Blood Diseases Detection using Classical Machine Learning Algorithms
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 7
Abstract
Blood analysis is an essential indicator for many diseases; it contains several parameters which are a sign for specific blood diseases. For predicting the disease according to the blood analysis, patterns that lead to identifying the disease precisely should be recognized. Machine learning is the field responsible for building models for predicting the output based on previous data. The accuracy of machine learning algorithms is based on the quality of collected data for the learning process; this research presents a novel benchmark data set that contains 668 records. The data set is collected and verified by expert physicians from highly trusted sources. Several classical machine learning algorithms are tested and achieved promising results.
Authors and Affiliations
Fahad Kamal Alsheref, Wael Hassan Gomaa
Keywords
Related Articles
- EP ID EP611208
- DOI 10.14569/IJACSA.2019.0100712
- Views 93
- Downloads 0
Face Retrieval Based On Local Binary Pattern and Its Variants: A Comprehensive Study
Face retrieval (FR) is one of the specific fields in content-based image retrieval (CBIR). Its aim is to search relevant faces in large database based on the contents of the images rather than the metadata. It has many a...
Cloud Computing Auditing
Cloud Computing is a new form of IT system and infrastructure outsourcing as an alternative to traditional IT Outsourcing (ITO). Hence, migration to cloud computing is rapidly growing among organizations. Adopting this t...
A Hybrid Data Mining Approach for Intrusion Detection on Imbalanced NSL-KDD Dataset
Intrusion detection systems aim to detect malicious viruses from computer and network traffic, which is not possible using common firewall. Most intrusion detection systems are developed based on machine learning techniq...
Development and Evaluation of Massive Open Online Course (MOOC) as a Supplementary Learning Tool: An Initial Study
The popularity of Massive Open Online Courses (MOOCs) is prevalent among researchers and practitioners as a new paradigm of open education resource. Since the development of this technology may entail enormous investment...
A Correlation based Approach to Differentiate between an Event and Noise in Internet of Things
Internet of Things (IoT) is considered a huge enhancement in the field of information technology. IoT is the integration of physical devices which are embedded with electronics, software, sensors, and connectivity that a...