Using AI for Early Detection of Illnesses such as Malaria

Detecting malaria can be stressful for most doctors. It requires expertise and relevant experiences to both reduce and eventually eliminate false positive and false negative diagnoses. Add to that antimalarial drugs are becoming less effective as the parasite has become increasingly drug-resistant and the traditional disease discovery methods are both time-consuming and resource intensive. Artificial Intelligence (AI) can help relieve this problem. Leveraging existing data, AI could be used to learn patterns within the data to detect malaria in patients with a higher degree of accuracy. This paper attempts to find a suitable AI-based model to accurately detect malaria in patients.