Machine-learning based query construction and pattern identification for amyotrophic lateral sclerosis
US11250950B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2017 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Jun 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and system identifying a probability of a medical condition in a patient. The method includes a processor obtaining data set(s) related to a patient population diagnosed with a medical condition and based on a frequency of features in the data set(s), identifying common features and weighting the common features based on frequency of occurrence in the data set(s) to generate mutual information. The processor generates pattern(s) including a portion of the common features to generate a machine learning algorithm(s). The processor compiles a training set of data to use to tune the machine learning algorithm(s). The processor dynamically adjusts common features in the pattern(s) such that the machine learning algorithm(s) can distinguish patient data indicating the medical condition from patient data not indicating the medical condition. The processor applies the machine learning algorithm(s) to data related to the undiagnosed patient, to determine the probability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.