With the increasing proportion of people who have never smoked among lung cancer cases, there is a pressing need to develop prediction models to identify high-risk people who have never smoked and include them in lung cancer screening programs. Thus, our systematic review is intended to provide ...
More information:Martin C. Tammemägi et al. Selection Criteria for Lung-Cancer Screening,New England Journal of Medicine(2013).DOI: 10.1056/NEJMoa1211776 Martin C. Tammemägi et al. Development and Validation of a Multivariable Lung Cancer Risk Prediction Model That Includes Low-Dose Computed ...
Prediction model for lung cancer with multiple serum tumor markers: P1-003Prediction model for lung cancer with multiple serum tumor markers: P1-003An abstract is unavailable.doi:10.1097/01.JTO.0000283481.45829.ddHiroyuki KanedaYukihito SaitoTomohiro...
Objective To establish risk prediction models for lung cancer based on the data about epidemiological characteristics and clinical symptoms by data mining technology, and to evaluate the performance of each model so as to screen out the optimal predicti
A machine learning model equipped with only data on people's age, smoking duration and the number of cigarettes smoked per day can predict lung cancer risk and identify who needs lung cancer screening, according to a new study published in the open acces
Because existing risk prediction models for lung cancer were developed in white populations, they may not be appropriate for predicting risk among African-Americans. Therefore, a need exists to construct and validate a risk prediction model for lung cancer that is specific to African-Americans. We ...
We also compare the prevalence of never smokers between the three CISNET smoking scenarios and present the corresponding lung cancer mortality estimates among never smokers as predicted by a typical CISNET model. 展开 关键词: lung cancer never smokers risk prediction models ...
Lung cancer is the leading cause of cancer deaths in Korea. The objective of the present study was to develop an individualized risk prediction model for lung cancer in Korean men using population-based cohort data. From a population-based cohort study of 1,324,804 Korean men free of cancer...
Lung cancer risk prediction to select smokers for screening CT - a model based on the Italian COSMOS trial. Cancer Prev Res 2011; 4: 1778-1789... P.,Maisonneuve,V.,... - 《Cancer Prevention Research》 被引量: 119发表: 2011年 Development and Validation of Risk Models to Select Ever-Smo...
A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapyLONGITUDINAL methodLUNG cancerRESEARCH methodologyMORTALITYPROGNOSISBODY mass indexCHEMORADIOTHERAPYBackground: Early death after a treatment can be seen as a therapeutic failure. Accurate ...