To predict the development of health resource allocation in Jilin Province during the 14th 5-Year Plan period, and to provide a scientific basis for promoting the improvement of its service capacity. The data of the health resource from 2015 to 2022 were obtained from the Jilin Statistical Yearbook, and the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses and pharmacists were selected as evaluation indicators, and the grey prediction model constructed by Python was used to predict the development from 2023 to 2025. In the 14th 5-Year Plan period, the health resource in Jilin Province showed an increasing trend, and it is predicted that in 2025, the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses, and pharmacists in Jilin Province will reach 28,999, 196,328, 262,219, 101,273, 129,586, and 9469, respectively. Except that the pharmacist team failed to meet the planning objectives of the 14th 5-Year Plan, the remaining health resources could meet the planning requirements. The allocation level of health resources in Jilin Province has been continuously improved, but it still faces the problems that the allocation of medical beds needs to be optimized, the doctor-nurse ratio needs to be improved, the reserve of registered nurses is insufficient, there is a gap in the pharmacist team, and the development of pharmacy services is slow.

Objective: To explore the selection pattern of acupuncture points for the treatment of menstrual headache by using data mining techniques. Methods: We searched the literature of all acupuncture prescriptions for treating menstrual headache since the establishment of the Chinese Journal Full-text Database (CNKI), Wanfang Data Resource System Library (WF), Chinese Biomedical Literature Database (CBM), and Wipo Journal Full-text Database (VIP) databases, extracted the valid prescriptions according to the exclusion criteria, and entered them into Miscrosoft Office Excel 2021 to establish a database of acupuncture for menstrual headache, and used Excel 2021, IBM SPSS Modeler18.0, and IBM SPSS Statistics 27.0 to analyze the database of menstrual acupoint frequency analysis, acupoint attribution analysis, association rule analysis, and cluster analysis. Results: A total of 118 acupuncture prescriptions were included, involving 88 acupoints, with a total frequency of 836 times of using acupoints, and the top three acupoints in terms of frequency of using acupoints were DU20, GB20, and LR3 acupoints, which were mainly applied to GB, DU, LR Meridian, and six sets of association frequent item sets were obtained, and five classes were obtained by clustering. Conclusion: Acupuncture and moxibustion treatment for menstrual headache mostly used DU20, LR3, GB20, LI4, GB8 points to achieve the effect of dredging the liver and relieving pain.