analysis. The participants were categorized based on history of diabetes (case = 1) and without history of diabetes (case = 0). The major ML models tested were gradient boost model, RandomForest model, and support vector machines. The model performance measures include accuracy, precision, and recall. Feature importance was evaluated based on the mean decrease in accuracy score, an output from the best model.</p></div><div><h3>Results</h3><p>Overall, the social determinants of health were able to improve the performance of the ML models to predict the risk of T2DM. The accuracy of the ML models was in the range of 88%–92%. The sensitivity of all the models were more-than 90%. Also, important features out of the social determinants, were reported as predictors of T2DM.</p></div><div><h3>Conclusion</h3><p>The social determinants of health reported in the All of Us dataset were able to predict the risk of diabetes using machine learning algorithms. These factors could be used to screen patients with a risk of T2DM.</p></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141280851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Causal analysis of PFAS exposure and cardiovascular risk using double/debiased machine learning 利用双重/偏差机器学习对 PFAS 暴露和心血管风险进行因果分析

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.050

引用次数: 0

Fostering Collaborative Solutions for Chronic Disease Prevention: Harnessing Partnerships to Advance Public Health 促进慢性病预防的合作解决方案：利用伙伴关系促进公共卫生

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.040

引用次数: 0

Trends and racial disparities of heart failure mortality in the United States 美国心力衰竭死亡率的趋势和种族差异

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.083

引用次数: 0

Caste disparities in medical sterilization regret among women in India 印度妇女医疗绝育遗憾中的种姓差异

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.066

引用次数: 0