School of Computer Science, China West Normal University, Nanchong 637002, China.
Internet of Things Perception and Big Data Analysis Key Laboratory of Nanchong, Nanchong 637002, China.
Comput Intell Neurosci. 2022 May 25;2022:5466011. doi: 10.1155/2022/5466011. eCollection 2022.
In traditional Chinese medicine (TCM), drug dosage is an important part of the prescription. Different doses of the same drug can have varying curative effects. Doctors must determine the drug combination and dosage in clinical practice based on the patient's symptoms and treatment efficacy. Existing studies on the prescription pattern of TCM on the treatment of osteoporosis only analyze the frequency that a certain drug combination is used, without considering the treatment efficacy or drug dosage. As a result, we searched for and recorded existing literature on randomized controlled trials of TCM treatment of osteoporosis, calculated weights based on the treatment efficacy of the prescriptions used in the randomized controlled trials, and created the TCM weighted transaction database. Then, a new multilevel Top- weighted association rule algorithm is proposed to obtain effective prescription patterns that include drug dosages, which can assist doctors in clinical practice in choosing a combination of drugs to form a prescription with good curative effects.
在中医（TCM）中，药物剂量是处方的重要组成部分。同一药物的不同剂量可能会产生不同的疗效。医生必须根据患者的症状和治疗效果，在临床实践中确定药物组合和剂量。现有的关于 TCM 治疗骨质疏松症的处方模式研究仅分析了特定药物组合的使用频率，而没有考虑治疗效果或药物剂量。因此，我们搜索并记录了现有的关于 TCM 治疗骨质疏松症的随机对照试验的文献，根据随机对照试验中使用的处方的治疗效果计算权重，并创建了 TCM 加权交易数据库。然后，提出了一种新的多层次加权关联规则算法，以获得包含药物剂量的有效处方模式，这可以帮助医生在临床实践中选择药物组合以形成具有良好疗效的处方。
