• Journal of The Korean Society of Integrative Medicine
• /
• v.10 no.4
• /
• pp.35-47
• /
• 2022

Purpose : As the number of patients with systemic diseases is increasing in the old, the relevance of oral health is gaining particular research interest. To provide fundamental resources for dental services, this study examined the relationship between doctors' diagnoses of circulatory diseases and patients' awareness of oral health and oral care behaviors. Methods : SPSS 26.0 was used to assess various variables, including doctor's diagnosis of circulatory diseases, gender, age, household income quintile, participation in economic activity, marital status, subjective level of oral health awareness, mastication discomfort, speaking and chewing discomfort, dental inspection, use of oral care goods, teeth brushing during the previous day, and untreated oral conditions. Results : The circulatory diseases suffered by the subjects were as follows: 56 % high blood pressure, 36 % dyslipidemia, 6 % stroke, and 8 % myocardial infarction or angina. A higher age meant a higher diagnosis rate of high blood pressure (p<.001) and stroke (p<.001). Those with dyslipidemia showed a higher rate of receiving oral inspection (p=.040), and an untreated oral condition was more frequently observed among those not diagnosed with the disease (p=.035). The subjects who were not diagnosed with stroke showed a higher rate of oral inspection (p<.001), while those who had a prior experience of stroke suffered a higher rate of mastication discomfort (p=.020). People who had high blood pressure showed a lower rate of using oral care goods (p<.001), and those diagnosed with stroke showed a lower rate of brushing teeth the previous day. Conclusion : This study found a correlation between the diagnosis of circulatory diseases and the awareness of oral health and oral care behavior. Consequently, oral health education should be included in mental health-related education, and customized training to teach teeth brushing and the use of oral care goods should be provided to patients with circulatory diseases during dentist visits.

• The KIPS Transactions:PartB
• /
• v.14B no.7
• /
• pp.503-512
• /
• 2007

An infant of a baby child who haven't communication skills through a language expresses their intention or baby condition as generally crying. Among these things, it is important to show a baby condition because their disease miss diagnosis time or remain to decide an exact diagnosis result too hard. For this, in this paper, we are going to develop system which decides where to be not good body point by analysing their face color and crying sound. Specifically, in this paper, we are going to act for baby heart diseases by doing feature extraction for their face region color and crying sound. To embody, we are going to present diagnosis method and compare analyze their crying sound a stand child, a different diseases child and a baby heart diseases child through each analyzed element. And also, we are going to extract matters to be attended to baby heart diseases through experiment and prepare objective index and an accuracy of baby heart diseases diagnosis result.

• Nuclear Medicine and Molecular Imaging
• /
• v.40 no.4
• /
• pp.193-199
• /
• 2006

Infectious and inflammatory bone diseases include a wide range of disease process, depending on the patient's age, location of infection, various causative organisms, duration from symtom onset, accompanied fracture or prior surgery, prosthesis insertion, and underlying systemic disease such as diabetes, etc. Bone infection may induce massive destruction of bones and joints, results in functional reduction and disability. The key to successful management is early diagnosis and proper treatment. Various radionuclide imaging methods including three phase bone scan, Ga-67 scan, WBC scan, and combined imaging techniques such as bone/Ga-67 scan, WBC/bone marrow scan add complementary role to the radiologic imaging modalities including plain radiography, CT and MRI. F-18 FDG PET imaging also has recently been introduced in diagnosis of infected prosthesis and chronic active osteomyelitis. Selection of proper nuclear medicine imaging method will improve the diagnostic accuracy of infections and inflammatory bone diseases, based on understading of pathogenesis and radiologic imaging findings.

• Journal of Multimedia Information System
• /
• v.3 no.2
• /
• pp.1-8
• /
• 2016

In this paper, we propose a method to automatically diagnose various diseases. The input data consists of electrocardiograph (ECG) recordings. We extract R-to-R interval (RRI) signals from ECG recordings, which are preprocessed to remove trends and ectopic beats, and to keep the signal stationary. After that, we perform some prospective analysis to extract time-domain parameters, frequency-domain parameters, and nonlinear parameters of the signal. Those parameters are unique for each disease and can be used as the statistical symptoms for each disease. Then, we perform feature selection to improve the performance of the diagnosis classifier. We utilize the selected features to diagnose various diseases using machine learning. We subsequently measure the performance of the machine learning classifier to make sure that it will not misdiagnose the diseases. The first two steps, which are R-to-R extraction and preprocessing, have been successfully implemented with satisfactory results.

• Proceedings of the Korean Society of Veterinary Pathology Conference
• /
• 2002.11a
• /
• pp.21-37
• /
• 2002

Successful diagnosis of a disease in food-producing animals depends in many times on proper collection and handling of specimens, as well as careful clinical observation and evaluation of the diseased animals. During the period required to complete the appropriate laboratory tests, an awareness of the potential problems of disease spread to animals at risk and the available palliative treatments is essential. Because most microbial-induced diseases in herds or flocks cannot be effectively treated once the problem is established, management through prevention and control of the disease must be instituted to offer the maximum protection to animals at risk. Thus, the course of disease management for infectious diseases is oftentimes a difficult judgment decision. This paper presents a brief general guide to specimen collection and laboratory methods used for diagnosis of diseases in production animals. (omitted)

• Journal of Genetic Medicine
• /
• v.19 no.2
• /
• pp.57-62
• /
• 2022

Systemic autoinflammatory diseases (SAIDs) are characterized by unprovoked inflammatory episodes such as recurrent/periodic fever, serositis, skin lesions, abdominal symptoms, arthritis/arthralgia, and central nervous system involvement. Genetic diagnosis of SAIDs has been challenging because disease manifestations overlap among themselves and with other immunological disease categories, such as infection and autoimmune diseases. However, the advent of next-generation sequencing (NGS) technologies and expanding knowledge about the innate immunity and inflammation have made the routine genetic diagnosis of SAIDs possible. Here, we review the recurrent/periodic fevers, other recently identified autoinflammatory diseases, and type I interferonopathies, and discuss the clinical usefulness of NGS targeted sequencing for SAIDs, and recent advance of understandings for this heterogeneous disease group as for underlying primary immunodeficiency.

• Journal of Genetic Medicine
• /
• v.21 no.1
• /
• pp.1-5
• /
• 2024

Despite advances in the diagnosis and management of rare diseases (RDs), there remains a tendency to overlook adult RD patients. In addition to the considerable number of adult-onset RDs, advances in the diagnosis and management of pediatric RDs have led to an increase in the survival of these patients into adulthood. Adult RDs exhibit distinct features from pediatric counterparts, necessitating careful consideration during medical assessments. Given the extended life expectancy of adult RD patients, precise diagnosis and management strategies can significantly enhance patient outcomes. This review aims to provide an in-depth exploration of the characteristics unique to adult RDs. Special emphasis will be placed on the importance of cascade screening and prenatal genetic testing in the context of adult RDs, highlighting the need for a comprehensive understanding of these aspects in clinical practice.

• The Journal of Internal Korean Medicine
• /
• v.28 no.2
• /
• pp.284-293
• /
• 2007

Objectives : Hypertension(HTN), diabetes mellitus(DM) and hyperlipidemia(HL) are the most common risk factors of cerebro-vascular attack(CVA). To prevent CVA, early diagnosis (awareness before CVA) of HTN, DM and HL is essential, and for the effective early diagnosis we need to analyze the data of CVA patients concerned with HTN, DM and HL. In this study, we studied characteristics of patients early diagnosed before CVA. Methods : We analyzed the data of 363 patients with acute ischemic stroke from Hanbang Stroke Registry supported by the Ministry of Science and Technology of Korea. Subjects' enrollment was done in the oriental medical hospitals of 3 universities located in the metropolitan region from October 2005 to October 2006. We analyzed all registered data about HTN. DM and HL, for example, how many patients were aware of their HTN, DM or HL before CVA, differences in characteristics of early diagnosed patients, effects of early diagnosis on CAV, etc. Results : Patients aware of their HTN. DM and HL before CVA have more past history and family history about HTN, DM or HL. Early diagnosis rate of HL is lower than HTN and DM, and early diagnosed HL patients were younger and deucated longer than patients who weren't aware of their HL before CVA. These results mean that publicity is the key to promoting early diagnosis rates of HTN, DM and HL. In DM and HL, early diagnosed patients had more SVO type cerebral infarction than patients who weren't aware of risk factors. We can thus see that early diagnosis even affects CVA types. Conclusion : This work helps us to understand the realities and importance of early diagnosis of HTN, DM and HL before CVA. There should be further research, which can contribute to much more improved early diagnosis rates of HTN, DM and HL.

• Tuberculosis and Respiratory Diseases
• /
• v.86 no.3
• /
• pp.176-182
• /
• 2023

Since the introduction of low-dose computed tomography (CT) screening for patients at high risk of lung cancer, the detection rate of suspicious lung cancer has increased. In addition, there have been many advances in therapeutics targeting oncogenic drivers in non-small cell lung cancer. Therefore, accurate pathological diagnosis of lung cancer, including molecular diagnosis, is increasingly important. This review examines the problems in the pathological diagnosis of suspected lung cancer. For successful pathological diagnosis of lung cancer, clinicians should determine the appropriate modality of the diagnostic procedure, considering individual patient characteristics, CT findings, and the possibility of complications. Furthermore, clinicians should make efforts to obtain a sufficient amount of tissue sample using non- or less-invasive procedures for pathological diagnosis and biomarker analysis.

• Journal of Biosystems Engineering
• /
• v.23 no.5
• /
• pp.499-506
• /
• 1998

An expert system to diagnose cucumber's diseases and nutritional disorders(ESCD) was developed using HCLIPS. The knowledge base was made through interviews with farmers who had cultivated cucumbers for years and experts who had a specialty of cucumber's diseases and disorders. The photographs of cucumber's diseases and nutritional disorders were used to assist users to comprehend queries of the ESCD. The ESCD was able to diagnose 11 fungal and bacterial diseases and 10 nutritional disorders, which could be frequently found in the fields and greenhouses. Diagnosis accuracy of the developed ESCD was validated by the farmers and the expert who joined the development.