A5042452614- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Machine Learning and Data Classification
- Artificial Intelligence in Healthcare
- COVID-19 diagnosis using AI
Early-stage prediction of a disease is an important and challenging task. The application machine learning techniques playing role in this era. Thyroid one the chronic endocrine diseases, approximately 42 million people India are affected by disease. This paper presents comprehensive investigation into enhancement classification performance through novel ‘FeatureBoostThyro’ (FBT) model. study evaluates various algorithms, including stochastic gradient descent (SGD), K nearest neighbor (KNN),...
The need for enhanced methods in disease prediction is a significant challenge the medical field. Current predictive models often face challenges such as limited accuracy, insufficient adaptability to diverse datasets, and inefficiencies feature selection model training. These limitations can hinder early diagnosis effective management of thyroid conditions, which are vital patient outcomes. study introduces an innovative method enhancing using machine learning employs algorithms support...
Covid-19 had become an outbreak at the end of December 2019, it has a nightmare for all. It resulted ina huge loss in health, life and economic sector country. is common spreading disease. Its symptomsare similar to pneumonia, which make very hard distinguish. After clinical study COVID-19 infectedpatients, discovered that infected patients tend have lung infection after getting contact with virus.Chest X-ray CT scans are most widely used techniques detecting related problems. As...