A distinct approach to diagnose Dengue Fever with the help of Soft Set
  Theory
  Mathematics has played a substantial role to revolutionize the medical
science. Intelligent systems based on mathematical theories have proved to be
efficient in diagnosing various diseases. In this paper, we used an expert
system based on soft set theory and fuzzy set theory named as a soft expert
system to diagnose tropical disease dengue. The objective to use soft expert
system is to predict the risk level of a patient having dengue fever by using
input variables like age, TLC, SGOT, platelets count and blood pressure. The
proposed method explicitly demonstrates the exact percentage of the risk level
of dengue fever automatically circumventing for all possible (medical)
imprecisions.
