publication . Article . Other literature type . 2017

Machine Learning approaches to the application of Disease Modifying Therapy for Sickle Cell using Classification Models

Khalaf, Mohammed; Hussain, Abir Jaafar; Keight, Robert; Al-Jumeily, Dhiya; Fergus, Paul; Keenan, Russell; Tso, Posco;
Open Access English
  • Published: 01 Mar 2017
  • Publisher: Elsevier
  • Country: United Kingdom
Abstract
This paper discusses the use of machine learning techniques for the classification of medical data, specifically for guiding disease modifying therapies for Sickle Cell. Extensive research has indicated that machine learning approaches generate significant improvements when used for the pre-processing of medical time-series data signals and have assisted in obtaining high accuracy in the classification of medical data. The aim of this paper is to present findings for several classes of learning algorithm for medically related problems. The initial case study addressed in this paper involves classifying the dosage of medication required for the treatment of patie...
Subjects
free text keywords: QA75, RZ, Cognitive Neuroscience, Artificial Intelligence, Computer Science Applications, Random forest, Feedforward neural network, Machine learning, computer.software_genre, computer, Data mining, Dynamic neural network, business.industry, business, Disease, Computer science
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