Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

The web-based PBL teaching plan in pediatrics embodies the network learning environment and learning requirements.The basic design unit is a complete real case with certain width and depth,which can stimulate the students' interests of participation and guide students into a predetermined learning area to achieve desired learning objectives.The article dwelled on the compilation and implementation of the teaching plan of children bronchopneumonia.The first part:teachers showed the case in PBL site and proposed the questions.Students made the Powerpoint after studying and discussing in groups by PBL teaching website,QQ group,SMS platform,etc.The second part:students reported and discussed in groups; the teacher provided the new information and put forward the following-up problems; students consulted the documents and materials through the network again; finally teachers made comments on the results.During the teaching,network should be fully utilized and the questions should be proposed progressively at different levels.Teacher should play a guiding role and emphasize the students' autonomous learning.

Clinical practice is an important part for medical students to become qualified doctors.The humanistic skill and medical operation skill training,test and evaluation before clinical practice are necessary.Results showed that the standard and routine training before clinical practice can help interns adapt to their practice life more easily.

Objective To investigate meclical ethits level of first-year mecdical stuclents in Guangzhou medical college,which contributes to provide guidance of medical ethics education for interns. Methods To investigate 183 cases of first-year medical students. They were asked to deal with a case of 'a vagrant needed emergency treatment'. The statistics datum were classified according to 'norms of medical ethics and ways of implementation made by the Ministry of Health for medical staff'.Results 99.45% of them thought they should immediately save patients' live;but less than 28.96%thought of using cheap and fine medicines;only 38.80% mentioned the patients' mood. And there was no significant difference between boys and girls(P>0.05). Conclusion Medical students have already established a 'life-saving' awareness when they are freshman, but they also need to learn how to put ethics into practice.