TY - JOUR
T1 - Decision support systems to identify different species of malarial parasites.
AU - Shankar, Prabhu Rv
AU - Walji, Muhammad
AU - Ali, Asma
AU - Johnson-Throop, Kathy A.
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=16544375244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=16544375244&partnerID=8YFLogxK
M3 - Article
C2 - 14728509
AN - SCOPUS:16544375244
SP - 1006
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
SN - 1559-4076
ER -