A personalized probabilistic approach to ovarian cancer diagnostics

The identification/development of a machine learning-based classifier that utilizes metabolic profiles of serum samples to accurately identify individuals with ovarian cancer. Serum samples collected from 431 ovarian cancer patients and 133 normal women at four geographic locations were analyzed by...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Gynecologic oncology 2024-03, Vol.182, p.168-175
Hauptverfasser:	Ban, Dongjo, Housley, Stephen N., Matyunina, Lilya V., McDonald, L. DeEtte, Bae-Jump, Victoria L., Benigno, Benedict B., Skolnick, Jeffrey, McDonald, John F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Diagnostic Female Humans Machine Learning Mass Spectrometry Metabolomics Ovarian Cancer Ovarian Neoplasms - diagnosis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!