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

An early assisted screening system for Down syndrome, which comprises:

• (a) a skin print feature input module, which is configured to input skin print features of a subject;
• wherein the skin print features comprise V7—pattern on the ball of right foot, V33—left hand atd angle, and V56—right hand D5R inter-finger fold(s);
• (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;
• wherein, when the risk score is higher than the risk threshold, it indicates that the subject's risk of Down syndrome is higher than that of a normal population;
• and when the risk score is lower than the risk threshold, it indicates that the subject's risk of Down syndrome is lower than that of the normal population;
• and
• (c) an output module for assisted screening result, which is configured to output the assisted screening result,
• wherein in the processing, a risk score processing is performed as follows:
• V7—pattern on the ball of right foot:
• when the arch print is present, the risk of disease increases;
• V33—left hand atd angle:
• when the angle is greater than 50 degrees, the risk of disease increases;
• and
• V56—D5R inter-finger fold:
• when there is only one inter-finger fold or the little finger is bent, the risk of disease increases.