Rezultati pretrage - Shah, Anoop D

The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records od Shah, Anoop D, Martinez, Carlos, Hemingway, Harry

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Understanding lactic acidosis in paracetamol (acetaminophen) poisoning od Shah, Anoop D, Wood, David M, Dargan, Paul I

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Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study od Shah, Anoop D., Bartlett, Jonathan W., Carpenter, James, Nicholas, Owen, Hemingway, Harry

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Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death od Shah, Anoop D., Bailey, Emily, Williams, Tim, Denaxas, Spiros, Dobson, Richard, Hemingway, Harry

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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease od Steele, Andrew J., Denaxas, Spiros C., Shah, Anoop D., Hemingway, Harry, Luscombe, Nicholas M.

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Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning od Wang, Zhuoran, Shah, Anoop D., Tate, A. Rosemary, Denaxas, Spiros, Shawe-Taylor, John, Hemingway, Harry

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Threshold Haemoglobin Levels and the Prognosis of Stable Coronary Disease: Two New Cohorts and a Systematic Review and Meta-Analysis od Shah, Anoop D., Nicholas, Owen, Timmis, Adam D., Feder, Gene, Abrams, Keith R., Chen, Ruoling, Hingorani, Aroon D., Hemingway, Harry

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A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems od Denaxas, Spiros, Shah, Anoop D, Mateen, Bilal A, Kuan, Valerie, Quint, Jennifer K, Fitzpatrick, Natalie, Torralbo, Ana, Fatemifar, Ghazaleh, Hemingway, Harry

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Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER) od Denaxas, Spiros C, George, Julie, Herrett, Emily, Shah, Anoop D, Kalra, Dipak, Hingorani, Aroon D, Kivimaki, Mika, Timmis, Adam D, Smeeth, Liam, Hemingway, Harry

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Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank od Patel, Riyaz S., Denaxas, Spiros, Howe, Laurence J., Eggo, Rosalind M., Shah, Anoop D., Allen, Naomi E., Danesh, John, Hingorani, Aroon, Sudlow, Cathie, Hemingway, Harry

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Using electronic health records to predict costs and outcomes in stable coronary artery disease od Asaria, Miqdad, Walker, Simon, Palmer, Stephen, Gale, Chris P, Shah, Anoop D, Abrams, Keith R, Crowther, Michael, Manca, Andrea, Timmis, Adam, Hemingway, Harry, Sculpher, Mark

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Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records od Bell, Steven, Daskalopoulou, Marina, Rapsomaniki, Eleni, George, Julie, Britton, Annie, Bobak, Martin, Casas, Juan P, Dale, Caroline E, Denaxas, Spiros, Shah, Anoop D, Hemingway, Harry

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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances od Velupillai, Sumithra, Suominen, Hanna, Liakata, Maria, Roberts, Angus, Shah, Anoop D., Morley, Katherine, Osborn, David, Hayes, Joseph, Stewart, Robert, Downs, Johnny, Chapman, Wendy, Dutta, Rina

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Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation od Morley, Katherine I., Wallace, Joshua, Denaxas, Spiros C., Hunter, Ross J., Patel, Riyaz S., Perel, Pablo, Shah, Anoop D., Timmis, Adam D., Schilling, Richard J., Hemingway, Harry

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Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people od Rapsomaniki, Eleni, Timmis, Adam, George, Julie, Pujades-Rodriguez, Mar, Shah, Anoop D, Denaxas, Spiros, White, Ian R, Caulfield, Mark J, Deanfield, John E, Smeeth, Liam, Williams, Bryan, Hingorani, Aroon, Hemingway, Harry

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Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population‐based linked electronic health record cohort study in 2.1 million peop... od Koudstaal, Stefan, Pujades‐Rodriguez, Mar, Denaxas, Spiros, Gho, Johannes M.I.H., Shah, Anoop D., Yu, Ning, Patel, Riyaz S., Gale, Chris P., Hoes, Arno W., Cleland, John G., Asselbergs, Folkert W., Hemingway, Harry

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Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis od Pasea, Laura, Chung, Sheng-Chia, Pujades-Rodriguez, Mar, Shah, Anoop D., Alvarez-Madrazo, Samantha, Allan, Victoria, Teo, James T., Bean, Daniel, Sofat, Reecha, Dobson, Richard, Banerjee, Amitava, Patel, Riyaz S., Timmis, Adam, Denaxas, Spiros, Hemingway, Harry

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An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors od Gho, Johannes M I H, Schmidt, Amand F, Pasea, Laura, Koudstaal, Stefan, Pujades-Rodriguez, Mar, Denaxas, Spiros, Shah, Anoop D, Patel, Riyaz S, Gale, Chris P, Hoes, Arno W, Cleland, John G, Hemingway, Harry, Asselbergs, Folkert W

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Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Col... od Shah, Anoop D., MacCallum, Niall S., Harris, Steve, Brealey, David A., Palmer, Edward, Hetherington, James, Shi, Sinan, Perez-Suarez, David, Ercole, Ari, Watkinson, Peter J., Jones, Andrew, Ashworth, Simon, Beale, Richard, Brett, Stephen J., Singer, Mervyn

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UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER od Denaxas, Spiros, Gonzalez-Izquierdo, Arturo, Direk, Kenan, Fitzpatrick, Natalie K, Fatemifar, Ghazaleh, Banerjee, Amitava, Dobson, Richard J B, Howe, Laurence J, Kuan, Valerie, Lumbers, R Tom, Pasea, Laura, Patel, Riyaz S, Shah, Anoop D, Hingorani, Aroon D, Sudlow, Cathie, Hemingway, Harry

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