By Özge ÖzkayaNew Predictive Model Can Identify Minimal and Mild Endometriosis
By Özge Özkaya
Researchers from China developed a predictive model that can identify minimal and mild endometriosis in infertile women. The paper appeared in the March 2024 issue of the Journal of Minimally Invasive Gynecology. “This model would assist clinicians in screening infertile…
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By Selma OransayEndometriosis Prediction by "Machine Learning"
By Selma Oransay
To develop a predictive model for endometriosis and to re-assess the contribution of known risk factors, Blass et al. from the Hebrew University of Jerusalem, Jerusalem, Israel used the data of the UK biobank by machine learning-based models. They compared and…
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By Bahar YukselMachine learning tools to predict endometriosis
By Bahar Yuksel
The current gold standard diagnostic method for endometriosis is the surgical diagnosis and yet no approaches have been found to replace it. In the study conducted by Sofiane Bendifallah et al, the authors aimed to use machine learning algorithms to…
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By Dr. Youngran ParkMachine Learning Classifiers for Endometriosis
By Dr. Youngran Park
Endometriosis is a complicated gynecological disorder that affects about 176 million women worldwide. It significantly impairs mental and physical quality of life in patients but the etiology is poorly understood. Endometriosis also causes a large economic burden due to loss…
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