{"id":351,"date":"2018-12-01T21:27:12","date_gmt":"2018-12-01T15:57:12","guid":{"rendered":"https:\/\/cenacle.io\/?p=351"},"modified":"2026-02-07T13:54:02","modified_gmt":"2026-02-07T13:54:02","slug":"clinical-text-mining","status":"publish","type":"post","link":"https:\/\/gk.palem.in\/articles\/clinical-text-mining\/","title":{"rendered":"Clinical Text Mining"},"content":{"rendered":"\n<p>Personalized medicine requires the ability to create precision medicine based on the personal health records (EHR, EMR).<\/p>\n\n\n\n<p><em>Problem<\/em>:&nbsp; Customer needed a software platform for clinical concept extraction from patient case notes.<\/p>\n\n\n\n<p><em>Methodology<\/em>: Cenacle built an innovative solution based on the below methodology:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Natural Language Processing (NLP) to identify: diseases, symptoms, medications, procedures etc.<\/li>\n\n\n\n<li>Deep Learning Artificial Intelligence (AI) architecture using RNN with LSTM for sequence labelling<\/li>\n\n\n\n<li>Train the model on annotated text<\/li>\n\n\n\n<li>Classifier built based on UMLS and MIMIC data set models<\/li>\n<\/ol>\n\n\n\n<p><em>Results<\/em>:\n\n<img decoding=\"async\" class=\"aligncenter\" title=\"Cenacle Clinical Text Mining Solution\" src=\"https:\/\/res.cloudinary.com\/cenacle-cdn\/image\/upload\/v1543679594\/CenacleResearch\/blog\/images\/Clinical-Notes.jpg\">\n\nKey concepts used: Text Mining, Natural Language Processing, Named Entity Recognition in Medical Records, Co-reference Resolution, Deep-learning, RNN, Artificial Intelligence.<\/p>\n\n\n\n<p>Domain: Healthcare Analytics<\/p>\n\n\n\n<p>Access to longitudinal DNA data (genetic material collected from the same individuals repeatedly over time) allows us to move beyond static genetics into\u00a0<strong>dynamic genomics<\/strong>. This unlocks the ability to observe the interaction between the genome, the environment, and time. Read more on this at: <a href=\"https:\/\/gk.palem.in\/articles\/longitudinal-dna-ai-genomic-innovations\/\">Longitudinal DNA + AI = Genomic Innovations<\/a><\/p>\n\n\n\n<p>Current genomic medicine treats\u00a0<mark>disease\u00a0<\/mark>as a static classification problem. However, biological aging and oncogenesis are dynamic stochastic processes, effectively \u201csystem noise\u201d accumulating on a deterministic germline signal.\u00a0How can Generative AI help design personalized Genomic Medicine? Read <a href=\"https:\/\/gk.palem.in\/articles\/genomic-restoration-with-generative-ai\/\">Genomic Restoration with Generative AI<\/a> for answers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cenacle offers outsourcing services to build Artificial Intelligence based Decision Support Systems for healthcare organizations, deriving insights from patients health records.<\/p>\n","protected":false},"author":1,"featured_media":828,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_post_was_ever_published":false,"_cloudinary_featured_overwrite":false,"fifu_image_url":"https:\/\/res.cloudinary.com\/cenacle-cdn\/image\/upload\/v1543679594\/CenacleResearch\/blog\/images\/Clinical-Notes.jpg","fifu_image_alt":"Clinical Text Mining","footnotes":""},"categories":[50],"tags":[51,42,53,52],"class_list":["post-351","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","tag-case-study","tag-healthcare","tag-natural-language-processing","tag-predictive-analytics"],"jetpack_featured_media_url":"https:\/\/res.cloudinary.com\/cenacle-cdn\/image\/upload\/v1543679594\/CenacleResearch\/blog\/images\/Clinical-Notes.jpg","jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pfLaRd-5F","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/posts\/351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/comments?post=351"}],"version-history":[{"count":1,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/posts\/351\/revisions"}],"predecessor-version":[{"id":1040,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/posts\/351\/revisions\/1040"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/media\/828"}],"wp:attachment":[{"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/media?parent=351"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/categories?post=351"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gk.palem.in\/articles\/wp-json\/wp\/v2\/tags?post=351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}