Diabetic retinopathy is a serious medical disorder that, if left untreated, can result in visual
impairment or blindness. The precise and timely categorization of its severity is critical for …

Human-wildlife conflict denotes the harmful interactions occurring between wild animals and
humans, leading to adverse impacts on individuals, their resources, or the wildlife and their …

Lung cancer, a complex and formidable disease, frequently necessitates surgical
intervention as a pivotal aspect of its treatment. Accurate prediction of post-operative life …

The health sector is one of the prominent sectors in which continuous advances are
happening to meet present population requirements as well as to withstand new diseases …

Cardiovascular diseases (CVD) remain a major global health concern, contributing
significantly to both death and morbidity. To avoid premature mortality, people with heart …

Advancements in medical technology have brought a significant change in healthcare by
enabling accurate diagnosis and personalized treatments. However, machine learning …

Cardiovascular disorders, encompassing arrhythmias rhythms, represent noteworthy
worldwide health issues that necessitate prompt identification and precise categorization to …

Effective prediction models are required to identify those at risk since heart disease tends to
be one of the main causes of death globally. In this work, the use of Logistic Regression …

In order to assess the fetus health and make timely decisions throughout pregnancy, Fetal
Electrocardiography (FECG) monitoring is essential. Huge datasets for electrocardiograms …

Personality prediction refers to the use of machine learning techniques to predict an
individual's personality traits based on various sources of data, such as text, images, and …