Diagnosis Method Using Image Based Machine Learning Analysis of Handwriting

摘要

Handwriting analysis is provided by data analysis using machine learning. A handwriting sample is received and the sample is analyzed by one or more analysis components that can include one or more of: segmentation analysis of handwriting with numeric extraction of data, vector analysis of handwriting, demographic data, known diagnoses, data from other manual/motor tasks, and data from other cognitive/higher function tasks. Machine learning is used to adjust or add criteria in at least one of the analysis components, the machine learning comprising a predicted probability of diagnosis based on prior handwriting analysis samples.