ABSTRACT
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Smart Healthcare Prediction System is a powerful system that can helps user to recognize their illness by sharing their symptoms and issues. It is a system about the development of a system to predict whether a person have the probability to have specific disease that fulfill all the criteria that was mentioned earlier. The development of Smart Healthcare Prediction System is based on Weighted-Sum method that using multiple criteria in making a decision. The weighted sum method (WSM) is the best known and simplest multi-criteria decision analysis (MCDA) or multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria. This system had been proposed to make easier to a person that has difficulty in meeting their doctor due to some reasons. The goal of this system is to give the information to the user whether they have the probability to have that disease or not. Smart Healthcare Prediction System also will allows user to get some instant guidance based on their health issues. For this system, I have some limitation on it which is this system only can analysis a few diseases. Smart Healthcare Prediction System is a powerful system that can helps user to recognize their illness by sharing their symptoms and issues. It is a system about the development of a system to predict whether a person have the probability to have specific disease that fulfill all the criteria that was mentioned earlier. The development of Smart Healthcare Prediction System is based on Weighted-Sum method that using multiple criteria in making a decision. The weighted sum method (WSM) is the best known and simplest multi-criteria decision analysis (MCDA) or multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria. This system had been proposed to make easier to a person that has difficulty in meeting their doctor due to some reasons. The goal of this system is to give the information to the user whether they have the probability to have that disease or not. Smart Healthcare Prediction System also will allows user to get some instant guidance based on their health issues. For this system, I have some limitation on it which is this system only can analysis a few diseases.
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INTRODUCTION
•System that can make easy for users to predict their health without consuming much time.
•Simple system where user just need to answer a few sets of questionnaire based on criteria or symptoms that was provided. •Used to predict diabetes, hypertension, heart attack and kidney failure disease. •Used Weighted Sum Model as a method to solving the Multiple-Criteria Decision Making problems. •Used Rule-Based Method for sort out the suitable advices and risk. |
OBJECTIVES
•To develop a system that satisfied all the requirement in minimize time consuming to go to clinic for the check-up.
•To test that system are well function to check the possibility whether that person have the probability to have that disease or not. •To analyze the stage for measuring performance and identifying opportunities for improvement the old system. |
METHODOLOGY
FRAMEWORK
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ALGORITHM
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RESULTS
CONCLUSION
•In conclusion, this system will predict what kind of illness that you may be suffer from.
•These project was using Weighted Sum Model to assigning weights of the evaluation criteria to make sure it can produce the most accurate ratio of the criteria based on the relative level of importance. •This system may give the instant guidance to the user to follow up to reduce their illness. •Developing this project would not have been possible without studying related and existing works. |