Decision support systems to identify different species of malarial parasites.

Prabhu Rv Shankar, Muhammad Walji, Asma Ali, Kathy A. Johnson-Throop

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1006
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)


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