MACHINE LEARNING TO PREDICT CANCER INVOLVEMENT OF LYMPH NODES

MACHINE LEARNING TO PREDICT CANCER INVOLVEMENT OF LYMPH NODES

Disclosed herein are methods for determining a subject level risk of metastatic cancer involving the training and/or deployment of models to determine 1) a lymph node level risk of individual lymph node involvement and/or 2) a subject level risk of lymph node involvement. Thus, the methods can ident...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WASHKO, JR., George, KINSEY, Charles Matthew, STEVENSON, Christopher Scott, ESTEPAR, Raul San Jose
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Disclosed herein are methods for determining a subject level risk of metastatic cancer involving the training and/or deployment of models to determine 1) a lymph node level risk of individual lymph node involvement and/or 2) a subject level risk of lymph node involvement. Thus, the methods can identify patients who are high or low risk for having nodal disease and optionally enable the guided intervention of cancer patients, for example, via treatment.