This article analyzed the characteristics of data of acupuncture and moxibustion in ancient books, and put forward to a mode of diagnosis and treatments according to acupuncture and moxibustion. A variety of data mining techniques were used to extract, integrate and display the theory, methods, meridians, acupoints and techniques in ancient books to establish a database platform of ancient books based on B/S architecture, which can be used by users. Also, this article described the framework, the function of the module, and the method of realizing each function of the experience platform of acupuncture ancient books, and demonstrated an interface of the results searched by key wordsstroke, and summarized the experience of building this platform and the advantages of the platform in the research and development of data of acupuncture ancient books.

Objective To explore the correlation between pre-pregnancy body mass index (BMI) and the risk of difficult airway during labor and delivery through grading changes of Mallampati test (MT). Methods A total of 354 primiparous women who delivered at Obstetrics and Gynecology Hospital of Fudan University from October 2020 to April 2021 were enrolled and categorized into low BMI, normal BMI, and high BMI groups based on pre-pregnancy BMI. Changes in MT grading were analyzed during early labor, postpartum (20 minutes to 1 hour after placental delivery), and 48 hours postpartum. A multifactor logistic regression model was used to analyze the factors increased MT grading postpartum. Results Among the 354 participants, 97 (27.4%) exhibited increased MT grading postpartum, with the proportion of women classified as MT grade 3-4 rising from 39 (11.0%) during early labor to 77 (21.8%) postpartum. By 48 hours postpartum, the number of women with MT grade 3-4 decreased to 21 (5.9%). Multifactor logistic regression analysis showed that low pre-pregnancy BMI (vs high BMI: OR＝2.15, 95%CI 1.02-4.53, P＝0.045) and snoring history during pregnancy (OR＝2.32, 95% CI 1.38-3.90, P＝0.001) were independent risk factors for postpartum MT grading elevation. Conclusions MT grading might increase postpartum in parturients, with low pre-pregnancy BMI and prenatal snoring history identified as significant risk factors for elevated MT grading after delivery.

OBJECTIVETo construct a knowledge platform of acupuncture ancient books based on data mining technology, and to provide retrieval service for users.

METHODSThe Oracle 10 g database was applied and JAVA was selected as development language; based on the standard library and ancient books database established by manual entry, a variety of data mining technologies, including word segmentation, speech tagging, dependency analysis, rule extraction, similarity calculation, ambiguity analysis, supervised classification technology were applied to achieve text automatic extraction of ancient books; in the last, through association mining and decision analysis, the comprehensive and intelligent analysis of disease and symptom, meridians, acupoints, rules of acupuncture and moxibustion in acupuncture ancient books were realized, and retrieval service was provided for users through structure of browser/server (B/S).

RESULTSThe platform realized full-text retrieval, word frequency analysis and association analysis; when diseases or acupoints were searched, the frequencies of meridian, acupoints (diseases) and techniques were presented from high to low, meanwhile the support degree and confidence coefficient between disease and acupoints (special acupoint), acupoints and acupoints in prescription, disease or acupoints and technique were presented.

CONCLUSIONSThe experience platform of acupuncture ancient books based on data mining technology could be used as a reference for selection of disease, meridian and acupoint in clinical treatment and education of acupuncture and moxibustion.