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Effects of a ketogenic diet in overweight women with polycystic ovary syndrome
Journal of Translational Medicine, 2020 Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women during reproductive age. It is characterised clinically by oligo-ovulation or anovulation, hyper-androgenism, and the presence of polycystic ovaries. It is associated with an
A. Paoli +4 more
semanticscholar +1 more source
Nursing Clinics of North America, 2018 Polycystic ovary syndrome (PCOS) is a commonly occurring endocrine disorder characterized by hirsutism, anovulation, and polycystic ovaries. Often comorbid with insulin resistance, dyslipidemia, and obesity, it also carries significant risk for the development of cardiovascular and metabolic sequelae, including diabetes and metabolic syndrome ...
Anuja Dokras, Snigdha Alur-Gupta
+7 more sources
International Journal of Endocrinology, 2018 Polycystic ovary syndrome is a highly frequent reproductive-endocrine disorder affecting up to 8–10% of women worldwide at reproductive age. Although its etiology is not fully understood, evidence suggests that insulin resistance, with or without ...
Eduardo Spinedi, Daniel P. Cardinali
doaj +1 more source
Journal of Ovarian Research, 2020 Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder. Typically, it is characterized by hirsutism, hyperandrogenism, ovulatory dysfunction, menstrual disorders and infertility. To date, its pathogenesis remains unclear. However,
Fangfang He, Yu-mei Li
semanticscholar +1 more source
The Polycystic Ovary Morphology-Polycystic Ovary Syndrome Spectrum [PDF]
Journal of Pediatric and Adolescent Gynecology, 2015 Polycystic ovary syndrome (PCOS) is the most common cause of chronic hyperandrogenic anovulation. Two-thirds of PCOS patients have functionally typical PCOS, with typical functional ovarian hyperandrogenism manifest as 17-hydroxyprogesterone hyper-responsiveness to gonadotropin stimulation.
openaire +2 more sources
Markers for internal neoplasia in the horse
Veterinary Medicine and Science, Volume 9, Issue 1, Page 132-143, January 2023., 2023 The measurement of tumour markers in horses should be performed only in risk groups or in patients with suspicious clinical/laboratory findings (paraneoplastic syndromes). The results should be interpreted with caution as many factors (e.g., young age, pregnancy and inflammation) affect their concentration or activity.
Karolina Drozdzewska, Heidrun Gehlen
wiley +1 more source
PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images [PDF]
arXiv, 2022 Polycystic Ovary Syndrome (PCOS) is an endrocrinological dysfunction prevalent among women of reproductive age. PCOS is a combination of syndromes caused by an excess of androgens - a group of sex hormones - in women. Syndromes including acne, alopecia, hirsutism, hyperandrogenaemia, oligo-ovulation, etc. are caused by PCOS. It is also a major cause of
arxiv
Digital Health, 2023 Background and objective Polycystic ovary syndrome is one of the most common types of endocrine and metabolic diseases in women of reproductive age that needs to be screened early and assessed non-invasively.
Weiying Wang +8 more
doaj +1 more source
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication [PDF]
arXiv, 2022 A lot of prognostication methodologies have been formulated for early detection of Polycystic Ovary Syndrome also known as PCOS using Machine Learning. PCOS is a binary classification problem. Dimensionality Reduction methods impact the performance of Machine Learning to a greater extent and using a Supervised Dimensionality Reduction method can give ...
arxiv
Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification [PDF]
arXiv, 2023 The polycystic ovary syndrome diagnosis is a problem that can be leveraged using prognostication based learning procedures. Many implementations of PCOS can be seen with Machine Learning but the algorithms have certain limitations in utilizing the processing power graphical processing units.
arxiv