{"id":2677,"date":"2022-08-24T09:17:18","date_gmt":"2022-08-24T07:17:18","guid":{"rendered":"https:\/\/www.l3s.de\/?page_id=2677"},"modified":"2024-02-01T11:34:15","modified_gmt":"2024-02-01T10:34:15","slug":"cochlea-implant","status":"publish","type":"page","link":"https:\/\/www.l3s.de\/de\/research-at-l3s\/all-projects\/project-archive\/cochlea-implant\/","title":{"rendered":"Big Data f\u00fcr Cochlea-Implantate"},"content":{"rendered":"
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Big Data f\u00fcr Cochlea-Implantate<\/h2>\r\n <\/div>\r\n <\/div>\r\n
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Anwendung maschinellen Lernens auf gro\u00dfe Datenmengen zwecks Erkenntnisgewinn zur Ergebnisvariabilit\u00e4t bei der Cochlea-Implantat-Versorgung<\/p>\r\n <\/div>\r\n <\/div>\r\n

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Start:<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

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01.01.2020<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

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30.06.2023<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

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Big Data f\u00fcr Cochlea-Implantate<\/h2>\r\n <\/div>\r\n <\/div>\r\n
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Anwendung maschinellen Lernens auf gro\u00dfe Datenmengen zwecks Erkenntnisgewinn zur Ergebnisvariabilit\u00e4t bei der Cochlea-Implantat-Versorgung<\/p>\r\n <\/div>\r\n <\/div>\r\n

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Ziel des Projekts ist die Entwicklung eines Werkzeugs zur Ergebnisvorhersage unter Verwendung von Ans\u00e4tzen des maschinellen Lernens auf der Grundlage des gr\u00f6\u00dften integrierten Datensatzes, der jemals auf dem Gebiet der Cochlea-Implantate untersucht wurde. Die Medizinische Hochschule Hannover (MHH) beherbergt das weltweit gr\u00f6\u00dfte CI-Zentrum mit fast 10.000 Patienten, die bis heute in Hannover implantiert wurden, und einer steigenden j\u00e4hrlichen Implantationsrate von derzeit fast 600. Langzeit-H\u00f6rergebnisse dieser Patienten, Komorbidit\u00e4ten, Bildgebungsdaten und die entsprechenden Programmierdaten der Ger\u00e4te werden seit mehr als 20 Jahren systematisch in relationalen Datenbanken gespeichert bzw. referenziert und umfassen Millionen von Datens\u00e4tzen. Dar\u00fcber hinaus ist es bereits g\u00e4ngige Praxis, dass von Patienten, die sich einer Cochlea-Implantation unterziehen, Blut- und Perilymphproben entnommen werden, um m\u00f6gliche Korrelationen zwischen klinischen Daten, genetischen Daten, metabolomischen Daten und audiologischen oder \u00e4tiologischen Daten zu ermitteln. All diese Daten sollen in einem datengesteuerten, auf k\u00fcnstlicher Intelligenz basierenden Ansatz zur Entwicklung von Leistungsvorhersageinstrumenten f\u00fcr Cochlea-Implantat-H\u00f6rergebnisse verwendet werden, um potenziellen Kandidaten eine zuverl\u00e4ssige Erfolgsprognose zu bieten und \u00fcber die optimale Behandlungsl\u00f6sung zu entscheiden.<\/p>\r\n <\/div>\r\n <\/div>\r\n

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Kontakt<\/h1>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
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Johanna Schrader<\/h4>\r\n <\/div>\r\n <\/div>\r\n
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<\/path><\/svg><\/span> +49 511 762-16160<\/span><\/a>\r\n <\/span>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"

Big Data for Cochlea Implants Understanding Cochlear Implant Outcome Variability using Big Data and Machine Learning Approaches Start: 01.01.2020 End: 30.06.2023 Big Data for Cochlea Implants Understanding Cochlear Implant Outcome Variability using Big Data and Machine Learning Approaches The goal of the project is to develop an outcome prediction tool using machine learning approaches working […]<\/p>","protected":false},"author":5,"featured_media":2743,"parent":10129,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"_acf_changed":false,"footnotes":""},"categories":[75],"tags":[119],"class_list":["post-2677","page","type-page","status-publish","has-post-thumbnail","hentry","category-project-archive","tag-archive"],"acf":[],"aioseo_notices":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-27 01:42:50","action":"category","newStatus":"draft","terms":[75],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/2677","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/comments?post=2677"}],"version-history":[{"count":1,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/2677\/revisions"}],"predecessor-version":[{"id":30144,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/2677\/revisions\/30144"}],"up":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/10129"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/media\/2743"}],"wp:attachment":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/media?parent=2677"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/categories?post=2677"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/tags?post=2677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}