Liver Disease Prognosis Based on Clinical Parameters Using Machine Learning Approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
We are living in the era of Machine Learning. The use of Machine Learning in medical diagnosis of various diseases increases many fold in recent years. In this Paper we had made an attempt to demonstrate an analytical approach for prediction of liver diseases in patients using probabilistic models of machine learning based on KSVM, SVM and KKNN. The technique used for classification and prediction are based on recognizing typical and diagnostically most important clinical features considered responsible for liver diseases. The main contributions of the research involve predicting the probability of each case against Class ‘A’ belonging to Non Diseased group and Class ‘B’ belonging to group of diseased patients. The analysis confirmed high risk and low risk patients as predicted by the probabilistic model.
Authors and Affiliations
Ayushi . , Amit Sharma, Vinod Sharma, Dr. Rajeev Gupta
Keywords
Related Articles
- EP ID EP24704
- DOI -
- Views 373
- Downloads 13
Spatio Temporal Dynamic Routing Protocol for Wireless Rechargeable Sensor Network using Heuristic based Jointly Coupling of Link and Battery Constrainst
The velocity control of the mobile chargers travelling the irregular 2D Trajectories is optimized using the Spatio Temporal Dynamic Routing (STDR) Technique to Rechargeable Wireless Sensor Network in order to extend the...
Simulation Model and Protocol for Energy Efficient Routing Through AODV
In recent years, mobile ad hoc networks have played an increasingly important role in a wide range of applications. A wireless ad hoc network consists of various mobile, self organized and battery–powered wireless devic...
A Study on the Review Classification Technique Using Micro Reviews
Information mining in micro-blogging sites has been studied extensively; micro-reviews are a source of content that has been largely overlooked in the literature. In this paper micro-reviews, and can be used for the pro...
Iot Based Smart Parking System
In modern days concepts of smart cities have gained grater popularity. Problems like limited car parking services and road safety are being addressed by IoT. In this thesis an IoT based cloud integrated smart parking sy...
Design of Five Level Inverter Configuration With Boost Converter in a Photovoltaic System
This paper displays an investigation and an outline of a basic single stage five level inverter for PV applications. The framework is made out of a dc-dc multilevel lift converter which is utilized for producing two vol...