Machine Learning Models With Hyperparameter Optimization for Voice Pathology Classification on Saarbrücken Voice Database.

Early diagnosis and referral are crucial in the treatment of voice disorders. Contemporary investigations have indicated the efficacy of voice pathology detection systems in significantly contributing to the evaluation of voice disorders, facilitating early diagnosis of such pathologies. These systems leverage machine learning methodologies, widely applied across diverse domains, and exhibit particular potential in the realm of voice pathology classification.

A Study of Serum Soluble CD 163 Levels in Women with Polycystic Ovary Syndrome.

The aim of this study was to determine serum soluble CD163 levels in patients with polycystic ovary syndrome and its relation to clinical and metabolic parameters. Eighty-four women aged 18-45 years, 43 with polycystic ovary syndrome and 41 controls were recruited in this case-control study. Serum sCD163 levels of the groups were compared.

Use of Neutrophil-to-Lymphocyte Ratio Combined With CA-125 to Distinguish Endometriomas From Other Benign Ovarian Cysts.

Purpose: The objective of this study was to evaluate the diagnostic value of the neutrophil-to-lymphocyte ratio (NLR) compared to CA-125 in patients with endometriomas.

Methods: This study was designed as a retrospective comparative study. A total of 807 women who underwent surgery due to benign ovarian cysts between January 2008 and January 2013 were included in the study.