Abstract
Clinical decision support systems are meant to improve the quality of decision-making in healthcare.
Artificial intelligence is the science of creating intelligent systems that solve complex problems at the
level of or better than human experts. Combining artificial intelligence methods into clinical decision
support will enable the utilization of large quantities of data to produce relevant decision-making
information to practitioners. This article examines various artificial intelligence methodologies
and shows how they may be incorporated into clinical decision-making systems. A framework for
describing artificial intelligence applications in clinical decision support systems is presented.
Original language | American English |
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Journal | International Journal of Computers in Clinical Practice |
Volume | 3 |
DOIs | |
State | Published - 2018 |
Keywords
- Artificial Intelligence
- Artificial Neural Networks
- Clinical Decision Support
- Diagnosis
- Genetic Algorithms
- Knowledge-based Systems
- Prognosis
Disciplines
- Health Information Technology