The technology of machine learning and its application on identification of medical vectors
QIU Jiong-liang
ZHOU Li-pei
ZHENG Jian-ning
SHI Hui-xiang
LI Jie
JIANG Bing
Abstract：Objective To explore the technology of machine learning and its application in the field of medical vector identification,then to develop a machine identifying system of vectors (MISV) based on the Python language.Methods The method of experts consultation was employed for extracting the characteristics of 5 common fly species in Ningbo Port.The training dataset was constructed for machine learning using the k-Nearest Neighbor method.All of the calculation and identification was embedded within the GUI of MIS.Results The seven characteristics including the size and color of ommateum were extracted out,95×8 matrix was constructed as the training dataset.The correct rate attained 100 percent when 80 percent data was used for training and the remained for testing.90 percent of correct rate was also attained for the identification of ten newly collected flies.All the new data were imported for self-learning by the machine.Finally,the MIS could be cultivated as a genuine expert system.Conclusion With the popularization and application of the machine learning and artificial intelligence (AI),it will improve the identification efficiency immensely and take a firm foundation for the prevention and control of medical vectors in our country.
Keywords：medical vectoridentificationmachine learningartificial intelligencepython
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 436-439 )