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What is Machine Learning Methods

Early Detection of Neurological Disorders Using Machine Learning Systems
Can be grouped as supervised learning, unsupervised learning, and reinforcement learning.
Published in Chapter:
Intelligent Big Data Analytics in Health
Ebru Aydindag Bayrak (Istanbul University – Cerrahpaşa, Turkey) and Pinar Kirci (Istanbul University – Cerrahpaşa, Turkey)
DOI: 10.4018/978-1-5225-8567-1.ch014
Abstract
Intelligent big data analytics and machine learning systems have been introduced to explain for the early diagnosis of neurological disorders. A number of scholarly researches about intelligent big data analytics in healthcare and machine learning system used in the healthcare system have been mentioned. The authors have explained the definition of big data, big data samples, and big data analytics. But the main goal is helping researchers or specialists in providing opinion about diagnosing or predicting neurological disorders using intelligent big data analytics and machine learning. Therefore, they focused on the healthcare systems using these innovative ways in particular. The information of platform and tools about big data analytics in healthcare is investigated. Numerous academic studies based on the detection of neurological disorders using both machine learning methods and big data analytics have been reviewed.
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Computational Tools and Techniques to Predict Aquatic Toxicity of Some Halogenated Pollutants
Obtained from the study of pattern recognition and computational learning theory in artificial intelligence.
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Visual Analysis of Cardiac Arrest Prediction Using Machine Learning Algorithms: A Health Education Awareness Initiative
Machine learning is an AI method that teaches computers to learn from experience. Instead of depending on a predetermined equation as a model, machine learning methods utilize computational intelligence techniques to learn and gain insights directly from data.
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