AIMC Topic: Menopause
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Menopausal hormone therapy and the female brain: Leveraging neuroimaging and prescription registry data from the UK Biobank cohort.
eLife
May 29, 2025
BACKGROUND: Menopausal hormone therapy (MHT) is generally thought to be neuroprotective, yet results have been inconsistent. Here, we present a comprehensive study of MHT use and brain characteristics in females from the UK Biobank.
Beyond the hot flashes: how machine learning is uncovering the complexity of menopause-related depression.
CNS spectrums
Jan 6, 2025
BACKGROUND: The transition into menopause marks a significant stage in a woman's life, indicating the end of reproductive capability. This period, encompassing perimenopause and menopause, is characterized by declining levels of estrogen and progeste...
Machine learning analysis of sex and menopausal differences in the gut microbiome in the HELIUS study.
NPJ biofilms and microbiomes
Dec 19, 2024
Sex differences in the gut microbiome have been examined previously, but results are inconsistent, often due to small sample sizes. We investigated sex and menopausal differences in the gut microbiome in a large multi-ethnic population cohort study, ...
GO-MAE: Self-supervised pre-training via masked autoencoder for OCT image classification of gynecology.
Neural networks : the official journal of the International Neural Network Society
Oct 18, 2024
Genitourinary syndrome of menopause (GSM) is a physiological disorder caused by reduced levels of oestrogen in menopausal women. Gradually, its symptoms worsen with age and prolonged menopausal status, which gravely impacts the quality of life as wel...
Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study.
International breastfeeding journal
May 14, 2024
BACKGROUND: Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to investigate the risk of DM accordi...
Designing, validation and evaluation of the expert system of "Healthy Menopause" and assessing its effect on the management of menopause symptoms: an exploratory mixed method study protocol.
Reproductive health
Jan 20, 2024
BACKGROUND: Menopause is a period of women's life that has the especial physical, psychological and social challenges. So provision of an effective, practical and affordable way for meeting women's related needs is important. In addition, women shoul...
Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.
Circulation research
Feb 17, 2022
Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on sex- and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk fact...
Artificial intelligence approaches to the determinants of women's vaginal dryness using general hospital data.
Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
Jan 7, 2022
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learning. Data came from Korea University Anam Hospital in Seoul, Republic of Korea, with 3298 women, aged 40-80 years, who attended their general health ch...
Menopausal Women's Health Care Method Based on Computer Nursing Diagnosis Intelligent System.
Journal of healthcare engineering
Jul 24, 2021
Taking into account the current feature extraction speed and recognition effect of intelligent diagnosis of menopausal women's health care behavior, this paper proposes to use a cross-layer convolutional neural network to extract behavior features au...
Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data.
Journal of Korean medical science
May 3, 2021
BACKGROUND: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning.
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