DEEP LEARNING FOR MODELING DISEASE PROGRESSION

DEEP LEARNING FOR MODELING DISEASE PROGRESSION

A method is provided for deep learning for modeling disease progression. The method may include generating, by a machine learning model, a first feature representation based on clinical data associated with a baseline cognitive state of a patient. The method may also include generating, by the machi...

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Bibliographische Detailangaben
Hauptverfasser: HASHEMIFAR, Somaye Sadat, HEJRATI, Seyed Mohammadmohsen, IRIONDO, Claudia
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
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Zusammenfassung:A method is provided for deep learning for modeling disease progression. The method may include generating, by a machine learning model, a first feature representation based on clinical data associated with a baseline cognitive state of a patient. The method may also include generating, by the machine learning model, a second feature representation based on an image of a brain of the patient. The method may also include generating, by the machine learning model, a set representation by at least fusing the first feature representation and the second feature representation. The method may also include predicting, by the machine learning model, a change in the baseline cognitive state over a time period based at least on the set representation. Related systems and articles of manufacture are also disclosed.