MACHINE LEARNING PLATFORM FOR GENERATING RISK MODELS

The disclosed embodiments concern methods, apparatus, systems, and computer program products for developing polygenic risk score (PRS) models. In some implementations, a fully automated process is provided that allows for a PRS model to be defined by an initial set of parameters. In some implementat...

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Bibliographische Detailangaben
Hauptverfasser:	Zhan, Jianan, Kondo, Derrick Poo-Ray, Suresh, Sanjeev, Amiri, Shiva, Macpherson, John Michael, Ashenhurst, James Rowan, Hamilton, Shannon M, Ganesan, Manoj, Marshall, Austin William, Koelsch, Bertram Lorenz, Sinha, Subarnarekha, Polcari, Michael, Blakkan, Cordell T
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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Beschreibung
Zusammenfassung:	The disclosed embodiments concern methods, apparatus, systems, and computer program products for developing polygenic risk score (PRS) models. In some implementations, a fully automated process is provided that allows for a PRS model to be defined by an initial set of parameters. In some implementations the PRS models are trained to provide a PRS for particular populations.