Medical data must be accurate and reliable. In order to ensure the reliability of data, the first step of data processing is to verify the data. Common logic methods and calculation methods for data verification. Logical method: it is a rough method to judge the accuracy of data according to a certain relationship between two indicators. For example, if the height column is 4500px and the weight is only 50k8, then the correctness of the data is doubtful, so it is necessary to further verify the data at this time; Calculation check method: that is, check that there are no errors in the data.

2. Data grouping

The research object is divided into several groups according to the research purpose and some symptoms of the research phenomenon, so as to better reveal the composition and structure of the research object in the process of induction, which is conducive to analysis and inference. Grouping must pay attention to the following four points: ① Grouping can only be carried out on the basis of homogeneity. Pet-name ruby when you don't know the changing law of the research object, it's best to divide it into smaller parts, and then group it according to the actual situation after summarizing it. ③ Pay attention to habits when grouping, so as to facilitate data comparison. (4) when grouping, the boundaries should be clear and coherent, and the boundaries should not be unclear, or there are overlaps or gaps between groups.

3. Taiwan Province's materials

The research results may be completely consistent or basically consistent with expectations, and sometimes they may be completely inconsistent with expectations. Don't give up easily if the experimental results don't meet expectations. It is necessary to carefully analyze the experimental design or theoretical basis to see whether the experimental design is reasonable and whether there is any problem with the experimental hypothesis itself. When selecting the sample material, we should not only pay attention to the persuasiveness of the material, whether it supports the theme, whether it is related to the theme, but also dilute the theme if we select the material that is not related to the theme or has a strong correlation. At the same time, we should pay attention to the comprehensiveness of the materials. We should choose materials related to the theme in order to explain the theme from different angles. Only in this way can we write high-quality papers.

4. Deepening of materials

After selection, the selected materials are all related to the theme. If AII does not dig deep into these materials, it will not reach the ideal depth. For example, in order to analyze the death time of acute leukemia, the author collected a material: "The earliest death time of 60 leukemia patients was 2 days after onset, and the cumulative mortality rate was 1.5%. When the cumulative mortality rate reaches 95%, the time is 50 days, and the average value is (19.6l 82) days. The conclusion is that the prognosis of acute leukemia is poor. High mortality "c If the cases can be grouped according to the degree of bone marrow abnormality and the earliest death time and mortality rate of different groups are analyzed, it can be concluded that the prognosis of acute leukemia is poor and the mortality rate is high, and the mortality rate is positively correlated with the abnormality of bone marrow white blood cells. From this example, we can see that the in-depth analysis of the materials can enrich and enrich the theme content.