PREDICTING OPTIMAL TREATMENT REGIMEN FOR NEOVASCULAR AGE-RELATED MACULAR DEGENERATION (NAMD) PATIENTS USING MACHINE LEARNING

PREDICTING OPTIMAL TREATMENT REGIMEN FOR NEOVASCULAR AGE-RELATED MACULAR DEGENERATION (NAMD) PATIENTS USING MACHINE LEARNING

A method and system for predicting a selected treatment regimen for a subject. Baseline data for a subject diagnosed with neovascular age-related macular degeneration (nAMD) is received. A plurality of predictor inputs is formed for an outcome predictor using the baseline data and regimen data for a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: NEUBERT, Ales, DAI, Jian, KIKUCHI, Yusuke Alexander, RUIZ, Carlos Quezada
Format: Patent
Sprache:eng
Schlagworte:
DIAGNOSIS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:A method and system for predicting a selected treatment regimen for a subject. Baseline data for a subject diagnosed with neovascular age-related macular degeneration (nAMD) is received. A plurality of predictor inputs is formed for an outcome predictor using the baseline data and regimen data for a plurality of treatment regimens. The plurality of predictor inputs comprises a different predictor input for each of the plurality of treatment regimens. A plurality of treatment scores is generated for the plurality of treatment regimens via the set of outcome predictor using the plurality of predictor inputs. One of the plurality of treatment regimens is selected as a selected treatment regimen for the subject based on the plurality of treatment scores.