• Title/Summary/Keyword: Prescription analysis

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Frequency Analysis of Clinical Prescriptions in the Korean Medicine Hospital, Pusan National University based on Herb Weight Ratio(3) - Focusing on Back Pain and Nape Pain - (M54 코드 질환에 대한 부산대학교 한방병원의 본초 사용 내역 분석(3))

  • Lee, Byung-Wook
    • The Journal of Korean Medical History
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    • v.28 no.1
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    • pp.93-102
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    • 2015
  • Objectives : The aim of this paper is finding the combinations of the medicinal herbs that are used frequently by analyzing the details of the herbal medicinal prescriptions used by the patients who were diagnosed with M54 code diseases. In addition, I will seek to assess the demonstrative pattern that frequently manifest in the M54 code disease patients by using the combinations of the medicinal herbs that are used frequently. Methods : After having extracted the prescription administered to the patients with the diagnostic code of M54, find the relevance with the demonstrative pattern by analyzing the combination for each of the medicinal herb effectiveness. Use the list of medicinal herbs utilized in the corresponding prescription to examine the most frequent combination of the medicinal herbs through the generation of up to 25 arbitrary combinations of the medicinal herbs. Results & Conclusions : As the results of the analysis of the details of the use of the prescribed herbal medicine packages by the Korean Medicine Hospital of Pusan National University, regarding the back pain of the diagnostic code M54, the prescriptions that corresponded to the kidney deficiency pattern, static blood pattern, wind pattern, dampness pattern, food accumulation pattern, qi depression pattern and phlegm-retained fluid pattern back pain among the back pain classifications under the Dongeuibogam (東醫寶鑑) were used frequently, and, regarding the Nape Pain, prescriptions that corresponded to the pain arising from the wind-dampness and phlegm the 'Taeyang meridian' was most frequent.

Adherence to Antidepressants in Korean Elderly Patients with Major Depressive Disorder (주요우울장애 노인 환자의 항우울제 복약이행도 연구)

  • Kyeong Ju Lee;Yu Jeung Lee
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.1
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    • pp.62-69
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    • 2023
  • Objective: Adherence is an important component in the treatment of various diseases, and poor adherence to antidepressants in patients with major depressive disorder is common. Non-adherence can be more prevalent in elderly patients with multiple morbidity and polypharmacy, resulting in negative treatment outcomes. The purpose of this study was to analyze adherence to antidepressants in Korean elderly patients with major depressive disorder. Method: A retrospective study was conducted using the Korean National Health Insurance claims database, and the subjects of this study were patients aged 65 or older who received at least one prescription of antidepressant monotherapy for the treatment of major depressive disorder between January 1, 2020 and June 30, 2020. Adherence was measured using the proportion of days covered at 6 months after the initial antidepressant prescription date. Logistic regression analysis was used to identify factors associated with adherence. Results: A total of 416,766 patients were finally included in the study. Over half of patients were non-adherent (52.67%) to antidepressants. According to the multivariate logistic regression analysis, national health insurance or medical aid, taking selective serotonin reuptake inhibitors or selective norepinephrine reuptake inhibitors, and having comorbidities were significantly associated with greater rates of adherence in the study subjects. The highest adherence rate was observed in patients taking vortioxetine. Conclusion: There was a considerable rate of non-adherence in Korean elderly patients with major depressive disorder. Health care professionals should try to improve adherence in elderly patients with major depressive disorder.

STUDY ON ANALYSIS OF SIGNIFICANCE OF SYMPTOM-TREATMENT METHOD COMBINATION

  • Oh, Yong Taek;Nam, Bo Ryeong;Kim, An Na
    • Journal of applied mathematics & informatics
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    • v.32 no.5_6
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    • pp.737-746
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    • 2014
  • Treatment method refers to a principle or method for treating diseases in Traditional Korean Medicine(TKM). As doctors determine the ideal treatment for a patient's disease or symptom, they are also able to prescribe effective treatment means for the diseases or symptom such as medicinal materials, prescription, acupuncture and moxibustion. Therefore, if significant symptom-treatment method combinations are found from literature or database, proper treatment means for the patient's diseases or symptom may be presented to TKM doctors and enhanced treatment accuracy and efficiency can be expected. This study aims to analyze the relation between symptom and treatment method by interpreting hypotheses through null hypotheses to find significant symptom-treatment method combinations. This combinations suggested in this study will be compared with TKM experts analysis result to find an objective analysis method and eventually apply the method to medical big data, e.g., a huge amount of literature or treatment records.

The study on the design of Korean Medical Article Retrieval System Supporting Semantic Navigation based on Ontology (의미 네비게이션을 지원하는 온톨로지 기반 한의학 논문 검색 시스템 설계 연구)

  • Ko, You-Mi;Eom, Dong-Myung
    • Korean Journal of Oriental Medicine
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    • v.11 no.2
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    • pp.35-52
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    • 2005
  • This study is to design a Semantic Navigation Retrieval System for Oriental Medicine Articles based on a XTM so that people can search and use them more effectively than before. Keywords extracted from articles are categorized 4 topics : herbs, prescription, disease, and action. Keywords analysis Ontology is modeled based on 4 topics and their relations, and then represented Topic maps. Next, Article analysis Ontology is consist of title, author, keywords, abstracts and organization Topics from metadata. Keywords and Article analysis Ontology were integrated through Keywords Topic. Korean Medical Article Retrieval System is optimistic in terms on search results supporting semantic navigation in the information service aspects and easier accessibility because all related information are semantically connected with each different DBs.

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Study for the Standardization of Haematite and Comparison Property before and after Haematite Processing (대자석의 품질기준(品質基準) 및 포제전후의 성질비교)

  • Lee Jang-Cheon
    • Herbal Formula Science
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    • v.12 no.1
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    • pp.177-193
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    • 2004
  • Objectives: This study has been done to compare the Haematite's composition before and after using processing method and to clarify its quality and naming through the historical herbal books. Methods: I studied the Haematite and processed Haematite using physical and chemical methods which contain microscopic analysis, X-ray diffraction analysis, thermal analysis, XRF, ICP, etc, to compare the compositions and its characters. Results: Haematite is a metallic oxide(Hematite, $Fe_2O_3$). Haematite contains a main ingredients of crude Haematite Fe 40.336% - 62.174%, processed Haematite $50.499%{\sim}62.791%$(a theory value is 69.944% the korean pharmacopoeia wants >45%) and small ingredients, also. Conclusion: A radio-element contents of U, Th contain less than average contents of the lithosphere's U 1.8ppm, Th 7.2ppm.

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Analysis of Herbal combination frequence on Clicical Herbal formulation (임상한의사 처방의 약물 배합 빈도 분석)

  • Cha, Woong-Seok;Lee, Tae-Hyung;Lee, Byung-Wook
    • Herbal Formula Science
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    • v.19 no.2
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    • pp.1-10
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    • 2011
  • Objectives : Since its enactment in 1987, the 56 standard prescriptions covered by insurance have remained unchanged from its original version. In this study, we tried to discover most frequently used herbal combinations by analyzing prescriptions used in actual clinical settings. Methods : We have built Structured Query Language to analyze herbal combination and progressed this analysis through analyzing the frequencies of medicinal herb combinations in medical prescription slips. Results : We have found out that traditional Korean medical doctors use about 13 herbs in a prescriptions and usually use 253 kinds of herb. And We have found out the most frequently used herbal combination. Conclusions : In this study, We can suggest new method to decide what do we need on insurance prescriptions.

Factors Related with the Compliance and Treatment in Patients with Pulmonary Tuberculosis in Urban and Suburb Area (도시와 농촌지역의 폐결핵 환자 순응도 및 치료에 관련된 요인)

  • Kim, Sang-Soon;Kim, Yoon-Ock
    • Research in Community and Public Health Nursing
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    • v.7 no.1
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    • pp.69-79
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    • 1996
  • To investigate the factors related with the compliance and the treatment of the patients with pulmonary tuberculosis in urban and suburb area, we followed up all the 755 registered patients(at urban Public Health Office 544, at suburb 210) as follow from January 1,1992 to December 31, 1993. We describe the general characteristics and the characteristics related with the disease of the patients according to the area as follow. 150 patients(27.5%) were at their age of 20 to 29 years in the urban area, whereas 45 patients (21.4%) were 60 to 69 years and another 45 patients(21.4%) were 70 to 79 years in the suburb area. According to the first chest X -ray examination, 54.5% of all cases were proved to be mild in the urban area. But in the suburb area, moderate cases (44.3%) were more than mild cases(p<0.01). Follow-up X-ray's were performed more properly(p<0.05) in the urban area(94.3%) than in the suburb area(90.0%). Most cases were found in the chest X -ray examination performed by Public Health Office (p<0.01) : payable chest X-ray in the urban area (56.7%) and free chest X-ray in the suburb area(35.2%). More patients were cured in the urban area(90.8%) than in the suburb area(87.1%). The presence of supporting family member were significantly higher(p<0.05) in the urban area(79.1%) than in the suburb area(88.1%). In the analysis of the treatment efficacy, more cure ate were found in the patients cytologically confirmed to be culture (+). In the urban area, 201 culture (+) patients (93.5%) 294 culture (-) patients (89.1%) were cured. In the suburb area, 99 culture (+) patients(91.7%) and 84 culture (-) patients(82.4%) were cured. Age, the presence of supporting family member, and the socioeconomic status of the patient had significant association with the prescription compliance related with the general characteristics of the patients. Whereas, X-ray finding and AFB culture finding were the significant factors associated with the prescription compliance related with pulmonary tuberculosis (p<0.05). The cumulative compliance in the survival analysis was 92.5% in the urban area and 88.1% in suburb area, at sixth month of follow-up. Failure rate for regular drug receipt was highest at second month in the urban area(3.75%) and at fourth month in the suburb area(4.15%). In logistic regression of the factors related with the tratment result, first X-ray examination and prescription compliance were significantly associated in the urban area(p<0.05). However, there is no factor significantly associated with the treatment result in the suburb area. It could be explained by too small size of the sample. In logistic regression of the factors related with the prescription compliance, first chest X-ray, sputum culture outcome and the presence of supporting family member were significant variables in the urban area(p<0.05). Most patients with family member were proved to be compliant with the prescription. This shows that it is important for the patients with long-lasting ilnesses to have supporting family member. Therefore, to improve prescription compliance we should strengthen the health education before the initiation of treatment and take special interest in the patients without supporting family member.

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Application of Machine Learning to Predict Weight Loss in Overweight, and Obese Patients on Korean Medicine Weight Management Program (한의 체중 조절 프로그램에 참여한 과체중, 비만 환자에서의 머신러닝 기법을 적용한 체중 감량 예측 연구)

  • Kim, Eunjoo;Park, Young-Bae;Choi, Kahye;Lim, Young-Woo;Ok, Ji-Myung;Noh, Eun-Young;Song, Tae Min;Kang, Jihoon;Lee, Hyangsook;Kim, Seo-Young
    • The Journal of Korean Medicine
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    • v.41 no.2
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    • pp.58-79
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    • 2020
  • Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1st to 2nd and 3rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1st (54.69%), 2nd (73.52%), and 3rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1st (0.640), 2nd (0.816), and 3rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.

The Analysis of 50 Patients with Allergic Rhinitis Administerd by Bojungikgitang-Gamibang (보중익기탕가미방(補中益氣湯加味方)을 투여한 비염환자 50예에 대한 분석)

  • Jung, Soon-Young;Seo, Hyung-Sik
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.19 no.2
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    • pp.233-241
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    • 2006
  • Background : Bojungikgitang is a typical prescription that helps to replenish the spleen and stomach, and its effect proved positive on allergic rhinitis by experiment. But there is only a few clinical thesis on allergic rhinitis to which Bojungikgitang was administered. Objective : The prevalence of allergic rhinitis appear to be increasing. The experimental study on allergic rhinitis has occasionally been reported, but the clinical study on various cases on treatment of using herbal medicine is not many. The aim of this study was to investigate effect of Bojungikgitang-Gamibang on allergic rhinitis. Methods : The treatment effect was analyzed over fifty patients who visited and had treatment with Bojungikgitang-Gamibang on allergic rhinitis in the hospital of Sangji University from June, 2003 to September, 2005. Result : After we analyzed 50 cases of allergic rhinitis by administering Bojungikgitang-Gamibang, we concluded that the shorter duration of disease and high dosage were the main factors which improved the symptoms effectively. Conclusion : Bojungikgitang-Gamibang was the effective treatment of allergic rhinitis.

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An Empirical Study of Software Size Estimation Techniques by Use Case (Use Case에 의한 소프트웨어 규모 예측 방법에 대한 실증적 연구)

  • 서예영;이남용
    • The Journal of Society for e-Business Studies
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    • v.6 no.2
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    • pp.143-157
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    • 2001
  • There has been a need for predicting development efforts and costs of the system during the early stage of the software process and hundreds of metrics have been proposed for computer software, but not all provide practical support to the software engineer. Some demand measurement that is too complex, others are so esoteric that few real-world professionals have any hope of understanding them, and others violate the basic intuitive notions of what high-quality software really is. It is worthwhile that metrics should be tailored to best accommodate specific products and processes after grasping their good and no good point. This paper describes two size estimation techniques, the Karner technique and the Marchesi technique, and compares and analyzes them with proposed evaluation criteria. Both techniques are to estimate software size analyzed by use case that is mainly described during the object-oriented analysis phase. We also present an empirical comparison of them, both are applied in the Internet Medicine Prescription System. We also propose some guidance for experiments based on our analysis. We believe that it should be facilitating project management more effective by adjusting software metrics properly.

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