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https://www.ripublication.com/irph/ijict_spl/04_ijictv3n7spl.pdf
decision support system for mosquito born disease diagnosis, where medical experts are not easily available i.e. rural areas (or) remote areas. It is a symptom based decision support system, while designing the decision support system we kept this face in mind that the
http://www.nationalacademies.org/hmd/~/media/Files/Activity%20Files/PublicHealth/MicrobialThreats/Coleman.pdf
The Malaria Decision Support System (MDSS) is an integrated operational model that allows for best practice, operational feasibility and utility for the collation, retrieval, analysis and dissemination of information relevant to vector control-based malaria programmes.
https://www.sciencedirect.com/science/article/pii/S0957417410006962
The purpose of this study is to make the case for the utility of decision support systems (DSS) in the diagnosis of malaria and to conduct a case comparison of the effectiveness of the fuzzy and the AHP methodologies in the medical diagnosis of malaria, in order to provide a framework for determining the appropriate kernel in a fuzzy–AHP hybrid system.Cited by: 59
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389088/
This paper describes development of a decision support system for diagnosis of malaria using color image analysis. A hematologist has to study around 100 to 300 microscopic views of Giemsa-stained thin blood smear images to detect malaria parasites, evaluate the extent of infection and to identify the species of the parasite.Cited by: 27
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480132/
Decision support systems or medical expert systems are created as an aid in decision making in healthcare 1. The goals of such systems are to provide a methodological and accurate system that can mimic or model some aspect of healthcare knowledge.Cited by: 2
https://malariajournal.biomedcentral.com/articles/10.1186/s12936-016-1235-4
Mar 22, 2016 · Bhutan has reduced its malaria incidence significantly in the last 5 years, and is aiming for malaria elimination by 2016. To assist with the management of the Bhutanese malaria elimination programme a spatial decision support system (SDSS) was developed. The current study aims to describe SDSS development and evaluate SDSS utility and acceptability through informant interviews.Author: Kinley Wangdi
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