Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data.

In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading to consequential outcomes such as dementia, which can be mitigated through early detection and treatment of cardiovascular issues. Continued research into preventing strokes and heart attacks is crucial.

Enhanced stock market forecasting using dandelion optimization-driven 3D-CNN-GRU classification.

The global interest in market prediction has driven the adoption of advanced technologies beyond traditional statistical models. This paper explores the use of machine learning and deep learning techniques for stock market forecasting. We propose a comprehensive approach that includes efficient feature selection, data preprocessing, and classification methodologies.

Cavernous hemangioma of tongue: management of two cases.

Hemangiomas are benign tumours of infancy and childhood, most commonly located in the head and neck region and occur more frequently in the lips, tongue and palate. The treatment depends upon lesion location, size and evolution stage and the patient's age. This paper describes the management of cavernous hemangioma in a 2 -year -old child and 14 -year -old child using different approaches.