Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine

Lung cancer is the leading cause of cancer death worldwide. Early detection of individuals at risk of lung cancer is critical to reduce the mortality rate. The aim of this study was to develop and validate a prospective risk prediction model to identify patients at risk of new incident lung cancer w...

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Veröffentlicht in:	Journal of medical Internet research 2019-05, Vol.21 (5), p.e13260
Hauptverfasser:	Wang, Xiaofang, Zhang, Yan, Hao, Shiying, Zheng, Le, Liao, Jiayu, Ye, Chengyin, Xia, Minjie, Wang, Oliver, Liu, Modi, Weng, Ching Ho, Duong, Son Q, Jin, Bo, Alfreds, Shaun T, Stearns, Frank, Kanov, Laura, Sylvester, Karl G, Widen, Eric, McElhinney, Doff B, Ling, Xuefeng B
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cancer Chronic diseases Chronic illnesses Cohort Studies Computerized medical records Diagnosis Early Detection of Cancer Electronic health records Electronic Health Records - trends Electronic records Female Health aspects Health information Health records Health risk assessment High risk Humans Incidence Information sharing Intensive care Intensive treatment Learning Lung cancer Lung Neoplasms - epidemiology Maine Male Medical diagnosis Medical records Mental disorders Mortality Mortality rates Oncology, Experimental Original Paper Population Prediction models Prevention Prospective Studies Retrospective Studies Risk factors Risk reduction Social aspects Surveillance Thresholds Type 2 diabetes Validity
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