Disease prediction

Health information needs are also changing the information seeking behaviour and can be observed around the globe. Challenges faced by many people are looking online for health information regarding diseases, diagnoses and different treatments. This report will concern the development of algo

Project Title

Disease prediction

Project Area of Specialization

Software Engineering

Project Summary

Health information needs are also changing the information seeking behaviour and can be observed around the globe. Challenges faced by many people are looking online for health information regarding diseases, diagnoses and different treatments.

This report will concern the development of algorithm for disease prediction using real life data. The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions. In this study, we have work on 5 different diseases.

For providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. We have developed the algorithm based on different techniques which are suitable for specially this type of data. We have converted the data of 1200 words document to one .CSV dataset. The obtained results have illustrated that the dataset can effectively work if we applied Machine Learning algorithms for prediction. After this we have done feature engineering on some column for the cleaning of data and arrangement of data. The system uses 25 to 30 medical parameters to predict a disease.

Project Objectives

The main objective of this research is to develop a disease prediction system. The system can discover and extract hidden knowledge associated with diseases from a historical real life data. Disease prediction system aims to exploit data mining techniques on medical data to assist in the prediction of the diseases.

The scope of the project is that integration of clinical decision support with compute based patient records could 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.

Project Implementation Method

1. Research Design

I will be using the experimental type of research design. It is a quantitative research method. Basically, it is a research conducted with a scientific approach, where a set of variables are kept constant while other set of variables are being measured as the subject of the experiment. This is more practically while conducting face recognition and detection as it monitors the behaviors and patterns of a subject to be used to acknowledge whether the subject matches all details presented and cross checked with previous data. It is an effect research method as it is time bound and focuses on the relationship between the variables that give actual results.

1. System Development Methodology

The methodology of software development is the method in managing project development. The methodology is a system comprising steps that transform raw data into recognized data patterns to extract knowledge for data There are many models of the methodology are available such as Waterfall model, Incremental model, RAD model, Agile model, Iterative model and Spiral model. However, we have use Spiral model in the project because it is an iterative method and we are working on the real life data so it is possible that we may have problems in getting the require accuracy and results.

There are four phases that involve in the spiral model:

1. Planning Phase

At this phase, the requirement is collected and risk is assessed. The title of the project has been discussed with project supervisor. From that discussion, making of dataset from word documents has been proposed. The requirement and risk was assessed after doing study on existing system and does literature review about another existing research.

1. Risk analysis Phase

At this phase, the risk and alternative solution are identified. A prototype are created at the end this phase. If there is any risk during this phase, there will be suggestion about alternate solution.

1. Engineering phase

In this phase, a software are created and testing are done at the end this phase.

1. Evaluation phase

In this phase, the user does evaluation toward the software. It will be done after the system are presented and the user do test whether the system meet with their expectation and requirement or not. If there is any error, user can tell the problem about system.

Benefits of the Project

With the rise in number of patient and disease every year medical system is overloaded and with time has become overpriced in many countries. Most of the disease involves a consultation with doctors to get treated. With sufficient data prediction of disease by an algorithm can be very easy and cheap. Prediction of disease by looking at the symptoms is an integral part of treatment. In our project we have tried accurately predict a disease by looking at the symptoms of the patient. We have used different techniques for this purpose. Such a system can have a very large potential in medical treatment of the future.

Technical Details of Final Deliverable

The data for this research was taken from hospital. The data has been converted into the .CSV form the word documents using python script then the Data mining, Data cleaning, Data engineering, Feature engineering and preprocessed before it is submitted to the proposed algorithm for training and testing. The overall objective of our work is to predict more accurately the presence of disease. Attributes with categorical values were converted to numerical values since most machine learning algorithms require integer values. Additionally, dummy variables were created for variables with more than two categories.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Medical

Core Technology

Big Data

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com