Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model / 医学前沿

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.

Estimating the Burden of Irritable Bowel Syndrome: Analysis of a Nationwide Korean Database

BACKGROUND/AIMS: Management of irritable bowel syndrome (IBS) imposes a heavy economic burden. This study was to estimate the epidemiologic features of IBS and to report the IBS burden for the first time in the Korean population. METHODS: A cross-sectional study was conducted using the National Health Insurance (NHI) system database, which covers the entire population of Korea. IBS was defined as diagnostic code -10 in adults with any outpatient clinic visits or hospitalization related to IBS. We excluded diseases that mimic IBS symptoms. RESULTS: A total of 2.42 million (58.2% female) individuals were identified as patients with IBS, yielding an age- and gender-adjusted prevalence of 5.1% in males and 6.9% in females. The prevalence of IBS increased proportionally with age, with higher medical costs in middle-aged patients. Outpatient clinics were visited by 98.6% of IBS patients, and 1.9% were treated upon admission. Of these patients, 87.6% were given a prescription. Co-morbidities that commonly accompanied IBS included upper gastrointestinal (36.1%), respiratory (12.3%), musculoskeletal (8.0%) disease, somatoform (4.3%) and depression/anxiety disorders (3.1%). The NHI costs of IBS, which include the NHI covered cost and beneficiary copayment charges, were estimated to be 155 million USD, which accounts for 0.46% of the total NHI costs for the entire Korean population. CONCLUSIONS: According to the Korean national claims database, about 6% of the Korean population seeks medical care for IBS at least once per year. This high prevalence places a large economic burden on the Korean healthcare system, accounting for 0.46% of overall national medical expenditure.