Anti Sleep Alarm for Driver

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

Among all fatal disease, heart attacks diseases are considered as the most prevalent. Medical specialist conduct different surveys on heart diseases and gather information of heart patients, their symptoms and disease progression. Mostly patients are reported with common diseases who have typical symptoms. In this fast moving world people want to live a very luxurious life so they work like a machine in order to earn lot of money and live a comfortable life therefore in this race they forget to take care of themselves, because of this there food habits change their entire lifestyle change, in this type of lifestyle they are more tensed they have blood pressure, sugar at a very young age and they don’t give enough rest for themselves and eat what they get and they even don’t bother about the quality of the food.

Project Objectives

Data mining has been used in a variety of applications such as marketing, customer relationship management, engineering, and medicine analysis, expert prediction, web mining and mobile computing. Of late, data mining has been applied successfully in healthcare fraud and detecting abuse cases.

Project Implementation Method

Data analysis proves to be crucial in the medical field. It provides a meaningful base to critical decisions. It helps to create a complete study proposal. One of the most important uses of data analysis is that it helps in keeping human bias away from medical conclusion with the help of proper statistical treatment. By use of data mining for exploratory analysis because of nontrivial information in large volumes of data.

Benefits of the Project

The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions for providing appropriate results and making effective decisions on data, some data mining techniques are used to better the experience and conclusion that have been given. Heart disease detection system will use the data mining knowledge to give a user-oriented approach to new and hidden patterns in the data. The knowledge which is implemented can be used by the healthcare experts to get better quality of service and to reduce the extent of adverse medicine effect.

Technical Details of Final Deliverable

Clinical decisions are often made based on doctors insight and experience rather than on the knowledge hidden in the dataset. This practice leads to different barriers, errors and excessive medical costs which affects the quality of service provided to patients. The proposed system will integrate clinical decision support with computer-based patient records (Data Sets). This will reduce medical errors, enhance patient safety, decrease unwanted practice variation, and improve patient outcome. This suggestion is promising as data modeling and analysis tools, e.g., data mining, have the potential to generate a knowledge rich environment which can help to significantly improve the quality of clinical decisions.