Abstract
Data analytics reflects trends on the particular subject based on comparison with historical dataset and present dataset. With the advancement of technology, healthcare predictive analytics at periodic intervals affords insights into diseases collectively, identifying risk of the patients' health in the future. The novelty of this project is to analyze symptoms and healthcare datasets, to predict the risk of the mentioned diseases using machine learning algorithms to better time management and convenience for physicians and the general population. Hence, the proposed model provides the provision to save patients directly from risk to the particular disease based on the periodic trend analysis. On the contrary, the hospital will utilize the proposed model to control future disease outbreaks.
TopHow Does Machine Learning Work?
Assume someone is attempting to throw a ball into a tub. The person could overshoot the target the first time because they used too much force. They may lower the force on the second try, but they will miss the ideal angle of their throw. Likewise, they might be able to land the ball in the tub in their third attempt. This is because the brain is always learning and adapting to new experiences, resulting in a better end product. In machine learning, the same concept can be applied to a machine. Data analytics and artificial intelligence are now capable of accomplishing this type of learning and adaptation.
Key Terms in this Chapter
Hypertension: Blood pressure that is unusually high, particularly arterial blood pressure.
Outbreaks: An undesirable event, like as war or sickness, that occurs unexpectedly.
Web Application: An application software that operates on a web server.
Symbiosis: A partnership between two or more persons or groups that is mutually beneficial.
Heroku: Heroku is a cloud-based platform as a service (PaaS) that allows developers to create, run, and maintain applications entirely in the cloud.
Classification: Categorizing into different groups accordingly.
EHealth: Information and communication technology (ICT) is being used in health and health-related services.
COVID-19: A viral infection that results in severe acute respiratory failure.
Confusion Matrix: A confusion matrix is a table that shows how well a classification model (or “classifier”) performs on a set of test data for which the real values are known.
COPD: Chronic Obstructive Pulmonary Disease is a term for a group of disorders that obstruct the airways and make it difficult to breathe.