Development of An Android-Based Expert System for Malaria Diagnosis

Malaria, a widespread and potentially deadly disease affecting millions annually, underscores the urgent need for early detection to mitigate its impact on individuals and communities. Harnessing the ubiquitous presence of smartphones, an Android-based expert system emerges as a promising solution. This research endeavors to develop such a system using Android Studio, aimed at aiding healthcare professionals in malaria diagnosis.The Android-based expert system offers a timely and precise diagnosis by leveraging patient-reported symptoms and medical history. Additionally, it furnishes educational materials on malaria prevention and management, bolstering public awareness and proactive measures against the disease. Through rigorous evaluation, this study advocates for the widespread adoption of the malaria expert system, under the supervision of medical practitioners, to expedite diagnosis and streamline healthcare delivery. Future iterations of this research should delve into refining the system's capability to discern the specific type of malaria infection afflicting the user. In conclusion, the creation of an Android-based expert system for malaria detection is a noteworthy advancement in the use of technology to battle a widespread health risk. Embracing this innovative approach stands to enhance early detection efforts and ultimately alleviate the burden of malaria on global health systems and communities.