Development of Herbarium for E Medicine using Binary Tree Search Algorithm (BTSA)

Abstract

The globalization age enables assessing the exchangeability of treatments between different cultures is not a relevant goal for clinical herbal research, but the assessment of herbal efficacy and safety that should be based on the regular patterns of mainstream clinical medicine. Many research has been done in the manufacture of different Curable Illicit Medicine (CIM) in recent time, but this (CIM) has its own demerit such as psychosis disorder, However Herbal-Derived Remedies (HDR) need a powerful and deep assessment of their pharmacological qualities and safety issues due to the large and growing use of natural derived substances all over the world. It use for medicinal plants for prevention and treatment of diseases ranges from traditional and popular medicines, with the use of standardized and titrated herbal extracts. Model knowledge, engineering E-medicine herb process with consolidated information about their application to cure certain diseases and prescription method was adopted .The explanatory and pragmatic herbarium studies are useful and considered complementary in the acquisition of reliable data both for health caregiver and patients. In this research work, a critical study of herbarium for E- Medicine was developed, highly examined, assessed and provides E Medicine solution to the different ailments. The characteristics distribution of different herbs were studied, coded and stored in the herbarium database and using the C++ language with the BTSA model which maps out command interface, the system proved to be reliable and efficient when adapted to client’s patients.