Journal of Health & Medical Informatics

Jong Taek Kim

Publications

• Research Article
  Application of Machine and Deep Learning Algorithms in Intelligent Clinical Decision Support Systems in Healthcare
  Author(s): Jong Taek KimJong Taek Kim
  
  Objective: The purpose of this paper is to review the PubMed/MEDLINE literature for articles that discuss the use of machine learning (ML) and deep learning (DL) for clinical decision support systems (CDSSs). Materials and Methods: To identify relevant articles, we searched PubMed/MEDLINE through December 2nd, 2017. We identified a total of 283 studies. Results: The number of ML and DL associated CDSS articles increased significantly beginning around 2010. The most common type of advanced artificial intelligence (AI) methodologies that the articles evaluated was neural networks also known as DL (n=109) followed by ML (n=86). The most common types of ML algorithm were support vector machines (n=78), logistic regression analysis (n=38), random forest (n=26), decision tree (n=25), and k-nearest neighbour (n=21). Cardi.. Read More»
  DOI: 10.4172/2157-7420.1000321

  Abstract PDF