Freitas da Cruz, Harry
[VerfasserIn]
;
Meinel, Christoph
[AkademischeR BetreuerIn];
Winter, Alfred
[AkademischeR BetreuerIn];
Balzer, Felix
[AkademischeR BetreuerIn];
Bier, Frank
[AkademischeR BetreuerIn]Universität Potsdam
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Medientyp:
E-Book;
Hochschulschrift
Titel:
Standardizing clinical predictive modeling
:
standardizing development, validation, and interpretation of clinical prediction models
Weitere Titel:
Übersetzung des Haupttitels: Standardisierung der klinischen Vorhersagemodellierung: Standardisierung der Entwicklung, Validierung und Interpretierung von klinischen Vorhersagemodellen
Hochschulschrift:
Dissertation, Universität Potsdam, 2021
Anmerkungen:
Beschreibung:
An ever-increasing number of prediction models is published every year in different medical specialties. Prognostic or diagnostic in nature, these models support medical decision making by utilizing one or more items of patient data to predict outcomes of interest, such as mortality or disease progression. While different computer tools exist that support clinical predictive modeling, I observed that the state of the art is lacking in the extent to which the needs of research clinicians are addressed. When it comes to model development, current support tools either 1) target specialist data engineers, requiring advanced coding skills, or 2) cater to a general-purpose audience, therefore not addressing the specific needs of clinical researchers. Furthermore, barriers to data access across institutional silos, cumbersome model reproducibility and extended experiment-to-result times significantly hampers validation of existing models. Similarly, without access to interpretable explanations, which allow a given model to be fully ...