Abstract
The researchers want to show that effective treatment is effective. At the same time, they want to know how effective they are. Generally, as you can see, increasing the number of samples can prove to be effective. It is not the number of samples but accurate data that tells you how effective it is. Of course we want to have plenty of accurate data, but this is not always possible. Some people think that it is possible to solve the problem by increasing the number of incorrect data, but this may not be the case. Accurate diagnostic techniques, good diagnostic equipment, and accurate target selection can be more important than increasing the number. To do this, it is necessary to thoroughly identify the prior research, secure the budget, train the manpower and confirm the precise and specific protocol in advance. Quantity does not replace quality. Let's thing what big data can and cannot solve.