vimarsana.com
Home
Live Updates
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study : vimarsana.com
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.
Related Keywords
United Kingdom
,
United States
,
Astra Zeneca
,
Sujin Kang
,
Arjun Nair
,
Stephen Duffy
,
Mortimer Health
,
National Lung Screening Trial
,
National Health Service
,
National Cancer Institute
,
Wellcome
,
Bristol Myers Squibb
,
Pfizer
,
National Science Foundation
,
Guardant Health
,
Us National Institutes Of Health
,
Us National Lung Screening
,
Research Council
,
Boehringer Ingelheim
,
Amgen
,
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
,
Medical Research Council
,
Merck Sharp
,
Lung Cancer Risk Assessment Tool
,
Lung Cancer Death Risk Assessment Tool
,
Liverpool Lung Project
,
Ovarian Cancer Screening Trial
,
Services Taskforce
,
United Kingdom Biobank Resource
,
Lung And Intrathoracic Tumors
,
Cancer Risk Factors
,
Cancer Screening
,
Machine Learning
,
Smoking Habits
,
Colorectal Cancer
,
Forecasting
,
Prostate Cancer
,
vimarsana.com © 2020. All Rights Reserved.