{"id":4466,"date":"2020-04-22T22:32:39","date_gmt":"2020-04-23T02:32:39","guid":{"rendered":"https:\/\/www.hajim.wdev.rochester.edu\/senior-design-day\/clustering-methods-for-finding-insights-in-patient-reported-data\/"},"modified":"2020-05-04T08:12:44","modified_gmt":"2020-05-04T12:12:44","slug":"clustering-methods-for-finding-insights-in-patient-reported-data","status":"publish","type":"post","link":"https:\/\/www.hajim.rochester.edu\/senior-design-day\/clustering-methods-for-finding-insights-in-patient-reported-data\/","title":{"rendered":"Clustering Methods for Finding Insights in Patient Reported Data"},"content":{"rendered":"\n

Team Members<\/h2>\n\n\n\n

Ethan Otto
\nThomas Hanson
\nAustin Verela
\nAnya Greenberg<\/p>\n\n\n\n

Supervisors<\/h4>\n\n\n\n

Anand Ajay, Eva Culakova, Amita Patil, PJ Fernandez, Erika Ramsdale,Supriya Mohile,Marie Flannery,Sixu Meng<\/p>\n\n\n\n

Customers<\/h4>\n\n\n\n

URMC Medicine<\/p>\n\n\n\n

Description<\/h2>\n\n\n\n

We were given a patient reported symptoms dataset PRO-CTCAE and applied a variety of clustering methods. The clusters were then statistically tested for associations with a selection of outcomes such as hospitalization. We found significant associations with clusters and outcomes and compared it to linear regression results.<\/p>\n\n\n\n

\"Ward<\/figure>\n\n\n\n
\"Chi<\/figure>\n\n\n\n
\"Linear\/Logistic<\/figure>\n","protected":false},"excerpt":{"rendered":"

We were given a patient reported symptoms dataset PRO-CTCAE and applied a variety of clustering methods. The clusters were then statistically tested for associations with a selection of outcomes such as hospitalization. We found significant associations with clusters and outcomes and compared it to linear regression results.<\/p>\n","protected":false},"author":6242,"featured_media":3626,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[106,3006,2946],"tags":[],"coauthors":[8612],"class_list":["post-4466","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dsc-archive","category-machine-learning-archive","category-medical-archive"],"acf":[],"yoast_head":"\nClustering Methods for Finding Insights in Patient Reported Data - Senior Design Day<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hajim.rochester.edu\/senior-design-day\/clustering-methods-for-finding-insights-in-patient-reported-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Clustering Methods for Finding Insights in Patient Reported Data - Senior Design Day\" \/>\n<meta property=\"og:description\" content=\"We were given a patient reported symptoms dataset PRO-CTCAE and applied a variety of clustering methods. 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