{"id":213,"date":"2018-10-02T19:06:25","date_gmt":"2018-10-02T19:06:25","guid":{"rendered":"http:\/\/bricbigdata.bwh.harvard.edu\/?page_id=213"},"modified":"2018-10-31T21:19:27","modified_gmt":"2018-10-31T21:19:27","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/bricbigdata.bwh.harvard.edu\/?page_id=213","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"<p>[vc_row][vc_column][vc_column_text]<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4707569\/\">[1] Liao, Katherine P., et al. \u201cDevelopment of phenotype algorithms using electronic medical records and incorporating natural language processing.\u201d <\/a>bmj 350 (2015): h1885.<\/p>\n<p><a href=\"https:\/\/academic.oup.com\/jamia\/article\/22\/5\/993\/929941\">[2] Yu, Sheng, et al. \u201cToward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.\u201d<\/a> Journal of the American Medical Informatics Association 22.5 (2015): 993-1000.<\/p>\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27632993\">[3] Yu, Sheng, et al. \u201cSurrogate-assisted feature extraction for high-throughput phenotyping.\u201d<\/a> Journal of the American Medical Informatics Association 24.e1 (2016): e143-e149.<\/p>\n<p><a href=\"https:\/\/watermark.silverchair.com\/ocx111.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAkYwggJCBgkqhkiG9w0BBwagggIzMIICLwIBADCCAigGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMHoQPhfEj_koxWtaPAgEQgIIB-VNRDfDbkPBIpkPbBtHl9r58kRxU4mUvzWyxFJKZB5T548Y1GHdm9SDGBzf6NJiCuknDxZVEFDLNhRipiBYqsFtr2HolmZrix0wkj0MWTXS21VrewjvmHjr12QPp3BzSj9AOWvFPUSdc-JZQM7PgnEC9fY1y4vJsvX8k11E2g0qWy6SWbcNbt0Yzdi9rtjNPprFQmQotuuCGrVIsj2Rf6utpUbMPbSa-N6jLps2Lnhbfe3zXfEPLr60PrxtMZYEyU1SxdGll6SsLUsMLYAWpe-Z4xwvVnzo1Q4cDyF81T9yXb1aFQ1RaxDMZKt37sfgR1JS86MJdvKgsMUdU2ePMK7xpH5x0Atx-x0aWeh_wPZUX9uuDUjhHhjc1qmvHl2bo-Twrs1lPmcWI0dZMiztbUVEH7yh-YcHPFNoTGijLTm0swLT1HzNmuGX2L09Rbuavv_iSBzeswoWXsB2mld2HFTewfz5aLEnHJZJ42IVeunqfdecY20JDPT6Yg_ODpwjy4xIaJX-i0ROdFKNeAOOjV3j0b2b9FdLIDwjose5bk8zXdQeN0URVy-ClIpcolF3gD0IzwSzPKFLa_vhlqQY4hr-iCr6CO6ptSRy8J5SZbO3jP-DFUMUnufllNDauSMXJtWSV4nEWMssPHSByePC5tQQ-cZEALBviSxc\">[4] Yu, Sheng, et al. \u201cEnabling phenotypic big data with <\/a>PheNorm.\u201d Journal of the American Medical Informatics Association 25.1 (2017): 54-60.<\/p>\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30090940\">[5] Cai, Tianxi, et al. \u201cAssociation of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study.\u201d<\/a> JAMA cardiology (2018).<\/p>\n<p>&nbsp;<\/p>\n<p>(Upcoming Publications)<br \/>\n[1] MAP Paper<br \/>\n[2] Nature protocol for phenotyping pipeline<br \/>\n[3] Note ranking paper[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text][1] Liao, Katherine P., et al. \u201cDevelopment of phenotype algorithms using electronic medical records and incorporating natural language processing.\u201d bmj 350 (2015): h1885. [2] Yu, Sheng, et al. \u201cToward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.\u201d Journal of the American Medical Informatics Association 22.5 (2015): 993-1000. [3] Yu, Sheng, et al. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-213","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/pages\/213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=213"}],"version-history":[{"count":3,"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/pages\/213\/revisions"}],"predecessor-version":[{"id":272,"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=\/wp\/v2\/pages\/213\/revisions\/272"}],"wp:attachment":[{"href":"https:\/\/bricbigdata.bwh.harvard.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}