ABSTRACT
Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acupuncture treatment in a clinical setting was explored. A total of 232 clinical records were collected using a Charting Language program. The relationship between symptom information and selected acupoints was trained using an artificial neural network (ANN). A total of 11 hidden nodes with the highest average precision score were selected through a tenfold cross-validation. Our ANN model could predict the selected acupoints based on symptom and disease information with an average precision score of 0.865 (precision, 0.911; recall, 0.811). This model is a useful tool for diagnostic classification or pattern recognition and for the prediction and modeling of acupuncture treatment based on clinical data obtained in a real-world setting. The relationship between symptoms and selected acupoints could be systematically characterized through knowledge discovery processes, such as pattern identification.
Subject(s)
Humans , Acupuncture Points , Acupuncture Therapy , Neural Networks, Computer , Republic of Korea , SyndromeABSTRACT
<p><b>OBJECTIVE</b>To assess the clinical evidence for and against acupuncture as a treatment for Bell's palsy.</p><p><b>METHODS</b>We conducted a literature search of 15 databases from their inception to December 2010 without language restrictions. We included all randomized clinical trials (RCTs) regardless of their controls. Methodological quality was evaluated using the Cochrane risk of bias assessment tool.</p><p><b>RESULTS</b>Of the 3 474 articles, only eight RCTs met our inclusion criteria. Four RCTs tested the effects of acupuncture against drug therapy on disease response rate. The meta-analysis of these data showed significant improvements in the acupuncture group [n=463, risk ratio (RR)=1.07, 95% CI: 1.02 to 1.13; P=0.006, I(2)=0%]. Six RCTs tested the effects of acupuncture plus drug therapy versus drug therapy alone. The meta-analysis of this set of RCTs also showed the favorable effects of acupuncture on disease response rate (n=512, RR=1.11, 95% CI: 1.05 to 1.17; P=0.001, I(2)=13%).</p><p><b>CONCLUSIONS</b>The evidence supporting the effectiveness of acupuncture for treating Bell's palsy is limited. The number and quality of trials are too low to form firm conclusions. Further rigorous RCTs are warranted but need to overcome the many limitations of the current evidence.</p>
Subject(s)
Humans , Acupuncture Points , Acupuncture Therapy , Bell Palsy , Therapeutics , Randomized Controlled Trials as Topic , Treatment OutcomeABSTRACT
<p><b>OBJECTIVE</b>Red ginseng (RG, Panax ginseng C.A. Meyer) is one of the widely used herbs for treating type 2 diabetes mellitus (DM). However, no systematic review of the effectiveness of RG for type 2 DM is available. This systematic review aimed to evaluate the current evidence for the effectiveness of RG in patients with type 2 DM.</p><p><b>METHODS</b>Electronic searches of 14 electronic databases were conducted without language restrictions. All randomized clinical trials (RCTs) with RG as a treatment for type 2 DM were considered for inclusion. Their methodological quality was assessed using the Cochrane criteria.</p><p><b>RESULTS</b>Four RCTs met our inclusion criteria. Their methodological quality was variable. Three of the RCTs compared the effectiveness of RG with placebo. The meta-analysis of these data failed to favor RG over placebo for fasting plasma glucose (FPG) [n =76, weighted mean difference (WMD): -0.43 mmol/L; 95% confidence interval (CI): -1.16 to 0.30, =0.25] and fasting plasma insulin (FPI) (n =76, WMD: -8.43 pmol/L; 95% CI: -19.54 to 2.68, P =0.14) for 12 weeks of treatment. One RCT compared the effects of RG with no treatment. The results did not suggest favorable effects of RG on FPG, hemoglobin A(1c) (HbA(1c)) or 2-h blood glucose after a meal (PP2h).</p><p><b>CONCLUSIONS</b>The evidence for the effectiveness of RG in controlling glucose in type 2 DM is not convincing. Few included studies with various treatment regimens prohibit definitive conclusions. More rigorous studies are needed to clarify the effects of RG on this condition.</p>