SYSTEMS AND METHODS FOR REDUCING SAMPLE SIZES

SYSTEMS AND METHODS FOR REDUCING SAMPLE SIZES

Aspects disclosed herein are directed to systems and methods including receiving external data including respective observed outcome data for a first set of subjects, training a machine learning framework based on a first subset of the external data to generate a trained machine learning framework,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wang, Chenguang, Wei, Henry, Robertson, Erin E, ACOSTA, Rolando J, Redington, Emily R, Urbanek, Jacek K, Wipperman, Matthew F
Format: Patent
Sprache:eng
Schlagworte:
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Aspects disclosed herein are directed to systems and methods including receiving external data including respective observed outcome data for a first set of subjects, training a machine learning framework based on a first subset of the external data to generate a trained machine learning framework, validating the trained machine learning framework using a second subset of the external data, extracting a baseline covariate based on validating the trained machine learning framework, determining a prognostic score for a first subject of a second set of subjects based on the baseline covariate, and classifying the first subject as a clinical trial subject based on the prognostic score. Further aspects include determining a correlation between a second observed outcome data of the second subset of the external data to a predicted outcome, and determining a reduced sample size for a study based on the correlation.