AIMC Topic: Menstrual Cycle

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A deep learning approach to understanding controlled ovarian stimulation and in vitro fertilization dynamics.

Scientific reports Mar 6, 2025
Infertility, recognized by the World Health Organization (WHO) as a disease affecting the male or female reproductive system, presents a global challenge due to its impact on one in six individuals worldwide. Given the high prevalence of infertility ...
Humans Male Deep Learning Female Adult Fertilization in Vitro Ovulation Induction Fertility Menstrual Cycle
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Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle.

Scientific reports Feb 18, 2025
A complex biological process involves physical changes and hormonal fluctuation in the menstrual cycle. The traditional nutrition recommendation models often offer general guidelines but fail to address the specific requirements of women during vario...
Menstrual Cycle Female Deep Learning Humans Algorithms
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Machine learning model for menstrual cycle phase classification and ovulation day detection based on sleeping heart rate under free-living conditions.

Computers in biology and medicine Jan 30, 2025
The accurate classification of menstrual cycle phases and detection of ovulation is critical for women's health management, particularly in addressing infertility, alleviating premenstrual syndrome, and preventing hormone-related disorders. However, ...
Ovulation Menstrual Cycle Heart Rate Sleep Adolescent Circadian Rhythm Machine Learning Female Young Adult Adult Humans
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Using person-specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones.

The International journal of eating disorders Aug 21, 2018
OBJECTIVE: Emotional eating has been linked to ovarian hormone functioning, but no studies to-date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions o...
Models, Statistical Adult Twins Brain Mapping Surveys and Questionnaires Feeding Behavior Eating Menstrual Cycle Estradiol Brain Magnetic Resonance Imaging Feeding and Eating Disorders Saliva Humans Emotions Progesterone Female Neural Networks, Computer
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Evaluating the added value of salivary hormones in the context of menstrual cycle staging: A machine learning approach and app-implementation.

Psychoneuroendocrinology Aug 1, 2025
OBJECTIVE: Salivary hormone assessment is commonly used in menstrual cycle studies, but its validity for accurate menstrual cycle staging has been questioned. In the present study, we explore possibilities and limitations of salivary hormone assessme...
Mobile Applications Estradiol Adult Humans Saliva Adolescent Machine Learning Menstrual Cycle Progesterone Female Support Vector Machine Young Adult
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Machine learning for classification of uterine activity outside pregnancy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activity during the four phases of the menstrual cycle. Four different classifiers, including support vecto...
Algorithms Female Support Vector Machine Bayes Theorem Humans Machine Learning Menstrual Cycle Uterus Normal Distribution
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