[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.22″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ background_color=”#072c72″ border_color_all=”#3255c9″ text_orientation=”right” background_layout=”dark” custom_padding=”20px|15px|15px|” z_index_tablet=”500″]<\/p>\n
2022<\/em><\/p>\n Masters Projects<\/em><\/p>\n @Medicine<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”3.22.1″ text_orientation=”right” z_index_tablet=”500″]<\/p>\n +Mathematics\/Statistics<\/p>\n +Biology<\/p>\n \u00a0<\/p>\n #Rare diseases<\/p>\n #Information retrieval<\/p>\n #Knowledge graph<\/p>\n #NLP<\/p>\n #data mining<\/p>\n #healthcare databases<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n The collection of biomedical data requires a multitude of software tools for purposes ranging from websites for patients\u2019 follow-ups to alarm algorithm for medical monitoring by physicians or large scale collection of data for epidemiological analyses. Yet many more opportunities remain to leverage technology to better patients\u2019 care. To date, vast amount of human and technical efforts have already been spent on genetic disorders and the emergence of deep-sequencing analyses for patients\u2019 samples has led to significant progress. However, rare auto-immune diseases, which can affect multiple organs simultaneously, have yet to be thoroughly investigated and effectively reported in the electronic health record.<\/p>\n This project aims to create and describe new tools to obtain a comprehensive view of all autoimmune diseases in the scientific literature and how it can be represented in electronic health record. The project will focus on curation and extraction of data using several databases (ORDO, Pubmed and medical records). This work, already initiated, will be done in collaboration with the Assistance Publique \u2013 H\u00f4pitaux de Paris \u2013 AP-HP, rare disease nomenclature expert Orphanet and the Human Phenotype Ontology HPO.<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Tracking-auto-immune-diseases-in-electronic-health-record_page-0001-1.jpg” _builder_version=”3.22.1″ z_index_tablet=”500″][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” _builder_version=”3.22.1″ admin_label=”Row” locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.22.1″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”41″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″ locked=”off”][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" 2022Masters Projects@Medicine +Mathematics\/Statistics+Biology\u00a0#Rare diseases#Information retrieval#Knowledge graph#NLP#data mining#healthcare databases\u00a0 Project SummaryThe collection of biomedical data requires a multitude of software tools for purposes ranging from websites for patients\u2019 follow-ups to alarm algorithm for medical monitoring by physicians or large scale collection of data for epidemiological analyses. Yet many more opportunities remain to leverage technology to better… Lire la suite Tracking auto-immune diseases in electronic health record<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":1627,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[55,1,29,41],"tags":[],"class_list":["post-1626","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-55","category-diip","category-masters-internship","category-medicine"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1626"}],"version-history":[{"count":2,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1626\/revisions"}],"predecessor-version":[{"id":2351,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1626\/revisions\/2351"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/1627"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Project Summary<\/strong><\/h3>\n
Maud de Dieuleveult <\/strong><\/h5>\n
Projects in the same discipline
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