Big Data Analysis Of Female Dysmenorrhea Based On Multiple Machine Learning Methods-Reference-Cited by-同舟云学术

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Big Data Analysis Of Female Dysmenorrhea Based On Multiple Machine Learning Methods

Published:2023-12-15 Issue: Volume:18 Page:208-213
ISSN:
Container-title:2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI)
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Author:

Zhang Xu¹,Deng Lifeng¹,Song Wenxiao²,Xiao Yahui¹

Affiliation:

1. Shandong University of Science and Technology,College of Mathematics and Systems Science,Qingdao,China

2. China United Network Communications Co., LTD,Qingdao Branch,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550187/10550956/10551024.pdf?arnumber=10551024

Reference15 articles.

1. Analysis of the current situation of primary dysmenorrhea among female university students and the factors affecting it;Lu;Healthcare medicine research and practice,2021

2. Analysis on current situation and influencing factors of primary dysmenorrhea in female college students;Tao;Chinese medicine,2022

3. An exploration of the factors influencing dysmenorrhea among school girls in China;Yang;Kwong Ming Chinese Medicine,2020

4. Investigation on TCM constitution and influencing factors of primary dysmenorrhea;Bi;Chinese school doctor,2022

5. The relationship between chronic stress and primary dysmenorrhea;Wang;Zhejiang Medicine,2021

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