Showing 1 - 6 results of 6 for search 'Anoop D Shah', query time: 0.01s Refine Results
  1. 1
    Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.

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

    Published 2012-01-01
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  2. 2
    Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database.

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

    Published 2023-01-01
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  3. 3
    Threshold haemoglobin levels and the prognosis of stable coronary disease: two new cohorts and a systematic review and meta-analysis.

    Threshold haemoglobin levels and the prognosis of stable coronary disease: two new cohorts and a systematic review and meta-analysis. by Anoop D Shah, Owen Nicholas, Adam D Timmis, Gene Feder, Keith R Abrams, Ruoling Chen, Aroon D Hingorani, Harry Hemingway

    Published 2011-05-01
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  4. 4
    Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.

    Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. by Katherine I Morley, Joshua Wallace, Spiros C Denaxas, Ross J Hunter, Riyaz S Patel, Pablo Perel, Anoop D Shah, Adam D Timmis, Richard J Schilling, Harry Hemingway

    Published 2014-01-01
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  5. 5
    A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank

    A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank by Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai Ytsma, Chris Tomlinson, Natalie K. Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco-Zanini, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan, Claudia Langenberg, Georgios Lyratzopoulos, R. Thomas Lumbers, Maik Pietzner, Anoop D. Shah, Johan H. Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm, Spiros Denaxas

    Published 2025-07-01
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  6. 6
    Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: A cohort study.

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

    Published 2022-02-01
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