A hybrid machine learning approach to identify coronary diseases using feature selection mechanism on heart disease dataset

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Distributed and Parallel Databases Pub Date : 2021-03-15 DOI:10.1007/s10619-021-07329-y

Bhanu Prakash Doppala, D. Bhattacharyya, Midhun Chakkravarthy, Tai-hoon Kim

引用次数: 10

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基于特征选择机制的混合机器学习方法在心脏病数据集上识别冠心病

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Distributed and Parallel Databases 工程技术-计算机：理论方法

CiteScore

3.50

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including: Availability and reliability; Benchmarking and performance evaluation, and tuning; Big Data Storage and Processing; Cloud Computing and Database-as-a-Service; Crowdsourcing; Data curation, annotation and provenance; Data integration, metadata Management, and interoperability; Data models, semantics, query languages; Data mining and knowledge discovery; Data privacy, security, trust; Data provenance, workflows, Scientific Data Management; Data visualization and interactive data exploration; Data warehousing, OLAP, Analytics; Graph data management, RDF, social networks; Information Extraction and Data Cleaning; Middleware and Workflow Management; Modern Hardware and In-Memory Database Systems; Query Processing and Optimization; Semantic Web and open data; Social Networks; Storage, indexing, and physical database design; Streams, sensor networks, and complex event processing; Strings, Texts, and Keyword Search; Spatial, temporal, and spatio-temporal databases; Transaction processing; Uncertain, probabilistic, and approximate databases.