Academic Journal of Computing & Information Science, 2024, 7(6); doi: 10.25236/AJCIS.2024.070610.
Wang Jiawen
Department of Mechanical and Electronic Engineering, Shenyang Aerospace University, Shenyang, China
In this paper, an evaluation model based on machine learning algorithm is proposed to evaluate the quality of IUD. First, the clinical trial data were preprocessed, including data cleaning, feature selection and other steps. Then, machine learning algorithms such as linear regression and decision tree were selected to establish the IUD quality evaluation model. The model input is the body index of the subjects and the physical and chemical index of the IUD, and the output is the quality score of the IUD. Through model training and optimization, a more accurate IUD quality evaluation model was obtained. Finally, the model was used to evaluate and compare the quality of VCu260 and VCu380 Iuds, and it was found that the quality score of VCu260 was higher. The model established in this paper provides an effective method for quality assessment of IUD.
Intrauterine device; Machine learning; Quality assessment; Linear regression; Decision tree
Wang Jiawen. Research on quality evaluation model of IUD based on machine learning algorithm. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 6: 65-69. https://doi.org/10.25236/AJCIS.2024.070610.
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