• Journal of the Korean Society of Radiology
• /
• v.84 no.5
• /
• pp.1091-1093
• /
• 2023

• Korean Journal of Clinical Pharmacy
• /
• v.21 no.2
• /
• pp.156-160
• /
• 2011

서론: 본 연구는 불필요한 소화기관용 약제의 처방이 한국에서의 처방전 당 약물 개수를 증가시키는 것과의 연관성을 검토하고자 수행되었다. 연구방법: 연구를 위한 자료로 건강보험심사평가원의 처방전 데이터와 환자의 기타 모든 의료보험 청구데이터를 이용하였고, 두 데이터셋을 연결하여 처방전들을 소화기관용 약제의 필요성에 따라 소화기관질환 그룹, 관절염질환 그룹,소화기관용 약제 처방이 불필요할 것으로 그 외 질환 그룹으로 구분, 분리하였다. 결과: 처방전 당 약물의 평균 개수의 분포는 세 그룹에서 비슷한 양상을 보였는데, 관절염질환 그룹과 그 외 질환 그룹의 거의 절반 이상은 한 개의 소화기관용 약제를 포함하였다. 세 그룹 모두 처방전 당 약물 개수와 처방전 당소화기관용 약제의 개수가 1차 선형관계를 보였다. 그 외 질환 그룹에서는 처방전 당 전체 약물이 평균 6개를 넘는 경우, 적어도 한 개의 소화기관용 약제가 포함되었다. 본 연구는 불필요한 소화기관용 약제를 처방하는 것은 다제처방의 매우 유의한 예측인자임을 보였다. 결론: 향후, 약제 처방전의 질을 향상시키기 위해서는 각각의 약물을, 특히 소화기관용 약제를, 처방 시 약제의 불가피한 필요성에 대해 판단할 수 있어야 할 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.9 no.3
• /
• pp.467-472
• /
• 2005

ECG signals are recorded for diagnostic purposes in many clinical situations. Also, In order to permit good clinical interpretation, data is needed at high resolutions and sampling rates. Therefore In this paper, we designed to compression structure using multiple wavelet basis function(SWBF) and compared to single wavelet basis function(SWBF) and discrete cosine transform(DCT). For experience objectivity, Simulation was performed using the arrhythmia data with sampling frequency 360Hz, resolution lIbit at MIT-BIH database. An estimate of performance estimate evaluate the reconstruction error. Consequently compression structure using MWBF has high performance result.

• Proceedings of the Korean Society of Medical Physics Conference
• /
• 2005.04a
• /
• pp.93-95
• /
• 2005

MRS is to measure very small metabolite signals, whose resonant frequencies spread over the chemical shift range characteristic of the measured nucleus. The MR signal originates from the excited volume, which is a column of tissue divided into slices by gradient or rf encoding. The parameters that acquired data affected by TE, TR, and other variables. The higher spatial resolution of 3D CSI compared to SVS and its ability to examine regional metabolite variations for brain study.

• Spatial Information Research
• /
• v.12 no.2
• /
• pp.127-135
• /
• 2004

The operational availability of multispectral high-resolution satellite imagery, opens up new possibilities for updating forest map. Compared with information acquired by traditional methods (Panchromatic Aerial Photo), these data of for a number of advantages. In this study used 1m spatial resolution and 4 multispectral band, which are capability to update forest map of kind of tree. From the result of this study, First, the visual analysis of the colour composites of the multispectral data made it possible to distinguish some species(conifer, broad-leaved, un-stocked, arable land). Second, forest map and orthorectiffd satellite imagery are not match in the boundary of forest, therefore work have some troubles in the modification of forest map. Third, the distinguish from age-class, girth-class and density are much need experience and skillful about sample such as aerial photo.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.1
• /
• pp.35-40
• /
• 2022

In this paper, we propose a method of constructing clinical knowledge with clinical concept relations and predicting diseases based on a deep learning model to support clinical decision-making. Clinical terms in UMLS(Unified Medical Language System) and cancer-related medical knowledge are classified into five categories. Medical related documents in Wikipedia are extracted using the classified clinical terms. Clinical concept relations are established by matching the extracted medical related documents with the extracted clinical terms. After deep learning using clinical knowledge, a disease is predicted based on medical terms expressed in a query. Thereafter, medical terms related to the predicted disease are selected as an extended query for clinical document retrieval. To validate our method, we have experimented on TREC Clinical Decision Support (CDS) and TREC Precision Medicine (PM) test collections.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.402-405
• /
• 2022

The purpose of this study was to investigate the satisfaction of clinical practice for university students in the physical therapy department. 163 students participated in the study. The subjects completed an online survey that consisted of 36 clinical practice satisfaction questions and 5 questions of general characteristics. The collected data was analyzed by using frequency analysis, independent t-test, one-way ANOVA and Scheffe post hoc analyses with a significant level of 0.05. The students' satisfaction of clinical practice was 3.84 in average on a scale of 5. The students' satisfaction was the highest for the item 'Satisfaction after clinical practice', and the lowest for the item 'Internal conflict in clinical practice' and 'Evaluation of clinical practice'. The students' satisfaction of clinical practice showed significant differences according to the satisfaction of the major (p<.001), however, no significant difference according to gender, grade, training period and practice institution.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.6
• /
• pp.497-502
• /
• 2014

In general, all physicians have some standardized diagnosis and treatment methods. However, there are differences in the precise order and examination depending on the hospital size, system, medical equipment, etc. To reduce this difference, the interest about standardized guidelines recently increased and a variety of research is being conducted. The uniform guideline cannot reflect the differences of each situation and environment to meet the hospitals. Therefore, standardized medical guidelines(=clinical pathway) should provide customized guidelines based on the relevant medical data to ensure the quality of the medical service and the doctor's autonomy. In this paper, we will analyze medical data made by two thyroid specialists in the same hospitals. Moreover, this paper mentions the implement of automatic generating clinical pathway system which consider its real hospital situation and result.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.5
• /
• pp.1095-1106
• /
• 2014

Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.902-904
• /
• 2010

본 논문에서는 개인 특화된 의료를 위한 진단, 치료선택, 예후 추정을 지원하기 위한 정보를 전문 의료인에게 효과적으로 제공하기 위한 데이터베이스 설계와 구축을 제시한다. 내원 환자들의 유전자 수준의 미시 데이터, 임상학적 거시 데이터, 가족력, 유사 질환군 등의 연관정보 데이터를 통합 연계하여 이력으로 관리하고, 데이터의 점진적 누적이 가능한 통합의료시스템을 위한 데이터베이스 설계의 프레임워크를 구축하였다.