{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T08:48:47Z","timestamp":1772268527891,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T00:00:00Z","timestamp":1641168000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T00:00:00Z","timestamp":1641168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s12021-021-09553-4","type":"journal-article","created":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T18:04:27Z","timestamp":1641233067000},"page":"483-505","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0866-8617","authenticated-orcid":false,"given":"Cailey I.","family":"Kerley","sequence":"first","affiliation":[]},{"given":"Shikha","family":"Chaganti","sequence":"additional","affiliation":[]},{"given":"Tin Q.","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Camilo","family":"Bermudez","sequence":"additional","affiliation":[]},{"given":"Laurie E.","family":"Cutting","sequence":"additional","affiliation":[]},{"given":"Lori L.","family":"Beason-Held","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Lasko","sequence":"additional","affiliation":[]},{"given":"Bennett A.","family":"Landman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,3]]},"reference":[{"key":"9553_CR1","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1067\/mge.2002.121881","volume":"55","author":"NA Ahmad","year":"2002","unstructured":"Ahmad, N. A., Kochman, M. L., Long, W. B., Furth, E. E., & Ginsberg, G. G. (2002). Efficacy, safety, and clinical outcomes of endoscopic mucosal resection: A study of 101 cases. Gastrointestinal Endoscopy, 55, 390\u2013396. https:\/\/doi.org\/10.1067\/mge.2002.121881","journal-title":"Gastrointestinal Endoscopy"},{"key":"9553_CR2","unstructured":"Bastarache, L., Denny, J. C. (2011). The Use of ICD-9 Codes in Genetic Association Studies. In: AMIA Annual Symposium Proceedings, p 1738"},{"key":"9553_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/jcpe.12086.Discovering","volume":"40","author":"MR Boland","year":"2014","unstructured":"Boland, M. R., Hripcsak, G., Albers, D. J., Wei, Y., Wilcox, A. B., Wei, J., Li, J., Lin, S., Breene, M., Myers, R., Zimmerman, J., Papapanou, P. N., & Weng, C. (2014). Discovering medical conditions associated with periodontitis using linked electronic health records. Journal of Clinical Periodontology, 40, 1\u201319. https:\/\/doi.org\/10.1111\/jcpe.12086.Discovering","journal-title":"Journal of Clinical Periodontology"},{"key":"9553_CR4","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1542\/peds.2011-1605","volume":"128","author":"MJ Bull","year":"2011","unstructured":"Bull, M. J., Saal, H. M., Braddock, S. R., Enns, G. M., Gruen, J. R., Perrin, J. M., Saul, R. A., Tarini, B. A., Hersh, J. H., Mendelsohn, N. J., Hanson, J. W., Lloyd-Puryear, M. A., Musci, T. J., Rasmussen, S. A., Downs, S. M., & Spire, P. (2011). Clinical report - Health supervision for children with Down syndrome. Pediatrics, 128, 393\u2013406. https:\/\/doi.org\/10.1542\/peds.2011-1605","journal-title":"Pediatrics"},{"key":"9553_CR5","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1093\/bioinformatics\/btu197","volume":"30","author":"RJ Carroll","year":"2014","unstructured":"Carroll, R. J., Bastarache, L., & Denny, J. C. (2014). R PheWAS: Data analysis and plotting tools for phenome-wide association studies in the R environment. Bioinformatics, 30, 2375\u20132376. https:\/\/doi.org\/10.1093\/bioinformatics\/btu197","journal-title":"Bioinformatics"},{"key":"9553_CR6","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1017\/9781316671849.008","volume":"23","author":"S Chaganti","year":"2019","unstructured":"Chaganti, S., Mawn, L. A., Kang, H., Egan, J., Resnick, S. M., Beason-Held, L. L., Landman, B. A., & Lasko, T. A. (2019a). Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J Biomed Heal INFORMATICS, 23, 2052\u20132062. https:\/\/doi.org\/10.1017\/9781316671849.008","journal-title":"IEEE J Biomed Heal INFORMATICS"},{"key":"9553_CR7","doi-asserted-by":"crossref","unstructured":"Chaganti, S., Robinson, J. R., Bermudez, C., Lasko, T., Mawn, L. A., Landman, B. A. (2017). EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function. In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support,\u00a0pp 373\u2013381.","DOI":"10.1007\/978-3-319-67558-9_43"},{"key":"9553_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0225495","volume":"14","author":"S Chaganti","year":"2019","unstructured":"Chaganti, S., Welty, V. F., Taylor, W., Albert, K., Failla, M. D., Cascio, C., et al. (2019). Discovering novel disease comorbidities using electronic medical records. PLoS One, 14, 1\u201314. https:\/\/doi.org\/10.1371\/journal.pone.0225495","journal-title":"PLoS One"},{"key":"9553_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.jbi.2014.02.003","volume":"52","author":"I Danciu","year":"2014","unstructured":"Danciu, I., Cowan, J. D., Basford, M., Wang, X., Saip, A., Osgood, S., Shirey-Rice, J., Kirby, J., & Harris, P. A. (2014). Secondary use of clinical data: The Vanderbilt approach. Journal of Biomedical Informatics, 52, 28\u201335. https:\/\/doi.org\/10.1016\/j.jbi.2014.02.003","journal-title":"Journal of Biomedical Informatics"},{"key":"9553_CR10","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1016\/j.pcl.2008.07.001","volume":"55","author":"MA Davidson","year":"2008","unstructured":"Davidson, M. A. (2008). Primary Care for Children and Adolescents with Down Syndrome. Pediatric Clinics of North America, 55, 1099\u20131111. https:\/\/doi.org\/10.1016\/j.pcl.2008.07.001","journal-title":"Pediatric Clinics of North America"},{"key":"9553_CR11","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1038\/nbt.2749","volume":"31","author":"JC Denny","year":"2013","unstructured":"Denny, J. C., Bastarache, L., Ritchie, M. D., Carroll, R. J., Zink, R., Mosley, J. D., Field, J. R., Pulley, J. M., Ramirez, A. H., Bowton, E., Basford, M. A., Carrell, D. S., Peissig, P. L., Kho, A. N., Pacheco, J. A., Rasmussen, L. V., Crosslin, D. R., Crane, P. K., Pathak, J., \u2026 Roden, D. M. (2013). Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotechnology, 31, 1102\u20131110. https:\/\/doi.org\/10.1038\/nbt.2749","journal-title":"Nature Biotechnology"},{"key":"9553_CR12","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.ajhg.2011.09.008","volume":"89","author":"JC Denny","year":"2011","unstructured":"Denny, J. C., Crawford, D. C., Ritchie, M. D., Bielinski, S. J., Basford, M. A., Bradford, Y., Chai, H. S., Bastarache, L., Zuvich, R., Peissig, P., Carrell, D., Ramirez, A. H., Pathak, J., Wilke, R. A., Rasmussen, L., Wang, X., Pacheco, J. A., Kho, A. N., Hayes, M. G., \u2026 De Andrade, M. (2011). Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: Using electronic medical records for genome- and phenome-wide studies. American Journal of Human Genetics, 89, 529\u2013542. https:\/\/doi.org\/10.1016\/j.ajhg.2011.09.008","journal-title":"American Journal of Human Genetics"},{"key":"9553_CR13","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1093\/bioinformatics\/btq126","volume":"26","author":"JC Denny","year":"2010","unstructured":"Denny, J. C., Ritchie, M. D., Basford, M. A., Pulley, J. M., Bastarache, L., Brown-Gentry, K., Wang, D., Masys, D. R., Roden, D. M., & Crawford, D. C. (2010). PheWAS: Demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics, 26, 1205\u20131210. https:\/\/doi.org\/10.1093\/bioinformatics\/btq126","journal-title":"Bioinformatics"},{"key":"9553_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0186405","volume":"12","author":"MG Ehm","year":"2017","unstructured":"Ehm, M. G., Aponte, J. L., Chiano, M. N., Yerges-Armstrong, L. M., Johnson, T., Barker, J. N., et al. (2017). Phenome-wide association study using research participants\u2019 self-reported data provides insight into the Th17 and IL-17 pathway. PLoS One, 12, 1\u201314. https:\/\/doi.org\/10.1371\/journal.pone.0186405","journal-title":"PLoS One"},{"key":"9553_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.xhgg.2020.100018","volume":"2","author":"eMERGE Consortium","year":"2021","unstructured":"eMERGE Consortium. (2021). Lessons learned from the eMERGE Network: Balancing genomics in discovery and practice. Hum Genet Genomics Adv, 2, 100018. https:\/\/doi.org\/10.1016\/j.xhgg.2020.100018","journal-title":"Hum Genet Genomics Adv"},{"key":"9553_CR16","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1158\/1055-9965.EPI-16-0212","volume":"25","author":"EA Engels","year":"2016","unstructured":"Engels, E. A., Parsons, R., Besson, C., Morton, L. M., Enewold, L., Ricker, W., Yanik, E. L., Arem, H., Austin, A. A., & Pfeiffer, R. M. (2016). Comprehensive evaluation of medical conditions associated with risk of non-Hodgkin lymphoma using medicare claims (\u201cMedWAS\u201d). Cancer Epidemiology, Biomarkers & Prevention, 25, 1105\u20131113. https:\/\/doi.org\/10.1158\/1055-9965.EPI-16-0212","journal-title":"Cancer Epidemiology, Biomarkers & Prevention"},{"key":"9553_CR17","first-page":"189","volume":"2012","author":"RS Evans","year":"2012","unstructured":"Evans, R. S., Lloyd, J. F., & Pierce, L. A. (2012). Clinical use of an enterprise data warehouse. American Medical Informatics Association Annual Symposium Proceedings, 2012, 189\u2013198.","journal-title":"American Medical Informatics Association Annual Symposium Proceedings"},{"key":"9553_CR18","unstructured":"HCUP CCS-Services and Procedures. (2018).\u00a0Healthcare Cost and Utilization Project."},{"key":"9553_CR19","unstructured":"Healthcare Cost and Utilization Project Overview of the National (Nationwide) Inpatient Sample (NIS). (2021a). https:\/\/www.hcup-us.ahrq.gov\/nisoverview.jsp"},{"key":"9553_CR20","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1111\/imm.12195","volume":"141","author":"SJ Hebbring","year":"2014","unstructured":"Hebbring, S. J. (2014). The challenges, advantages and future of phenome-wide association studies. Immunology, 141, 157\u2013165. https:\/\/doi.org\/10.1111\/imm.12195","journal-title":"Immunology"},{"key":"9553_CR21","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1038\/gene.2013.2","volume":"14","author":"SJ Hebbring","year":"2013","unstructured":"Hebbring, S. J., Schrodi, S. J., Ye, Z., Zhou, Z., Page, D., & Brilliant, M. H. (2013). A PheWAS approach in studying HLA-DRB1*1501. Genes and Immunity, 14, 187\u2013191. https:\/\/doi.org\/10.1038\/gene.2013.2","journal-title":"Genes and Immunity"},{"key":"9553_CR22","doi-asserted-by":"publisher","first-page":"9362","DOI":"10.1073\/pnas.0903103106","volume":"106","author":"LA Hindorff","year":"2009","unstructured":"Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009). Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A, 106, 9362\u20139367. https:\/\/doi.org\/10.1073\/pnas.0903103106","journal-title":"Proc Natl Acad Sci U S A"},{"key":"9553_CR23","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1137\/0202019","volume":"2","author":"JE Hopcroft","year":"1973","unstructured":"Hopcroft, J. E., & Karp, R. M. (1973). An n5\/2 Algorithm for Maximum Matchings in Bipartite Graphs. SIAM Journal on Computing, 2, 225\u2013231. https:\/\/doi.org\/10.1137\/0202019","journal-title":"SIAM Journal on Computing"},{"key":"9553_CR24","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1136\/amiajnl-2012-001145","volume":"20","author":"G Hripcsak","year":"2013","unstructured":"Hripcsak, G., & Albers, D. J. (2013). Next-generation phenotyping of electronic health records. J Am Med Informatics Assoc, 20, 117\u2013121. https:\/\/doi.org\/10.1136\/amiajnl-2012-001145","journal-title":"J Am Med Informatics Assoc"},{"key":"9553_CR25","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MCSE.2007.55","volume":"9","author":"JD Hunter","year":"2007","unstructured":"Hunter, J. D. (2007). Matplotlib\u202f: A 2D Graphics Environment. Comput Sci Eng, 9, 90\u201395.","journal-title":"Comput Sci Eng"},{"key":"9553_CR26","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.1093\/jamia\/ocv202","volume":"23","author":"JC Kirby","year":"2016","unstructured":"Kirby, J. C., Speltz, P., Rasmussen, L. V., Basford, M., Gottesman, O., Peissig, P. L., Pacheco, J. A., Tromp, G., Pathak, J., Carrell, D. S., Ellis, S. B., Lingren, T., Thompson, W. K., Savova, G., Haines, J., Roden, D. M., Harris, P. A., & Denny, J. C. (2016). PheKB: A catalog and workflow for creating electronic phenotype algorithms for transportability. J Am Med Informatics Assoc, 23, 1046\u20131052. https:\/\/doi.org\/10.1093\/jamia\/ocv202","journal-title":"J Am Med Informatics Assoc"},{"key":"9553_CR27","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1136\/annrheumdis-2017-212534","volume":"77","author":"X Li","year":"2018","unstructured":"Li, X., Meng, X., Spiliopoulou, A., Timofeeva, M., Wei, W. Q., Gifford, A., Shen, X., He, Y., Varley, T., McKeigue, P., Tzoulaki, I., Wright, A. F., Joshi, P., Denny, J. C., Campbell, H., & Theodoratou, E. (2018). MR-PheWAS: Exploring the causal effect of SUA level on multiple disease outcomes by using genetic instruments in UK biobank. Annals of the Rheumatic Diseases, 77, 1039\u20131047. https:\/\/doi.org\/10.1136\/annrheumdis-2017-212534","journal-title":"Annals of the Rheumatic Diseases"},{"key":"9553_CR28","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1136\/jmedgenet-2016-103867","volume":"53","author":"J Liu","year":"2016","unstructured":"Liu, J., Ye, Z., Mayer, J. G., Hoch, B. A., Green, C., Rolak, L., Cold, C., Khor, S. S., Zheng, X., Miyagawa, T., Tokunaga, K., Brilliant, M. H., & Hebbring, S. J. (2016). Phenome-wide association study maps new diseases to the human major histocompatibility complex region. Journal of Medical Genetics, 53, 681\u2013689. https:\/\/doi.org\/10.1136\/jmedgenet-2016-103867","journal-title":"Journal of Medical Genetics"},{"key":"9553_CR29","doi-asserted-by":"publisher","first-page":"e119","DOI":"10.1136\/amiajnl-2011-000508","volume":"19","author":"SL MacKenzie","year":"2012","unstructured":"MacKenzie, S. L., Wyatt, M. C., Schuff, R., Tenenbaum, J. D., & Anderson, N. (2012). Practices and perspectives on building integrated data repositories: Results from a 2010 CTSA survey. J Am Med Informatics Assoc, 19, e119\u2013e124. https:\/\/doi.org\/10.1136\/amiajnl-2011-000508","journal-title":"J Am Med Informatics Assoc"},{"key":"9553_CR30","doi-asserted-by":"publisher","first-page":"1620","DOI":"10.1111\/j.1475-6773.2005.00444.x","volume":"40","author":"KJ O\u2019Malley","year":"2005","unstructured":"O\u2019Malley, K. J., Cook, K. F., Price, M. D., Wildes, K. R., Hurdle, J. F., & Ashton, C. M. (2005). Measuring diagnoses: ICD code accuracy. Health Services Research, 40, 1620\u20131639. https:\/\/doi.org\/10.1111\/j.1475-6773.2005.00444.x","journal-title":"Health Services Research"},{"key":"9553_CR31","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Alexandre, P., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, E. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"key":"9553_CR32","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1002\/gepi.20589","volume":"35","author":"SA Pendergrass","year":"2011","unstructured":"Pendergrass, S. A., Brown-Gentry, K., Dudek, S. M., Torstenson, E. S., Ambite, J. L., Avery, C. L., Buyske, S., Cai, C., Fesinmeyer, M. D., Haiman, C., Heiss, G., Hindorff, L. A., Hsu, C. N., Jackson, R. D., Kooperberg, C., Le Marchand, L., Lin, Y., Matise, T. C., Moreland, L., \u2026 Ritchie, M. D. (2011). The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery. Genetic Epidemiology, 35, 410\u2013422. https:\/\/doi.org\/10.1002\/gepi.20589","journal-title":"Genetic Epidemiology"},{"key":"9553_CR33","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1016\/j.mayocp.2012.08.012","volume":"87","author":"WA Rocca","year":"2012","unstructured":"Rocca, W. A., Yawn, B. P., & St. Sauver JL, Grossardt BR, Melton LJ,. (2012). History of the Rochester epidemiology project: Half a century of medical records linkage in a US population. Mayo Clinic Proceedings, 87, 1202\u20131213. https:\/\/doi.org\/10.1016\/j.mayocp.2012.08.012","journal-title":"Mayo Clinic Proceedings"},{"key":"9553_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1197\/jamia.M2273","volume":"14","author":"C Safran","year":"2007","unstructured":"Safran, C., Bloomrosen, M., Hammond, W. E., Labkoff, S., Markel-Fox, S., Tang, P. C., & Detmer, D. E. (2007). Toward a National Framework for the Secondary Use of Health Data: An American Medical Informatics Association White Paper. J Am Med Informatics Assoc, 14, 1\u20139. https:\/\/doi.org\/10.1197\/jamia.M2273","journal-title":"J Am Med Informatics Assoc"},{"key":"9553_CR35","doi-asserted-by":"crossref","unstructured":"Seabold, S., Perktold, J. (2010). Statsmodels: Econometric and Statistical Modeling with Python. In: PROC. OF THE 9th PYTHON IN SCIENCE CONF. pp 92\u201396","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"9553_CR36","doi-asserted-by":"publisher","unstructured":"Simonti, C. N., Vernot, B., Bastarache, L., Bottinger, E., Carrell, D. S., Chisholm, R. L., Crosslin, D. R., Hebbring, S. J., Jarvik, G. P., Kullo, I. J, Li, R., Pathak, J., Ritchie, M. D., Roden, D. M., Verma, S. S., Tromp, G., Prato, J. D., Bush, W. S., Akey, J. M., Denny, J. C., Capra, J. A. (2016). The phenotypic legacy of admixture between modern humans and Neandertals. Science (80- ) 351:737\u2013741. https:\/\/doi.org\/10.1126\/science.aad2149","DOI":"10.1126\/science.aad2149"},{"key":"9553_CR37","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1136\/bmj.325.7378.1437","volume":"325","author":"GD Smith","year":"2002","unstructured":"Smith, G. D., & Ebrahim, S. (2002). Data dredging, bias, or confounding. British Medical Journal, 325, 1437\u20131438. https:\/\/doi.org\/10.1136\/bmj.325.7378.1437","journal-title":"British Medical Journal"},{"key":"9553_CR38","unstructured":"Utah Population Database. (2021b). https:\/\/uofuhealth.utah.edu\/huntsman\/utah-population-database\/"},{"key":"9553_CR39","first-page":"1441","volume":"2012","author":"JL Warner","year":"2012","unstructured":"Warner, J. L., & Alterovitz, G. (2012). Phenome based analysis as a means for discovering context dependent clinical reference ranges. American Medical Informatics Association Annual Symposium Proceedings, 2012, 1441\u20131449.","journal-title":"American Medical Informatics Association Annual Symposium Proceedings"},{"key":"9553_CR40","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1136\/amiajnl-2012-001355","volume":"20","author":"JL Warner","year":"2013","unstructured":"Warner, J. L., Alterovitz, G., Bodio, K., & Joyce, R. M. (2013). External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma. J Am Med Informatics Assoc, 20, 696\u2013699. https:\/\/doi.org\/10.1136\/amiajnl-2012-001355","journal-title":"J Am Med Informatics Assoc"},{"key":"9553_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0175508","volume":"12","author":"W-Q Wei","year":"2017","unstructured":"Wei, W.-Q., Bastarache, L. A., Carroll, R. J., Marlo, J. E., Osterman, T. J., Gamazon, E. R., et al. (2017a). Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PLoS One, 12, 1\u201316. https:\/\/doi.org\/10.1371\/journal.pone.0175508","journal-title":"PLoS One"},{"key":"9553_CR42","doi-asserted-by":"publisher","unstructured":"Wei, W.-Q., Bastarache, L. A., Carroll, R. J., Marlo, J. E., Osterman, T. J., Gamazon, E. R., Cox, N. J., Roden, D. M., & Denny, J. C. (2017b). Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PLoS One, 12, e0175508. https:\/\/doi.org\/10.1371\/journal.pone.0175508","DOI":"10.1371\/journal.pone.0175508"},{"key":"9553_CR43","doi-asserted-by":"publisher","DOI":"10.2196\/14325","volume":"7","author":"P Wu","year":"2019","unstructured":"Wu, P., Gifford, A., Meng, X., Li, X., Campbell, H., Varley, T., Zhao, J., Carroll, R., Bastarache, L., Denny, J. C., Theodoratou, E., & Wei, W.-Q. (2019a). Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Med Informatics, 7, e14325. https:\/\/doi.org\/10.2196\/14325","journal-title":"JMIR Med Informatics"},{"key":"9553_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/14325","volume":"21","author":"P Wu","year":"2019","unstructured":"Wu, P., Gifford, A., Meng, X., Li, X., Campbell, H., Varley, T., Zhao, J., Carroll, R., Bastarache, L., Denny, J. C., Theodoratou, E., & Wei, W. Q. (2019b). Mapping ICD-10 and ICD-10-CM codes to phecodes: Workflow development and initial evaluation. Journal of Medical Internet Research, 21, 1\u201313. https:\/\/doi.org\/10.2196\/14325","journal-title":"Journal of Medical Internet Research"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-021-09553-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12021-021-09553-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-021-09553-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T09:37:44Z","timestamp":1665135464000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12021-021-09553-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,3]]},"references-count":44,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["9553"],"URL":"https:\/\/doi.org\/10.1007\/s12021-021-09553-4","relation":{},"ISSN":["1539-2791","1559-0089"],"issn-type":[{"value":"1539-2791","type":"print"},{"value":"1559-0089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,3]]},"assertion":[{"value":"29 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}