Liverpool, United Kingdom
Liverpool, United Kingdom

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Aljaaf A.J.,Applied Computing Research Group | Al-Jumeily D.,Applied Computing Research Group | Hussain A.J.,Applied Computing Research Group | Lamb D.,Applied Computing Research Group | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Artificial Intelligence techniques have been increasingly used in medical decision support systems to aid physicians in their diagnosis procedures; making decisions more accurate and effective, minimizing medical errors, improving patient safety and reducing costs. Our research study indicates that it is difficult to compare different artificial intelligence techniques which are utilised to solve various medical decision-making problems using different data models. This makes it difficult to find out the most useful artificial intelligence technique among them. This paper proposes a classification approach that would facilitate the selection of an appropriate artificial intelligence technique to solve a particular medical decision making problem. This classification is based on observations of previous research studies. © 2014 Springer International Publishing Switzerland.

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