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Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data

We extracted the stratified risk factors through DNN models. Fourth, we developed a quantitative analysis of the degree of effect of the risk factors in elderly patients.

Songjing Chen, Sizhu Wu

J Med Internet Res 2020;22(3):e17695

Risk Factors for Low Back Disorders in Saskatchewan Farmers: Field-based Exposure Assessment to Build a Foundation for Epidemiological Studies

Risk Factors for Low Back Disorders in Saskatchewan Farmers: Field-based Exposure Assessment to Build a Foundation for Epidemiological Studies

Epidemiological studies have identified some broad categories of working exposures that are probable risk factors for low back disorders in farmers.

Catherine Trask, Brenna Bath, Peter W Johnson, Kay Teschke

JMIR Res Protoc 2016;5(2):e111

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation

The marginal contribution fully explains the influence of all factors included in the model for model prediction and distinguishes the attributes of the factors (risk factors and protective factors).Finally, validation queue data were used to evaluate the prediction

Pan Pan, Yichao Li, Yongjiu Xiao, Bingchao Han, Longxiang Su, Mingliang Su, Yansheng Li, Siqi Zhang, Dapeng Jiang, Xia Chen, Fuquan Zhou, Ling Ma, Pengtao Bao, Lixin Xie

J Med Internet Res 2020;22(11):e23128

Risk Factors for Preterm Birth in Morocco, 2017

Risk Factors for Preterm Birth in Morocco, 2017

IPROCiprocIproceedings2369-6893JMIR PublicationsToronto, Canadav4i1e1055910.2196/10559AbstractAbstractRisk Factors for Preterm Birth in Morocco, 2017KhaderYousefOudrhiriFadouaBarkatAKhattabiAAssaragBCorresponding Author: Fadoua Oudrhiri f.oudrhiri@

Fadoua Oudrhiri, A Barkat, A Khattabi, B Assarag

iproc 2018;4(1):e10559