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 351
- Downloads 13
Ethanol Fuelled SI Engine For The Measurement Of Acetaldehyde Emission
The Ethanol-gasoline blend is utilized in this work to measure the acetaldehyde (CH3CHO) coming out from the engine exhaust using the alcohol/gasoline blends by the following method and to Characterize the aldehyde emis...
Design of Transmission System for Mini-Train
The mini train rides are commonly seen rides in amusement parks. The study is based on a mini train operating at Vismaya amusement park, Kannur. During its operation, the mini train had frequent problems related to powe...
Comparison and Study of Different Image Denoising Techniques
Image denoising is a technique which removes out noise which is added in the original image. Noise reduction is an important part of image processing systems. An image is always affected by noise. Image quality may get...
An Optimized Survey on Security Issues in Mobile Adhoc Network
Security has become a prime concern in order to provide protected communication between mobile nodes in a hostile environment. Unlike the wire line networks, the unique characteristics of mobile ad hoc networks pose a n...
Determination of Soil Compaction Levels by Agricultural Machinery in Cultivated Fields Using Dynamic Cone Penetrometer
The increasing soil degradation due to soil compaction may be linked to the increase in weight of agricultural machinery, in the more use of machinery even under unfavourable soil conditions and to poor crop rotation. T...