Healthcare Analysis using Mining Algorithm on Mobile Technology

The healthcare analysis for the patient through the consulting service using mobile technology is proposed in this paper. A new MMM (Min Mapping Miner) process mining algorithm is introduced to overcome the limitation of existing pitfalls in H Mine algorithm. This algorithm has a unique feature. It uses limited memory and can work in parallel process. The analysis of healthcare handled with MMM, is actually a frequent pattern mining algorithm. The MMM frequent pattern mining algorithm has better confidence and performance for different treatment process for patients, where the doctors can envisage combination of treatments in the consulting service. Till now, the patient treatment has been represented using text or graphical representation, where as the MMM algorithm can represent using association rules. The confidences of association rules are exact to comprehend the patient treatment diagnosing process. The major focus of this article is to deal with the flow of treatment process in mobile device. A mobile technology is used to give the prompt understanding of the treatment given by the doctors to the patients, which are recorded in the form of event logs and stored as historical data. Hence, this development primarily contributes to knowledge discovery of various healthcare treatment diagnoses for the patient consulting services.