Results 51 to 60 of about 297,437 (356)
Journal of Diabetes, Volume 14, Issue 12, Page 806-814, December 2022., 2022 Highlights Metformin activates GDF15 expression, which reduces appetite with induction of weight loss in both diabetic and non‐diabetic patients. GDF15 level is linked and correlated with the progression of diabetic complications including thrombosis, diabetic nephropathy, diabetic neuropathy, and diabetic retinopathy. Abstract Type 2 diabetes mellitus
Hayder M. Al‐kuraishy +8 more
wiley +1 more source
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment [PDF]
arXiv, 2023 The field of women's endocrinology has trailed behind data-driven medical solutions, largely due to concerns over the privacy of patient data. Valuable datapoints about hormone levels or menstrual cycling could expose patients who suffer from comorbidities or terminate a pregnancy, violating their privacy.
arxiv
Journal of Diabetes, Volume 14, Issue 12, Page 792-805, December 2022., 2022 Highlights This is the first large‐sample, multicenter study of the relationship between Chinese Visceral Adiposity Index (CVAI) and urinary albumin to creatinine ratio (UACR) in Chinese community adults. CVAI and UACR were significantly associated in both genders. At higher CVAI levels, the population with prediabetes, diabetes, and hypertension has a
Binqi Li +10 more
wiley +1 more source
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method [PDF]
arXiv, 2022 High dimensional data for classification does create many difficulties for machine learning algorithms. The generalization can be done using ensemble learning methods such as bagging based supervised non-parametric random forest algorithm. In this paper we solve the problem of binary classification for high dimensional data using random forest for ...
arxiv
AJOG Global Reports, 2022 BACKGROUND: Women with polycystic ovary syndrome experience increased health complications during and after pregnancy, including a higher prevalence of postpartum depression.
Adriele D. Fugal, MSPH +4 more
doaj
Journal of the Endocrine Society, 2019 Polycystic ovary syndrome (PCOS) is a heterogeneous disorder characterized by hyperandrogenism and chronic anovulation. Depending on diagnostic criteria, 6% to 20% of reproductive aged women are affected.
S. Witchel, S. Oberfield, A. Pena
semanticscholar +1 more source
Effect of Diet on Insulin Resistance in Polycystic Ovary Syndrome.
Journal of Clinical Endocrinology and Metabolism, 2020 OBJECTIVE The effect of diet on insulin resistance (IR) in polycystic ovary syndrome (PCOS) is controversial. Thus, we conducted this systematic review and meta-analysis to evaluate whether diet could reduce IR in women with PCOS while providing optimal ...
Yujie Shang +3 more
semanticscholar +1 more source
Polycystic ovaries and polycystic ovary syndrome
Gynecological Endocrinology, 1987 In the 50 years or so since the description by Irving F. Stein and Michael L. Leventhal of their finding of unexpectedly enlarged ovaries in a group of women with amenorrhea1, the syndrome we associate with their names has become widely recognized, variously interpreted and a subject of continual fascination for scores of reproductive scientists and ...
openaire +3 more sources
Epistasis Detection Via the Joint Cumulant [PDF]
arXiv, 2021 Selecting influential nonlinear interactive features from ultrahigh dimensional data has been an important task in various fields. However, statistical accuracy and computational feasibility are the two biggest concerns when more than half a million features are collected in practice.
arxiv
Combining Varied Learners for Binary Classification using Stacked Generalization [PDF]
arXiv, 2022 The Machine Learning has various learning algorithms that are better in some or the other aspect when compared with each other but a common error that all algorithms will suffer from is training data with very high dimensional feature set. This usually ends up algorithms into generalization error that deplete the performance.
arxiv