Integration of Domain Knowledge into the Data Mining Process
Lade...
Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2021
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
A recurring problem in healthcare systems across the world is the amount of missed appointments of outpatients. Apart from the economic impact for healthcare institutions, it also hinders the access of other patients to the health system. Therefore, missing appointments negatively affect the efficiency, accessibility, and delivery of healthcare. In practice it can be observed that some medical institutions try to tackle this issue by defining and applying predictive models for missing medical appointments to react on them. An essential drawback of successful AI models is, that the resulting models will not be able to explain their decisions and actions to humans. This is a key pain point for data scientists during the whole data mining process and a crucial aspect when trust in a model’s prediction is critical. A further challenge in the selected domain is that clinical staff often reports elevated workloads and are therefore limited in time for participating actively in such data mining projects. This master thesis provides an approach that describes how a domain knowledge base can be integrated into the data mining process for build of a predictive model for missing medical appointments. Its usage should ensure the acceptance of the outcoming models and make interactions with domain experts more efficient....
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
Pose, J. (2021). Integration of Domain Knowledge into the Data Mining Process [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/40417