A NOVEL CONSTRAINED BASED SEQUENCE PATTERN MINING FOR MEDICAL RECORDS
The key objective of the paper is to provide a new model of constrained based sequential patterns
for efficient computation. Mining is the serious concern in the field of medical science to detect the
different kinds of disease and symptoms among the patients information. To overcome the problem to
introduces a new constrained based sequential pattern for efficient computation in the field of
medical. Generally, every hospital has maintained the patient’s details of visiting information such as
date and time. The patient data’s were recorded in the order of date and time to visit the hospital
because its help to find out the causes and effects of a disease among the human. Our proposed
methodology named as Novel Constrained Based Frequent Pattern Mining (NCBFPM) to consider
the attribute of time for causes and effects of diseases. The proposed method has extracts the frequent
of disease which occurred during the time intervals. The evaluation of the performance has conducted
in the real-time medical records and its produce better efficacy than existing system.
Keywords: Pattern mining, Time intervals, Patient records, disease.