Voice-Enabled Informatics Software for Correct Dosage Prescription&Validation of Anti-malarial drugs
Malaria is a public health menace consistently inherent in many Sub-Sahara African countries. With respect to medications; there are many issues of concern. These include: wrong diagnosis and wrong dosage administration of anti-malaria drugs on affected patients; Many complications have resulted ranging from severe headaches, stomach and body discomfort, blurred vision, dizziness, hallucinations, and in extreme cases, death.
Various informatics software have been developed to support different infectious and communicable disease diagnoses, but not certain of any yet, that have been specifically designed as a voice-enabled application to diagnose and translate malaria patients’ symptomatic data for pre-laboratory screening and correct prescription of correct dosage of the appropriate medication.
Malaria voice-enabled computational fuzzy informatics software for correct dosage prescription of anti-malarial drugs (Malavefes, henceforth) was developed using a cocktail of programming languages (Visual Basic.NET. and Java).
This work is novel and currently impacting the fields of drug informatics, malaria control, and bioinformatics.
It has sensitized and still sensitizing the public to the (i) dangers of self-medication of anti-malaria drugs (ii) wrong prescription of anti-malaria drugs by fake pharmacists; (iii) it has elucidated insight into the integration of voice-computing into informatics and bioinformatics tools to promote public health (iv) it has elucidated a new research direction in the development of voice-based/voice-enabled bioinformatics and informatics tools in indigenous African, European, Asian and American languages for promoting public health (v) it has opened up new opportunities for resource development in bioinformatics, and computational biology especially for malaria researchers. The user-experience and performance evaluation of Malavefes software was impressive.
Related reference: http://www.sciencedirect.com/science/article/pii/S1319157817301064
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