Different strategies are intended to be used in clinical reasoning decisions—deductive or diagnostic reasoning (2 9 10), decision analysis, (2, 3, 9), pattern recognition  [9 – 11], and intuition. The deductive reasoning hypothesis generates patient-based data and then tests to further assume that the hypothesis is confirmed or refuted. Used to solve strange problems or a complex expression . Decision analysis provides patient preferences as input to clinical decision making [2, 3]. Von Neumann and Morgenstern first proposed that values and attitudes drive personal reasoning choices can be understood through mathematical formulas . Later, Ledley, greed uses decision analysis to demonstrate the discipline of mathematics—the concept of mathematical logic and probability helps us understand the underlying basis of medical diagnosis [1, 3]. Pattern recognition is an inductive reasoning, current patient problems and related clinical problems previously seen and the use of previously successful treatments, experts and experienced practitioners, are often faster and more efficient . Intuition is not considered a scientific knowledge in clinical reasoning . Heuristics and empirical knowledge are used to effectively process large amounts of information Thompson, Via Ding Ding. 2002) is important but not fully based on medical decisions, often introducing a series of biases in decision making. .