 Connection
Michael Kahn to Algorithms
This is a "connection" page, showing publications Michael Kahn has written about Algorithms.
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Connection Strength |
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0.256 |
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Ong TC, Hill A, Kahn MG, Lembcke LR, Schilling LM, Grannis SJ. Linkability measures to assess the data characteristics for record linkage. J Am Med Inform Assoc. 2024 11 01; 31(11):2651-2659.
Score: 0.123
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Ong TC, Mannino MV, Schilling LM, Kahn MG. Improving record linkage performance in the presence of missing linkage data. J Biomed Inform. 2014 Dec; 52:43-54.
Score: 0.058
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Callahan TJ, Tripodi IJ, Stefanski AL, Cappelletti L, Taneja SB, Wyrwa JM, Casiraghi E, Matentzoglu NA, Reese J, Silverstein JC, Hoyt CT, Boyce RD, Malec SA, Unni DR, Joachimiak MP, Robinson PN, Mungall CJ, Cavalleri E, Fontana T, Valentini G, Mesiti M, Gillenwater LA, Santangelo B, Vasilevsky NA, Hoehndorf R, Bennett TD, Ryan PB, Hripcsak G, Kahn MG, Bada M, Baumgartner WA, Hunter LE. An open source knowledge graph ecosystem for the life sciences. Sci Data. 2024 04 11; 11(1):363.
Score: 0.030
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Wells BJ, Lenoir KM, Wagenknecht LE, Mayer-Davis EJ, Lawrence JM, Dabelea D, Pihoker C, Saydah S, Casanova R, Turley C, Liese AD, Standiford D, Kahn MG, Hamman R, Divers J. Detection of Diabetes Status and Type in Youth Using Electronic Health Records: The SEARCH for Diabetes in Youth Study. Diabetes Care. 2020 10; 43(10):2418-2425.
Score: 0.023
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Ong TC, Duca LM, Kahn MG, Crume TL. A hybrid approach to record linkage using a combination of deterministic and probabilistic methodology. J Am Med Inform Assoc. 2020 04 01; 27(4):505-513.
Score: 0.022
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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