Predicting Nonresponse to Sexual Identity Question in Youth Risk Behavior Surveillance: A Machine Learning Analysis of Complex Survey Data [0.03%]
青年行为风险监测中性取向问题不回答的预测：复杂调查数据的机器学习分析
Yu He,Chanapong Rojanaworarit
Yu He
Purpose: To compare seven machine learning (ML) models developed to predict non-response to the sexual identity question in the 2023 Youth Risk Behavior Surveillance System (YRBSS) and identify the best-performing ML mode...
Effect of World Trade Center Health Program on mortality among 9/11 responders [0.03%]
世贸中心健康计划对“9·11”救援人员死亡率的影响
Afroza Parvin,Rebecca D Kehm,Baozhen Qiao et al.
Afroza Parvin et al.
Purpose: The World Trade Center Health Program (WTCHP) plays a critical role in medical monitoring and treatment to those exposed to the terrorist attacks of September 11, 2001 (9/11). We investigated the association of W...
Careless and inconsistent reporting inflates suicidality prevalence and biases sex differences [0.03%]
粗心和不一致的报道夸大了自杀率并导致性别差异偏向
Romain Brisson
Romain Brisson
Purpose: This study examined how careless and inconsistent reporting affects adolescent suicidality prevalence and sex differences, a methodological issue often overlooked in self-report epidemiological research. ...
Machine learning-based LASSO-Cox model for dementia prediction: the role of midlife cardiometabolic, inflammatory, and genetic risk factors in a US cohort [0.03%]
基于机器学习的LASSO-Cox模型在痴呆预测中的应用：美国队列中中年心血管代謝、炎症和遗传危险因素的作用
Longjian Liu,Jintong Hou
Longjian Liu
Purpose: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. Methods: ...
Residential Mobility During Pregnancy and Birth Outcomes in the United States: The Environmental influences on Child Health Outcomes (ECHO) Cohort (2010-2019) [0.03%]
美国孕期期间的住宅流动性与儿童健康出生结局：环境对儿童健康影响课题（2010-2019）
Angela D&#x;Adamo,Amii M Kress,Rima Habre et al.
Angela D&#x;Adamo et al.
Purpose: To examine factors associated with moving during pregnancy and impacts of assigning nSES at enrollment, delivery, or a time-weighted average on birth outcomes (birthweight, birthweight-for-gestational-age z-score...
Towards reliable feature interpretation in machine learning-based longevity prediction [0.03%]
基于机器学习的寿命预测中可靠特征解释的研究
Souichi Oka,Yoshiki Takahashi,Yoshiyasu Takefuji
Souichi Oka
Response to "Towards reliable feature interpretation in machine learning-based longevity prediction" [0.03%]
关于“基于机器学习的长寿预测中的可靠特征解释”的回应
Dor Atias,Saar Ashri,Uri Goldbourt et al.
Dor Atias et al.
A multivariable model for improving the identification of cerebral palsy cases in administrative health data [0.03%]
一种改进行政健康数据中脑瘫病例识别的多变量模型
Peter M Socha,Maryam Oskoui,Jennifer A Hutcheon et al.
Peter M Socha et al.
Purpose: To improve the identification of cerebral palsy cases in administrative health data. Methods: We included all children in a po...
Emaan Rashidi,Madeline Brooks,Ahmed Hassoon et al.
Emaan Rashidi et al.
Epidemiology has long been central to public health, guiding our understanding of the distribution and determinants of disease. As the field has evolved-from John Snow's cholera investigations to large-scale cohort studies and causal infere...
Mediation learning module: Pedersen et al (2025), Associations of early life body size and pubertal timing with breast density and postmenopausal breast cancer risk: A mediation analysis [0.03%]
佩德森等(2025):生命早期体型与青春期发育时间对乳腺密度和绝经后乳腺癌风险的影响：一项中介分析学习模块
Jeb Jones
Jeb Jones
Educational Engagement Modules (EEMs) are teaching materials for educators and students that facilitate a deeper understanding of key epidemiological methods and concepts. Each EEM poses a series of questions using a recently published pape...