Machine Learning Cases in Clinical and Biomedical Domains
- Author:
Mohd Zulfaezal Che Azemin
1
Author Information
1. Department of Optometry and Visual Science, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, Malaysia
- Publication Type:Original Article
- Keywords:
Machine Learning;
Artificial Neural Network;
Aql;
Intellect;
Dataset
- From:
The International Medical Journal Malaysia
2018;17(2):135-140
- CountryMalaysia
- Language:English
-
Abstract:
The aim of this paper is twofold: Firstly, to provide introductory knowledge to the reader who has little orno knowledge of machine learning with examples of applications in clinical and biomedical domains, andsecondly, to compare and contrast the concept of Artificial Neural Network (ANN) and the Qur’anic conceptof intellect (aql) in the Qur’an. Learning algorithm can generally be categorised into supervised andunsupervised learning. To better understand the machine learning concept, hypothetical data of glaucomacases are presented. ANN is then selected as an example of supervised learning and the underlyingprinciples in ANN are presented with general audience in mind with an attempt to relate the mechanismemployed in the algorithm with Qur’anic verses containing the verbs derived from aql. The applications ofmachine learning in clinical and biomedical domains are briefly demonstrated based on the author’s ownresearch and most recent examples available from University of California, Irvine Machine LearningRepository. Selected verses which indicate motivation to use the intellect in positive manners and rebuke tothose who do not activate the intellect are presented. The evidence found from the verses suggests thatANN shares similar learning process to achieve belief (iman) by analysing the similitudes (amsal) introducedto the algorithm.
