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Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study

Thomas Callender and colleagues present a development and validation study using parsimonious ensemble machine learning models to assess eligibility for lung cancer screening. ....

United Kingdom , United States , Astra Zeneca , Sujin Kang , Arjun Nair , Stephen Duffy , Mortimer Health , National Lung Screening Trial , National Health Service , National Cancer Institute , Bristol Myers Squibb , National Science Foundation , Guardant Health , Us National Institutes Of Health , Us National Lung Screening , Research Council , Boehringer Ingelheim , Us National Lung Screening Trial , Cancer Research United Kingdom , Us Preventive Services Taskforce , United Kingdom Biobank , Lung Screening , Lung Screening Trial , Cancer Screening Trial , Creative Commons Attribution License , Wellcome Trust ,

Experts Nearing To Predict Early-Stage Lung Cancer

Pioneering research led by the University of Liverpool is using molecular biology to analyse the blood and predict future lung cancer.The University’s Lung Cancer Research Group, in collaboration with Janssen Pharmaceutica NV (Janssen), have demonstr ....

United Kingdom , Cheshire Merseyside , Michael Davies , Paula Chadwick , University Of Liverpool , Steering Committee , Lung Health Check , Roy Castle Lung Cancer Foundation Senior Research , Roy Castle Lung Cancer Foundation , University Of Liverpool Prof John Field , University Of Liverpool Dr Michael Davies , Lung Health Checks , Liverpool Lung Project , University Lung Cancer Research Group , Lung Cancer Research Group , Janssen Pharmaceutica , Prof John Field , Molecular Oncology , United Kingdom Lung Cancer Screening Trial , Targeted Lung Health Checks , John Field , External Advisor ,

Scientists Closer to Predicting Early-Stage Lung Cancer

Scientists Closer to Predicting Early-Stage Lung Cancer
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Scientists ever closer to predicting early-stage lung cancer

Scientists ever closer to predicting early-stage lung cancer
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United Kingdom , Michael Davies , Michael Pa Davies , Paula Chadwick , Cheshire Merseyside , University Lung Cancer Research Group , Liverpool Lung Project , Lung Health Checks , Roy Castle Lung Cancer Foundation Senior Research , University Of Liverpool , University Of Liverpool Prof John Field , Lung Health Check , Steering Committee , Roy Castle Lung Cancer Foundation , University Of Liverpool Dr , Elastic Net , Random Forest , Support Vector Machine , Lung Cancer Research Group , Janssen Pharmaceutica , Prof John Field , Molecular Oncology , United Kingdom Lung Cancer Screening Trial , Targeted Lung Health Checks , John Field , External Advisor ,

Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models

The CanPredict (lung) model was developed, and internally and externally validated,
using data from 19·67 million people from two English primary care databases. Our
model has potential utility for risk stratification of the UK primary care population
and selection of individuals at high risk of lung cancer for targeted screening. If
our model is recommended to be implemented in primary care, each individual s risk
can be calculated using information in the primary care electronic health records,
and people at high risk can be identified for the lung cancer screening programme. ....

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