MACHINE LEARNING TECHNIQUES USING SEGMENT-WISE REPRESENTATIONS OF INPUT FEATURE REPRESENTATION SEGMENTS

MACHINE LEARNING TECHNIQUES USING SEGMENT-WISE REPRESENTATIONS OF INPUT FEATURE REPRESENTATION SEGMENTS

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing health-related predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bayomi, Mostafa, O'Donoghue, Kieran, Bridges, Michael, Selim, Ahmed
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing health-related predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis by using at least one of segment-wise feature processing machine learning models or a multi-segment representation machine learning model.