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A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank.

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Title: A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank.
Authors: Torralbo, Ana1 (AUTHOR) a.torralbo@ucl.ac.uk, Davitte, Jonathan M.2 (AUTHOR), Croteau-Chonka, Damien C.3 (AUTHOR), Ytsma, Cai1 (AUTHOR), Tomlinson, Chris1,4 (AUTHOR), Fitzpatrick, Natalie K.1,5 (AUTHOR), Chung, Sheng-Chia6 (AUTHOR), Fatemifar, Ghazaleh1,7 (AUTHOR), Cortes, Adrian S.8 (AUTHOR), Richardson, Tom G.9 (AUTHOR), Barclay, Matthew10 (AUTHOR), Carrasco-Zanini, Julia11 (AUTHOR), Finan, Chris6 (AUTHOR), Hemingway, Harry1,12 (AUTHOR), Hingorani, Aroon D.6 (AUTHOR), Kuan, Valerie6 (AUTHOR), Langenberg, Claudia11,13 (AUTHOR), Lyratzopoulos, Georgios10 (AUTHOR), Lumbers, R. Thomas1 (AUTHOR), Pietzner, Maik11,13 (AUTHOR)
Source: Scientific Reports. 7/9/2025, Vol. 15 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 7/9/2025, Vol. 15 Issue 1, p1-17. 17p.
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