Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder impacting women's
health and quality of life. This sco** review explores the use of the Internet of Things (IoT) …

Objective To identify clinical decision support algorithms (CDSA) proposed for assisted
reproductive technologies (ART) and to evaluate their effectiveness in improving ART cycles …

polycystic ovarian syndrome, or PCOS, is categorized as a severe health problem that
impacts women globally. Early detection of PCOS reduces the chances of long-term effects …

Abstract Graphical Abstract Highlights Conducted a systematic review of the existing
literature, focusing on Polycystic Ovary Syndrome intelligent detection, and constructed the …

Polycystic ovary syndrome (PCOS) requires early and precise diagnosis to manage and
prevent long-term health consequences effectively. In this research, a large dataset of …

This dissertation develops explainable and sparse predictive models applied to two main
healthcare applications: reproductive health and oncology. Through the application of …

The goal of this research is to develop a machine learning-based method for predicting
several diseases in women, with an emphasis on polycystic ovarian syndrome (PCOs) …

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder that primarily affects
women of reproductive age, characterized by a complex interplay of reproductive, metabolic …

Abstract Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting
reproductive-aged women, characterized by hormonal imbalances and diverse clinical …