Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study.

Richard SavageMike MessengerRichard D NealRosie FergusonColin JohnstonKatherine L LloydMatthew D NealNigel SansomPeter SelbyNisha SharmaBethany ShinkinsJim R SkinnerGiles TullySean DuffyGeoff Hall

Published in: BMJ open (2022)

Combining a panel of widely available blood markers produces effective blood tests for cancer for NHS 2WW patients. The tests are affordable, and can be deployed rapidly to any NHS pathology laboratory with no additional hardware requirements.

Keyphrases

machine learning
primary care
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
prognostic factors
papillary thyroid
patient safety
patient reported outcomes
squamous cell carcinoma
artificial intelligence
young adults
big data
lymph node metastasis