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
Paraquat, a potent herbicide, has caused many fatalities through indiscriminate use and suicides. With ingestion of more than one mouthful of 20% paraquat, death is usually caused by pulmonary fibrosis. We experienced a case of paraquat poisoning with severe pulmonary injury. The patient had swallowed about two mouthfuls of 24% commercial paraquat. Hemoperfusion was done within a few hours after ingestion, and then combination therapy with several antioxidants, steroids, and diuretics was given. Initially, ground glass opacities, consolidation, and irregular lines appeared in the patient's high resolution computed tomography (HRCT). Several months later, lung lesions had improved. The improvement has continued until recently.
Subject(s)
Humans , Antioxidants , Diuretics , Eating , Glass , Hemoperfusion , Lung , Lung Injury , Mouth , Paraquat , Pulmonary Fibrosis , Steroids , SuicideABSTRACT
STATEMENT OF PROBLEM: Alteration of tooth function is assumed to be changed by stress/strain on the adjacent alveolar bone, producing changes in morphology similar to those described for other load-bearing bones. When teeth are removed, opposing teeth will not be functioned. When edentulous area is restored by implant prostheses, opposing teeth will be received physiologic mechanical stimuli. PURPOSE: The aim of this study was to evaluate the bone changes around the teeth opposing implant restoration installed mandibular posterior area. MATERIAL AND METHOD: Eight patients who had mandibular posterior edentulous area were treated with implants. Radiographs of the opposing teeth were taken at implant prostheses delivery(baseline), 3 months, and 6 months later. Customized film holding device was fabricated to standardize the projection geometry for serial radiographs of opposing teeth. Direct digital image was obtained. Gray values of region of interest at each digital image were measured and compared according to time lapse. Repeated measured analysis of variance and post-hoc Scheffe's test were performed at the 95% significance level. RESULTS: Alveolar bone changes around the natural teeth opposing the posterior implant in mandible showed statistically significant difference compared to control group(P0.05). There were no statistically significant differences of alveolar bone changes among mesial-crestal group, mesial-middle group, distal-crestal group, distal-middle group, and control group(P>0.05). CONCLUSION: Alveolar bone around the natural teeth opposing the implant prosthesis showed gradual bony apposition.