Pulse signal diagnosis optimization method based on weighted decision tree algorithm

• Main Authors: HE YAN, ZHANG JINCHENG, FAN LIN, LIANG CHEN, XU LIQIN, HENG XIA, WANG WENLANG, ZHANG RONG, WANG JINGSONG
• Format: Patent
• Language: Chinese; English
• Published: 09.05.2025
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention relates to the field of disease diagnosis, and aims to solve the problems that in the conventional research, disease classification is directly carried out on the basis of pulse characteristics, and pulse waveform personalized differences generated by individual physiological differences are not considered, so that healthy subjects or patients with certain special physical conditions are often misdiagnosed. The invention provides a pulse signal diagnosis optimization method based on a weighted decision tree algorithm, which comprises the following steps of: extracting each physiological factor influencing pulse image characteristics of a normal person according to factors such as gender, age, BMI index, PWV index, recent diet and exercise condition of a subject, and performing numerical quantization and balance on pulse characteristics through the decision tree algorithm to obtain a pulse signal diagnosis result. The defect that the disease diagnosis accuracy is affected by individual physiologi