Machine Learning Analysis Reveals Abnormal Static and Dynamic Low-Frequency Oscillations Indicative of Long-Term Menstrual Pain in Primary Dysmenorrhea Patients-Reference-Cited by-同舟云学术

Machine Learning Analysis Reveals Abnormal Static and Dynamic Low-Frequency Oscillations Indicative of Long-Term Menstrual Pain in Primary Dysmenorrhea Patients

Published:2021-10 Issue: Volume:Volume 14 Page:3377-3386
ISSN:1178-7090
Container-title:Journal of Pain Research
language:en
Short-container-title:JPR

Author:

Gui Shao-Gao,Chen Ri-Bo,Zhong Yu-Lin,Huang Xin

Publisher

Informa UK Limited

Subject

Anesthesiology and Pain Medicine

Reference37 articles.

1. Prevalence and Risk Factors Associated with Primary Dysmenorrhea among Chinese Female University Students: A Cross-sectional Study

2. Assessment of Anxiety and Depression in Adolescents with Primary Dysmenorrhea: A Case-Control Study

3. A Nutraceutical Approach to Menopausal Complaints

4. Primary dysmenorrhea in adolescents: Association with attention deficit hyperactivity disorder and psychological symptoms

Altered amplitude of low-frequency fluctuation and regional cerebral blood flow in females with primary dysmenorrhea: a resting-state fMRI and arterial spin labeling study

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