Decision support systems to identify different species of malarial parasites

In this project, medical expert systems were designed to aid technicians, students and scientists in identifying various species of malarial parasite from blood smears. The rule based system was found to intelligently ask pertinent questions to accurately and efficiently identify the species of mala...

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Bibliographic Details
Published in:AMIA ... Annual Symposium proceedings 2003, Vol.2003, p.1006-1006
Main Authors: Shankar, Prabhu, Walji, Muhammad, Ali, Asma, Johnson-Throop, Kathy A
Format: Article
Language:English
Subjects:
Animals
Bayes Theorem
Decision Making, Computer-Assisted
Decision Support Systems, Clinical
Expert Systems
Humans
Malaria - diagnosis
Malaria - parasitology
Plasmodium
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Summary:In this project, medical expert systems were designed to aid technicians, students and scientists in identifying various species of malarial parasite from blood smears. The rule based system was found to intelligently ask pertinent questions to accurately and efficiently identify the species of malarial parasite. The probabilistic system provided quantitative feedback as to the likelihood of a diagnosis of a species of malaria. Medical expert systems can potentially streamline the process of malarial species identification, and can aid in training new technicians and scientists in this important skill.
ISSN:1559-4076