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

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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 von Rapsomaniki, Eleni, Dr, Timmis, Adam, Prof, George, Julie, PhD, Pujades-Rodriguez, Mar, PhD, Shah, Anoop D, MRCP, Denaxas, Spiros, PhD, White, Ian R, PhD, Caulfield, Mark J, Prof, Deanfield, John E, Prof, Smeeth, Liam, Prof, Williams, Bryan, Prof, Hingorani, Aroon, Prof, Hemingway, Harry, Prof

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Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study von SHAH, Anoop D, BARTLETT, Jonathan W, CARPENTER, James, NICHOLAS, Owen, HEMINGWAY, Harry

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Symptoms and risk factors for long COVID in non-hospitalized adults von Subramanian, Anuradhaa, Nirantharakumar, Krishnarajah, Hughes, Sarah, Myles, Puja, Williams, Tim, Gokhale, Krishna M., Taverner, Tom, Chandan, Joht Singh, Brown, Kirsty, Simms-Williams, Nikita, Shah, Anoop D., Singh, Megha, Kidy, Farah, Okoth, Kelvin, Hotham, Richard, Bashir, Nasir, Cockburn, Neil, Lee, Siang Ing, Turner, Grace M., Gkoutos, Georgios V., Aiyegbusi, Olalekan Lee, McMullan, Christel, Denniston, Alastair K., Sapey, Elizabeth, Lord, Janet M., Wraith, David C., Leggett, Edward, Iles, Clare, Marshall, Tom, Price, Malcolm J., Marwaha, Steven, Davies, Elin Haf, Jackson, Louise J., Matthews, Karen L., Camaradou, Jenny, Calvert, Melanie, Haroon, Shamil

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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 von 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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Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: A cohort study von Kaura, Amit, Hartley, Adam, Panoulas, Vasileios, Glampson, Ben, Shah, Anoop S V, Davies, Jim, Mulla, Abdulrahim, Woods, Kerrie, Omigie, Joe, Shah, Anoop D, Thursz, Mark R, Elliott, Paul, Hemmingway, Harry, Williams, Bryan, Asselbergs, Folkert W, O'Sullivan, Michael, Lord, Graham M, Trickey, Adam, Sterne, Jonathan Ac, Haskard, Dorian O, Melikian, Narbeh, Francis, Darrel P, Koenig, Wolfgang, Shah, Ajay M, Kharbanda, Rajesh, Perera, Divaka, Patel, Riyaz S, Channon, Keith M, Mayet, Jamil, Khamis, Ramzi

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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database von Shah, Anoop D, Subramanian, Anuradhaa, Lewis, Jadene, Dhalla, Samir, Ford, Elizabeth, Haroon, Shamil, Kuan, Valerie, Nirantharakumar, Krishnarajah

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Digital technology and patient and public involvement (PPI) in routine care and clinical research-A pilot study von Chen, Yang, Hosin, Ali A, George, Marc J, Asselbergs, Folkert W, Shah, Anoop D

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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning von Wang, Zhuoran, Shah, Anoop D, Tate, A Rosemary, Denaxas, Spiros, Shawe-Taylor, John, Hemingway, Harry

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Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation von 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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Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank von 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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Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic von Poulos, Jordan, Zhu, Leilei, Shah, Anoop D.

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Prognostic significance of troponin in patients with malignancy (NIHR Health Informatics Collaborative TROP-MALIGNANCY study) von Samuel, Nathan A, Roddick, Alistair, Glampson, Ben, Mulla, Abdulrahim, Davies, Jim, Papadimitriou, Dimitri, Panoulas, Vasileios, Mayer, Erik, Woods, Kerrie, Shah, Anoop D, Gautama, Sanjay, Elliott, Paul, Hemmingway, Harry, Williams, Bryan, Asselbergs, Folkert W, Melikian, Narbeh, Kharbanda, Rajesh, Shah, Ajay M, Perera, Divaka, Patel, Riyaz S, Channon, Keith M, Mayet, Jamil, Shah, Anoop S V, Kaura, Amit

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An informatics consult approach for generating clinical evidence for treatment decisions von Lai, Alvina G., Chang, Wai Hoong, Parisinos, Constantinos A., Katsoulis, Michail, Blackburn, Ruth M., Shah, Anoop D., Nguyen, Vincent, Denaxas, Spiros, Davey Smith, George, Gaunt, Tom R., Nirantharakumar, Krishnarajah, Cox, Murray P., Forde, Donall, Asselbergs, Folkert W., Harris, Steve, Richardson, Sylvia, Sofat, Reecha, Dobson, Richard J. B., Hingorani, Aroon, Patel, Riyaz, Sterne, Jonathan, Banerjee, Amitava, Denniston, Alastair K., Ball, Simon, Sebire, Neil J., Shah, Nigam H., Foster, Graham R., Williams, Bryan, 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 von Shah, Anoop D, Bailey, Emily, Williams, Tim, Denaxas, Spiros, Dobson, Richard, Hemingway, Harry

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Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data von Soltani, Fardad, Jenkins, David A, Kaura, Amit, Bradley, Joshua, Black, Nicholas, Farrant, John P, Williams, Simon G, Mulla, Abdulrahim, Glampson, Benjamin, Davies, Jim, Papadimitriou, Dimitri, Woods, Kerrie, Shah, Anoop D, Thursz, Mark R, Williams, Bryan, Asselbergs, Folkert W, Mayer, Erik K, Herbert, Christopher, Grant, Stuart, Curzen, Nick, Squire, Iain, Johnson, Thomas, O'Gallagher, Kevin, Shah, Ajay M, Perera, Divaka, Kharbanda, Rajesh, Patel, Riyaz S, Channon, Keith M, Lee, Richard, Peek, Niels, Mayet, Jamil, Miller, Christopher A

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Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis von 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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The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records von Shah, Anoop D, Martinez, Carlos, Hemingway, Harry

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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances von 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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Prognostic significance of troponin level in 3121 patients presenting with atrial fibrillation (The NIHR Health Informatics Collaborative TROP-AF study) von Kaura, Amit, Arnold, Ahran D., Panoulas, Vasileios, Glampson, Benjamin, Davies, Jim, Mulla, Abdulrahim, Woods, Kerrie, Omigie, Joe, Shah, Anoop D., Channon, Keith M., Weber, Jonathan N., Thursz, Mark R., Elliott, Paul, Hemingway, Harry, Williams, Bryan, Asselbergs, Folkert W., O'Sullivan, Michael, Lord, Graham M., Melikian, Narbeh, Lefroy, David C., Francis, Darrel P., Shah, Ajay M., Kharbanda, Rajesh, Perera, Divaka, Patel, Riyaz S., Mayet, Jamil

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