{"id":302159,"date":"2016-10-06T14:46:02","date_gmt":"2016-10-06T21:46:02","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=302159"},"modified":"2018-10-16T22:03:20","modified_gmt":"2018-10-17T05:03:20","slug":"automatic-identification-lifestyle-environmental-factors-social-history-clinical-text","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/automatic-identification-lifestyle-environmental-factors-social-history-clinical-text\/","title":{"rendered":"Automatic Identification of Lifestyle and Environmental Factors from Social History in Clinical Text"},"content":{"rendered":"<p>Lifestyle and environmental factors play a significant role both in clinical research as well as clinical care. In clinical research, it has been established that 5-10% of cancers can be attributed to hereditary factors, while 90-95% have been found correlated with lifestyle and environmental factors such as smoking, diet and exercise. For clinical care, it has long been practice to record social history during clinical care as this history impacts not only diagnosis but also treatment options. We therefore propose in this work to automatically identify those lifestyle and environmental factors that clinical caregivers have documented. We extended Milton et. al.\u2019s analysis of social and behavior information and Uzuner et. al.\u2019s information on smoking in discharge summaries.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lifestyle and environmental factors play a significant role both in clinical research as well as clinical care. In clinical research, it has been established that 5-10% of cancers can be attributed to hereditary factors, while 90-95% have been found correlated with lifestyle and environmental factors such as smoking, diet and exercise. For clinical care, it [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"AMIA","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of AMIA 2016 Joint Summits on Translational Science","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of AMIA 2016 Joint Summits on Translational Science","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2016-03-21","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"https:\/\/www.amia.org\/jointsummits2016","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13545,13553],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-302159","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_publishername":"AMIA","msr_edition":"Proceedings of AMIA 2016 Joint Summits on Translational Science","msr_affiliation":"","msr_published_date":"2016-03-21","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"302171","msr_publicationurl":"https:\/\/www.amia.org\/jointsummits2016","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"amia_social_history_yetisgen_final","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/10\/AMIA_social_history_yetisgen_final.pdf","id":302171,"label_id":0},{"type":"url","title":"https:\/\/www.amia.org\/jointsummits2016","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":0,"url":"https:\/\/www.amia.org\/jointsummits2016"}],"msr-author-ordering":[{"type":"text","value":"Meliha Yetisgen","user_id":0,"rest_url":false},{"type":"text","value":"Elena Pellicer","user_id":0,"rest_url":false},{"type":"text","value":"David Crosslin","user_id":0,"rest_url":false},{"type":"user_nicename","value":"lucyv","user_id":32746,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=lucyv"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144736],"msr_project":[393227],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":393227,"post_title":"Biomedical Natural Language Processing","post_name":"biomedical-nlp","post_type":"msr-project","post_date":"2017-07-06 09:30:15","post_modified":"2017-07-14 12:37:01","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/biomedical-nlp\/","post_excerpt":"The biomedical sciences are beginning to undergo a major transformation. Precision medicine has the potential to make treatments much more effective by better understanding patients, biological mechanisms, and therapeutic effects. However, current approaches only reach a small fraction of the patient population.\u00a0 Consider the molecular tumor board: dozens of highly paid specialists create a custom treatment plan for an individual patient, combing the research literature for research advances that are relevant to the cancer of&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/393227"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/302159","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/302159\/revisions"}],"predecessor-version":[{"id":394724,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/302159\/revisions\/394724"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=302159"}],"wp:term":[{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=302159"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=302159"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=302159"},{"taxonomy":"msr-publisher","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publisher?post=302159"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=302159"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=302159"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=302159"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=302159"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=302159"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=302159"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=302159"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=302159"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}