Decision Tree in Biology

Purpose: Human biology is an essential field in scientific research as it helps understanding the human body for adequate care. Technology has improved way scientists do their biological research. One of critical technologies artificial intelligence (AI), which revolutionizing world. Scientists have applied AI studies, using several methods to gain different types data. Machine learning a branch that computers learn from data and create predictions without being explicitly programmed.
 Methodology: methodology machine tree-based decision. It extensively used research, classifying complex into simple easy interpret graphs. This paper aims give beginner-friendly view model, analyzing its use advantages over other methods.
 Finding: Artificial greatly collection, analysis, prediction medical information. learning, subgroup intelligence, useful creating models, help wide range fields, including computational systems biology. Contribution future recommendation also discussed this study.