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
Design, Analysis and Fabrication of Steering System Used in Student Formula Car
This thesis aims to highlight the design, modelling and explore the theories and techniques behind procedures of developing a rack and pinion steering system for student formula vehicle. This newly designed mechanism wi...
Vehicle Accident Prevention System Embedded with Alcohol Detector
the main aim of this project is to develop a system that can detect the alcohol content in the air exhaled by the driver and automatically turn off the car if alcohol percentage exceeds the limit. In this project we are...
Snubberless Soft-switching (zcs/zvs) Closed loop Current-fed Half-bridge Converter Based PV Inverter
Snubber circuit dissipates some amount of the output power along with increase in circulating current through the components, increasing their conduction losses and also increases the components count, converter complex...
Home Automation and Security System
Home security systems combines a constantly, year after year, developing research field. Very few of these systems are limited to support basic operations, while some others satisfy a range of additional primitives. In...
Investigation and Control of Slider Crank of A Prototype of Password Controlled Security Door Through Arduino Uno
This paper proposes a better control of slider crank mechanism using an Arduino UNO board. The controlled displacement of slider is further fed directly to an automatic password secured door to explore the extent of app...