PROJECT TITLE :

Computer-Aided Diagnosis of Chronic Kidney Disease in Developing Countries A Comparative Analysis of Machine Learning Techniques

ABSTRACT:

The high incidence and prevalence of chronic kidney disease (CKD), which is sometimes caused by late diagnosis, is a major public health issue, particularly in developing nations like Brazil. Dialysis and kidney transplantation are examples of CKD treatment treatments that raise morbidity and mortality rates while also increasing public health expenses. The use of Machine Learning techniques to aid in the early detection of CKD in underdeveloped nations is examined in this study. A systematic literature review and an experiment with Machine Learning approaches, employing the k-fold cross-validation method based on the Weka software and a CKD dataset, are used to undertake qualitative and quantitative comparative evaluations, respectively. These findings enable a discussion on the applicability of Machine Learning techniques for CKD risk screening, with a focus on low-income and hard-to-reach settings in developing nations, due to the unique challenges they confront, such as poor primary health care. The study findings show that the J48 decision tree is a suitable Machine Learning technique for such screening in developing countries, owing to the ease with which its classification results can be interpreted, with 95.00 percent accuracy and nearly perfect agreement with the opinion of an experienced nephrologist. Random forest, naive Bayes, support vector machine, multilayer perceptron, and k-nearest neighbor techniques, on the other hand, produce 93.33 percent, 88.33 percent, 76.66 percent, 75.00 percent, and 71.67 percent accuracy, respectively, indicating at least moderate agreement with the nephrologist at the cost of a more difficult interpretation of the classification results.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Short Text Topic Modeling Techniques, Applications, and Performance: A Survey ABSTRACT: The semantic understanding of short texts is required for a wide variety of real-world applications, so their analysis allows
PROJECT TITLE : A Survey on Modern Deep Neural Network for Traffic Prediction Trends, Methods and Challenges ABSTRACT: In this current era, traffic congestion has evolved into a major source of severe adverse effects on both
PROJECT TITLE :Developing a Spectral-Based Strategy for Urban Object Detection From Airborne Hyperspectral TIR and Visible DataABSTRACT:Classification and detection of urban objects are massive challenges for years. High spatial
PROJECT TITLE :Developing the World?s First Portable Medical Robot for Autonomous Venipuncture [Industrial Activities]ABSTRACT:Within the past decade, robotic technology has slowly made its push into the medical field. Advanced
PROJECT TITLE :The CRISPR Conundrum: As Millions of Dollars Flow into Developing the Gene-Editing Tool, Scientists Continue to Discover the Technology?s Potential and PitfallsABSTRACT:We have a tendency to are in the midst of

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry