• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• 대한상한금궤의학회지
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• v.15 no.1
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• pp.117-130
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• 2023

Objective : The objective of this study is to explore the meaning of 弦 in Shanghanlun through analyzing two cases. Methods : Two cases treated with modified Soshiho-tang, which is administrated when 弦 aggravates chief complaints, were analyzed. All of the cases were diagnosed by disease pattern identification diagnostic system based on Shanghanlun Provisions. Results : The patients' chief complaints of all 2 cases were improved after administration of modified Soshiho-tang. As pulling symptom was reduced in all 2 cases, patients' disease were relieved. Through the etymological research and clinical treatment results, the clinical meaning of 弦 is deduced as 'pulling'. Conclusions : The etymological and clinical analysis suggest that the concept of '弦' maybe defined as 'pulling' in Shanghanlun.

• 대한상한금궤의학회지
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• v.5 no.1
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• pp.19-29
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• 2013

Objective : The purpose of this study is to analyze the naming of 'A diagnostic system based on Shanghanlun six meridian patterns and provisions' and to suggest an alternative naming. Methods : 1. The meaning of 'Six meridian(六經)' was reviewed on existing theories and Shanghanlun provisions. 2. Comparing the name of diangostic system with the term in 'Korean Standard Classification of Diseases-6(KCD-6)' and term in 'WHO international standard terminologies on traditional medicine in the western pacific region' was done. Results : 'Six meridian' is customary used in the Shagnhanlun study but its meaning is not match with original Shanghanlun system and could possibly make misunderstanding. So 'Disease pattern identification' is suitable than 'Six meridian' for this diagnostic system. Conclusions : This study suggests that using 'A disease pattern identification diagnostic system based on Shanghanlun provisions.'is more appropriate instead of using the name of the six meridian diagnostic system.

• 대한상한금궤의학회지
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• v.8 no.1
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• pp.25-39
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• 2016

Objective : 2 clinical cases were analyzed to report the improvement of patient having anger problem and patient of low leg pain treated by herb medication based on Shanghanlun disease pattern identification diagnostic system. Methods : We collected 2 cases treated by Jagyakgamcho-tang according to a disease pattern identification diagnostic system and defined the conceptional meaning of each provision by analyzing each case. Results : Patients in 2 cases were cured by Jagyakgamcho-tang selected according to Shanghanlun provisions dualized with Je-Gang(提綱) and Jo-Moon(條文). Conclusions : This study suggests Shanghanlun provisions are the record of significant factors which are closely related with and aggravate disease.

• 대한상한금궤의학회지
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• v.13 no.1
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• pp.155-164
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• 2021

Objective: This study aimed to report the improvement of a patient with nummular eczema treated with Hoeyeok-tang based on Shanghanlun provisions. Methods: According to the disease pattern identification diagnostic system (DPIDS) based on the Shanghanlun provisions, the patient was diagnosed with lesser yin disease according to the 324^th provision. The patient was treated with Hoeyeok-tang for 90 days. The severity of pruritus decreased, and changes in symptoms were estimated by a visual analog scale, Scoring Atopic Dermatitis Index and the Validated Investigator Global Assessment for Atopic Dermatitis. Results: The patient's symptoms were improved. The severity of pruritus decreased and they recovered from abrasions. Conclusions: This study suggests that the 324^th provision of Shanghanlun refer directly to nummular eczema.

• Journal of Information Processing Systems
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• v.4 no.3
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• pp.103-112
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• 2008

This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.

• 대한상한금궤의학회지
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• v.11 no.1
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• pp.47-61
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• 2019

Objective : This study was performed to report two cases diagnosed with the Shanghanlun disease pattern identification diagnostic system (DPIDS) and treated with Jeodang-tang. Methods : Based on DPIDS, we analyzed two cases treated with Jeodang-tang. Results : In the first case, the bipolar depression rating scale (BDRS) score improved from 44 to 13. In the second case, the fatigue severity scale (FSS) score improved from 55 to 24. Conclusions : In Shanghanlun, Jeodang-tang may not only treat pattern/syndrome of blood stasis but also many other diseases.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.71-80
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• 2022

In the past, fish diseases were bacterial in aqua farms, but in recent years, the frequency of fish diseases has increased as they have become viral and mixed. Viral diseases in an enclosed space called a aqua farm have a high spread rate, so it is very likely to lead to mass death. Fast identification of fish diseases is important to prevent group death. However, diagnosis of fish diseases requires a high level of expertise and it is difficult to visually check the condition of fish every time. In order to prevent the spread of the disease, an automatic identification system of diseases or fish is needed. In this paper, in order to improve the performance of the disease identification system of Paralichthys olivaceus based on deep learning, the existing pre-processing method is compared and tested. Target diseases were selected from three most frequent diseases such as Scutica, Vibrio, and Lymphocystis in Paralichthys olivaceus. The RGB, HLS, HSV, LAB, LUV, XYZ, and YCRCV were used as image pre-processing methods. As a result of the experiment, HLS was able to get the best results than using general RGB. It is expected that the fish disease identification system can be advanced by improving the recognition rate of diseases in a simple way.

• The Plant Pathology Journal
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• v.40 no.2
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• pp.115-124
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• 2024

Citrus cultivation plays a pivotal role, making a significant contribution to global fruit production and dietary consumption. Accurate identification of viral pathogens is imperative for the effective management of plant viral disease in citrus crops. High-throughput sequencing serves as an alternative approach, enabling comprehensive pathogen identification on a large scale without requiring pre-existing information. In this study, we employed HTS to investigate viral pathogens infecting citrus in three different regions of South Korea: Jejudo (Jeju), Wando-gun (Wando), and Dangjin-si (Dangjin). The results unveiled diverse viruses and viroids that exhibited regional variations. Notably, alongside the identification of well-known citrus viruses such as satsuma dwarf virus, citrus tatter leaf virus, and citrus leaf blotch virus (CLBV), this study also uncovered several viruses and viroids previously unreported in Korean citrus. Phylogenetic analysis revealed that majority of identified viruses exhibited the closest affilations with isolates from China or Japan. However, CLBV and citrus viroid-I-LSS displayed diverse phylogenetic positions, reflecting their regional origins. This study advances our understanding of citrus virome diversity and regional dynamics through HTS, emphasizing its potential in unraveling intricate viral pathogens in agriculture. Consequently, it significantly contributes to disease management strategies, ensuring the resilience of the citrus industry.

• Plant Disease and Agriculture
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• v.1 no.2
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• pp.22-25
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• 1995

The soybean necrotic disease has been shown to be caused by a virulent strain or strains of soybean mosaic virus (SMV) in soybean cultivar Kwnaggyo. However, the disease was found in soybean cultivar Hwanggeum which was released as a leading and mosaic resistant soybean cultivar in Korea. The strain SMV-G5H appeared to an isolate showing similar characteristics with the strain SMV-G7, although there were some variations in reactions of soybean differentials used.