Smart health prediction system
Abstract : Machine learning is a powerful technique which can increase the efficiency and accuracy in disease prediction. In current scenario there is a need for efficient machine learning models that can be used in healthcare system to predict the specific diseases by monitoring the patient’s symptoms over a period. But there exist very few studies pertaining to algorithms that can be used to predict a general set of diseases, not restricted to one field of medicine. Also, rise in the field of machine learning technology is widely used in various fields. Now it has various applications in the field of health industry. It works as a helping hand in the field of healthcare by analyzing the healthcare records and patient data. The aim of this study is to produce an effective application of machine learning algorithm for health prediction that can eventually shape a suitable health prediction system for patients. This project hopes to implement a system which not only predicts the disease but also provides the suitable methodologies to cure them and give information regarding those methodologies and the doctors who can treat that disease. So we are implementing Medi-Insight: A smart health prediction system with the help of Naive Bayes algorithm for disease prediction which helps to make the better medical decisions and also for rise in the accuracy. As accurate analysis of the prediction of disease helps in the patient care and the society services. Disease prediction can be easier with the help of various tools, algorithms and framework provided by the machine learning. Thus this study proposes a framework that enables clients to get suitable direction on their medical problems through a smart health prediction system.
? There exist very few studies pertaining to algorithms that can be used to predict a general set of diseases, not restricted to one field of medicine.
? The proposed system is designed to overcome the existing system’s flaws and provide instance guidance to patients.
? This study does not encompass the complete analysis of all existing data mining algorithms and real-time healthcare dataset.
? However, future research may be directed towards the selection of the best suitable data mining algorithm through the analysis of all existing algorithms.
? Due to the problem in the difficulty of identifying a disease until its later stages, both patients and medical service providers are facing inappropriate activities and operations daily that leads to a decrease in efficiency of identifying the disease.
? This signifies the severity and influence of the point at issue, the point being why using machine learning algorithms are critical to making sure misdiagnosis is reduced.
? To deal with this issue, we came up with Smart Health Prediction application that provides patients with a better way to deal with such scenarios.
? Data mining can be described as a process of searching patterns or correlations from a large data sets to valuable information that can solve problems and predict outcomes.
• The proposed system is designed to overcome the existing system’s flaws and provide instance guidance to patients.
• The pandemic situation has led to the shortage of doctors. Also there are numerous other situations like late night emergencies, curfews, etc. Also many forms of medicine are not considered by patients due to lack of knowledge about them.
• The main objective of our application is to provide timely guidance to patients in such situations and help them in availing the best possible treatment.
• In our system the diseases are predicted automatically by the system using our model which is trained on the medical dataset.
? This technique is very efficient in natural language processing or whenever the samples are composed starting from a common dictionary.
? The system will be implemented with data-mining algorithms that may cleverly deduce the disease that they bear by correlating the information given by the patient with the health information the doctors and medical professional provide and that is stored in a database, the entire process would efficiently reduce the time consumption and challenging efforts that doctors put themselves into for making a clinical decision.
? These finding may provide a beneficial advantage in the healthcare industry as it may be used to manage patients on their current health issues and for the doctor to alleviate them from their jobs.
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