Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study
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Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancerEarly Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records.Identification of patients with non-metastatic colorectal cancer in primary care: a case-control study.Evaluation of a prediction model for colorectal cancer: retrospective analysis of 2.5 million patient records.Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigs.Machine learning of big data in gaining insight into successful treatment of hypertension.
P2860
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P2860
Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study
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2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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name
Development and validation of ...... binational retrospective study
@en
Development and validation of ...... inational retrospective study.
@nl
type
label
Development and validation of ...... binational retrospective study
@en
Development and validation of ...... inational retrospective study.
@nl
prefLabel
Development and validation of ...... binational retrospective study
@en
Development and validation of ...... inational retrospective study.
@nl
P2093
P2860
P356
P1476
Development and validation of ...... binational retrospective study
@en
P2093
Bernard Levin
Elizabeth E Half
Inbal Goldshtein
Nir Kalkstein
Pinchas Akiva
Varda Shalev
Yaron Kinar
P2860
P304
P356
10.1093/JAMIA/OCV195
P577
2016-02-15T00:00:00Z