• The KIPS Transactions:PartB
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• v.11B no.7 s.96
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• pp.855-860
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• 2004

This paper describes knowledge base optimization of an intelligent diagnosis system based on fuzzy relational products(IDS-DAAP) for the diseases with acute abdominal Pain. The knowledge base of IDS-DAAP is composed of the fuzzy rules and the fuzzy membership functions. The author here proposes an advanced intelligent diagnosis system (A-lDS-DAAP) in which the fuzzy rule generation algorithm is applied. Comparing with previous IDS-DAAP and IDS-DAAP-NN, a modified approach with A-IDS-DAAP shows that it improves the diagnosis rate and reduces the time to diagnose.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.11 no.sup2
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• pp.11-18
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• 2008

We often have difficulties in the diagnosis of acute abdominal pain in children because they are unable to adequately express the characteristics of their pain. With a good understanding of the etiologies of abdominal pain associated with ages, we should create a diagnostic approach based on the location of the pain. First, we must differentiate the surgical abdomen from the non-surgical acute abdomen. Then, we have to identify whether the pain originating from intestinal obstruction, ulcerative diseases, or hepatobiliary dysfunction. It is important to interview and examine the patient serially until the patient completely improves. These attitudes will reduce the patient's pain caused by delayed diagnosis and unavoidable misdiagnosis. Finally, the new insight for the appropriate use of analgesics against acute abdominal pain in children is now needed by the pediatrician.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.197-204
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• 2003

Because most conventional systems of medical diagnosis focus on small subsets of classes of diseases of particular human organs, it is difficult to diagnosis when dealing with symptoms are related to many diseases. The author proposes an intelligent diagnosis system for diseases associated with acute abdominal pain based on fuzzy relational products (IDS-DAAP) to implement conventional system (DS-DAAP). Compared with DS-DAAP, new approach with IDS-DAAP shows that the system proposed here improves diagnosis rate and reduces diagnosis time.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.68-71
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• 2002

의사들은 환자들의 건강 상태와 관련하여 다양한 유형의 정보들을 수집하고 분석하여 개별적인 환자들의 진단을 내리게 된다. 의사들이 한 명의 환자와 관련된 다양한 정보로부터 질환을 결정 내리기까지에는 여러 단계에서 다양한 의사결정이 필요하며 매우 복잡한 과정을 거치게 된다. 그러므로 의사들에게 또는 환자들에게 보조적인 도움을 주고자 많은 의료진단 시스템들이 개발되었다. 현재까지 개발된 대부분의 의료 진단시스템들은 특정한 의사의 경험이나 한 유형의 질환에 고정되어 있다. 그래서 환자들이 급성복통과 같은 여러 가지 유형의 질환에 관련되어 있는 증상을 호소할 때 의사들이 적절한 의사결정을 내리기가 쉽지 않다. 본 논문에서는 급성복통과 관련된 여러 가지 유형의 질환을 진단할 수 있는 시스템을 퍼지 논리를 이용하여 설계하고 구현해 본다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.459-462
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• 2002

현재까지 개발된 대부분의 규칙기반 의료 진단시스템에서는 의사들이 환자들을 진단하는데 필요한 지식을 정형화된 규칙만으로 표현해야 하기 때문에 어려움이 있으며, 시스템의 성능개선을 위해 규칙들의 수정 및 추가가 이루어져야 할 뿐 아니라, 예외적인 상황에서 진단시 문제점율 지니게 된다 본 논문에서는 일반적인 급성복통 진단을 위한 지식은 규칙으로 표현하고, 기존 규칙으로 처리할 수 없는 예외적인 급성복통 진단을 위한 지식은 사례로 표현함으로써 규칙과 사례가 서로 보완적인 역할을 할 수 있는 통합 방법을 제안한다. 또한 기존의 규칙 기반 DS-DAAP와 사레기반 추론에 의해 확장된 CDS-DAAP(Combined Diagnosis System for Diseases associated with Acute Abdominal Pain)의 비교를 통해, 제안하는 접근 방법이 진단율을 향상시킴을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.389-392
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• 2004

본 논문에서는 급성복통(acute abdominal pain)의 진단을 위하여 퍼지관계곱에서 이용하는 퍼지조건연산자와 알파절단(alpha-cut)의 적합한 선택에 관하여 논의한다. 퍼지관계곱은 퍼지조건연산자를 이용하여 적절히 처리되는데 퍼지조건연산자는 이진 조건 연산과는 달리 다양한 방법으로 구현이 가능하여 적용되는 분야에 연관되어 적절히 선택되어져야 한다. 본 논문에서는 급성복통 진단을 위한 휴리스틱 탐색기법을 설계하고 이에 가장 적합한 퍼지조건연산자와 알파절단을 제안한다. 제안된 퍼지조건연산자와 알파절단의 효율성을 증명하기 위하여 평균 진단성공율을 증가시키는 관점에서 모든 경우의 퍼지조건연산자와 알파절단에 대하여 시뮬레이션을 수행한다.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.9 no.2
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• pp.176-182
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• 2006

Purpose: The aim of this study was to investigate the spectrum of gastrointestinal mucosal lesions in the children presenting with short-term abdominal pain. Methods: Thirty one children with short term abdominal pain for less than 1 month from January 1995 to May 2004 who were examined using gastrointestinal (GI) endoscopy were reviewed retrospectively. Children presenting with acute abdominal pain unrelated to proper GI were excluded from this study. Results: Male patients were 16 and female were 15. Three patients were 1~5 years old, 15 were 6~10 years old, and 13 were 11~15 years old. The duration of the abdominal pain was less than 7 days in 23 patients, 10 days in 1, 20 days in 2, and 30 days in 4. The major accompanying symptoms were vomiting (15), diarrhea (4), melena (1), hematemesis (1), and fever (2). Using endoscopy, 6 patients were found to have hemorrhagic gastritis, 5 nodular gastritis, 4 duodenal ulcer, 3 gastric ulcer, 3 reflux esophagitis, 2 nodular duodenitis, 2 superficial gastritis, 2 erosive hemorrhagic duodenitis, 2 ulcerative colitis, 1 duodenogastric reflux, and 1 esophageal polyp. Helicobacter pylori (H. pylori) infection was positive in 10 patients. The age and sex ratio, duration of abdominal pain, site of abdominal pain, and duration of abdominal pain between H. pylori- positive and negative children were different. However, only the site of abdominal pain (epigastric) showed statistical significance. All symptoms improved with medication for the GI mucosal lesions noted by the endoscopic findings. Conclusion: The author suggests that GI endoscopy be one of the important first steps in examinations to find out diverse GI mucosal lesions in the patients with short-term abdominal pain. Additionally, the examinations for H. pylori infection are important for these patients, also.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.385-388
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• 2007

지식베이스 시스템의 중요한 구성 요소로는 유용한 지식베이스의 어떤 조합이 주어진 과업을 위해서 선택된 문제 해결자의 요구사항을 만족시키는지를 고찰하는 지식베이스 집합과 문제 해결자들의 집합을 들 수 있다. 가능한 조합을 인식하는 것은 일련의 제약만족문제를 실험하는 것과 해결될 수 없는 것을 제거하는 것을 필요로 하는데, 제약만족 문제의 모순성 발견을 신속히 하기 위해 본 연구에서는 제약을 제거함에 의해서 제약만족문제를 완화시키는 방법을 사용하였다. 완화 접근법을 시험하기 위해서, 기존의 급성복통과 관련된 지능형 질환 진단 시스템(A-IDS-DAAP)과 제약을 제거함에 의해서 제약만족문제를 완화시키는 방법을 적용한 급성복통과 관련된 지능형 질환 진단 시스템(CR-IDS-DAAP)을 가지고 실험을 하여 평균 수행시간을 감소시켜 시스템의 성능을 향상시키게 되었다.

• Journal of the Korean Society of Radiology
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• v.81 no.4
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• pp.794-805
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• 2020

Acute abdomen is a condition with sudden abdominal pain that may require immediate surgical treatment. The causes of acute abdomen in pediatric patients are diverse, and can be categorized in broad range from diseases requiring surgery to diseases requiring medication or clinical observation only. The role of the imaging study in children with acute abdomen is to distinguish between patients who need medication and patients who need surgery by identifying diseases that cause abdominal pain, if possible. Since intussusception and appendicitis are the leading causes of acute abdomen requiring surgical treatment in children, it is important to exclude intussusception in young infants complaining of acute abdominal pain and exclude acute appendicitis in older children with acute abdomen. In this paper, we introduce intussusception, acute appendicitis, midgut volvulus, Meckel's diverticulum and duplication cyst, which has characteristic imaging finding of the disease that can cause acute abdomen in pediatric patients.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.14 no.1
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• pp.81-85
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• 2011

Acute intermittent porphyria (AIP) is a rare disorder characterized biochemically by the increased excretion of porphyrins and porphyrin precursors, including delta-aminolevulinic acid (ALA) and porphobilinogen (PBG). AIP has variable clinical manifestations, such as acute abdominal pain, vomiting, nausea, constipation, peripheral neuropathy, seizures, tachycardia, and hypertension. A 16-year-old girl presented with recurrent abdominal pain, vomiting, hypertension, seizures, hypercholesterolemia, and red urine. AIP was confirmed by clinical features and increased 24-hour urine ALA and PBG. AIP should be considered in the differential diagnosis of patients who have abdominal pain, hypertension, and seizures when the results of all other tests are normal.