Diagnosis of Liver Diseases using Machine Learning

被引：0

作者：

Sontakke, Sumedh ^{[2
]}

Lohokare, Jay ^{[1
]}

Dani, Reshul ^{[1
]}

机构：

[1] Coll Engn, Dept Comp & IT, Pune, Maharashtra, India

[2] Coll Engn, Dept Elect Engn, Pune, Maharashtra, India

来源：

2017 INTERNATIONAL CONFERENCE ON EMERGING TRENDS & INNOVATION IN ICT (ICEI) | 2017年

关键词：

Artificial Neural Networks; Machine Learning; Bioinformatics; TRANSCRIPTOME;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Liver Diseases account for over 2.4% of Indian deaths per annum. [14] Liver disease is also difficult to diagnose in the early stages owing to subtle symptoms. Often the symptoms become apparent when it is too late. [1] This paper aims to improve diagnosis of liver diseases by exploring 2 methods of identification-patient parameters and genome expression. The paper also discusses the computational algorithms that can be used in the aforementioned methodology and lists demerits. It proposes methods to improve the efficiency of these algorithms.

引用

页码：129 / 133

页数：5

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