atrial fibrillation screening

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1
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial.
Hill, Nathan R;Arden, Chris;Beresford-Hulme, Lee;Camm, A John;Clifton, David;Davies, D Wyn;Farooqui,...
2020 contemporary clinical trials DOI: S1551-7144(20)30269-... 207 views
2
Machine Learning for Precision Medicine.
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The False positive problem of automatic bot detection in social science research.
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2020 PloS one DOI: 10.1371/journal.pone... 219 views
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OrganoidTracker: Efficient cell tracking using machine learning and manual error correction.
Kok, Rutger N U;Hebert, Laetitia;Huelsz-Prince, Guizela;Goos, Yvonne J;Zheng, Xuan;Bozek, Katarzyna;...
2020 PloS one DOI: 10.1371/journal.pone... 203 views
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CLINICAL CHARACTERISTICS AND PROGNOSTIC FACTORS FOR ICU ADMISSION OF PATIENTS WITH COVID-19: A RETROSPECTIVE STUDY USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING.
Izquierdo, Jose Luis;Ancochea, Julio;Soriano, Joan B;
2020 Journal of medical Internet research DOI: 10.2196/21801 207 views
6
Prediction of Malignant Breast Cancer Cases using Ensemble Machine Learning: A Case Study of Pesticides Prone Area.
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2020 ieee/acm transactions on computational biology and... DOI: 10.1109/TCBB.2020.30... 187 views
7
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.
Zhang, Nan;Wang, Mo;Xu, Heng;
2020 psychological methods DOI: 10.1037/met0000368 230 views
8
Target adverse event profiles for predictive safety in the post-market setting.
Schotland, Peter;Racz, Rebecca;Jackson, David B;Soldatos, Theodoros G;Levin, Robert;Strauss, David;B...
2020 clinical pharmacology and therapeutics DOI: 10.1002/cpt.2074 227 views

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