Assisted screening of down syndrome skin prints based on machine learning algorithm

US12127857B2 · kind B2 · utility

Assignee

• SHANGHAI INSTITUTE OF NUTRITION AND HEALTH, CHINESE ACADEMY OF SCIENCES · CN

Inventors

• Sijia Wang · Fujian, CN
• Jinxi LI · Shanghai, CN

Key dates

• Filing date: Nov 20, 2019
• Grant date: Oct 29, 2024
• Expiry date: Oct 30, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

An assisted early screening system for Down syndrome, relating to assisted screening of Down syndrome skin prints based on a machine learning algorithm, wherein the system comprising: (a) a skin print feature input module; (b) a processing module for diagnosis of Down syndrome based on skin print, wherein the processing module performs a scoring processing on the inputted skin print features according to a predetermined evaluation criteria to obtain a risk score, and compares the risk score with a Down syndrome risk threshold, thereby obtaining an assisted screening result; and (c) an output module for assisted screening result, which is configured to output the assisted screening result. The assisted early screening system for Down syndrome can implement simple, accurate, and effective assisted early screening of Down syndrome, such that powerful assistance can be provided for postnatal early intervention for early Down syndrome patients.