• Journal of Pharmacopuncture
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• v.27 no.1
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• pp.21-26
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• 2024

Objectives: Pulse is a method of Korean medicine diagnosis and is an important clue to detect the organs, nature, and progress of the disease. Pulse examination is included in the basic examination of Korean medicine doctors, but there is no standardized method for diagnosing pulse although the types and methods of the pulse taking are briefly described in the literature, making it difficult to spread the examination method. In this regard, I would like to propose an objective evaluation method. Methods: Although the importance of pulse examination and the method of pulse examination are known in the literature, it is difficult for undergraduate students or inexperienced Korean medicine doctors to access it, so in this paper a method of marking the size of the pulse power in the blank space for objective evaluation was devised and presented. Results: The size of the pulse power should be indicated using the 1-cell, 3-cell, or 5-cell method according to the left and right wrists and the cun, guan and chi on both sides. Conclusion: The method of pulse diagnosis is an important diagnostic method as a verification process for making a Korean medical diagnosis. The remaining Korean medicine diagnostic methods, including pulse diagnosis, also need to undergo objectification. It is believed that the objectification of these diagnostic methods will lead to an improvement in the treatment rate of Korean medicine.

• The Plant Pathology Journal
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• v.40 no.4
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• pp.337-345
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• 2024

Soybean (Glycine max L.) is one of the most widely planted and used legumes in the world, being used for food, animal feed products, and industrial production. The soybean mosaic virus (SMV) is the most prevalent virus infecting soybean plants. This study developed a diagnostic method for the rapid and sensitive detection of SMV using a reverse transcription-recombinase polymerase amplification (RT-RPA) technique combined with a lateral flow strip (LFS). The RT-RPA and RT-RPA-LFS conditions to detect the SMV were optimized using the selected primer set that amplified part of the VPg protein gene. The optimized reaction temperature for the RT-RPA primer and RT-RPA-LFS primer used in this study was 38℃ for both, and the minimum reaction time was 10 min and 5 min, respectively. The RT-RPA-LFS was as sensitive as RT-PCR to detect SMV with 10 pg/µl of total RNA. The reliability of the developed RT-RPA-LFS assay was evaluated using leaves collected from soybean fields. The RT-RPA-LFS diagnostic method developed in this study will be useful as a diagnostic method that can quickly and precisely detect SMV in the epidemiological investigation of SMV, in the selection process of SMV-resistant varieties, on local farms with limited resources.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.19 no.3
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• pp.159-171
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• 2015

Objectives: Lately, non alcoholic fatty liver patients are increasing rapidly and the average age of patients are getting younger. Non alcoholic fatty liver often represents asymptomatic and korean pattern diagnosis is difficult to implement without symptoms. This study aimed to analyze interrelationship between non alcoholic fatty liver disease and Injinho-tang. Methods The AHP is a systematic procedure for analyzing the elements of any problem hierarchically. Based on survey of expertise, as series of pairwise comparison judgements is performed to evaluate the various elements in the hierarchy. We are expected to use the AHP analysis that would apply to oriental doctor's diagnostic process analysis. Results and conclusion Non-alcoholic fatty liver disease induced complex causes of the metabolic syndrome. Injinho-tang has been widely used disease that causes jaundice and liver biliary disease. According to AHP analysis, LFT is the most important facor in choosing Injinho-tang on non alcoholic fatty liver disease. BMI and body composition by bioelectrical impedance analysis are the next important factors. Personal hot temper also gives a big impact on choicing Injinho-tang on non alcoholic fatty liver disease.

• Journal of Korean Society of Rural Planning
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• v.16 no.3
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• pp.117-129
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• 2010

The purpose of this paper is to develop a web-based information system for rural settlement environment diagnosis which is useful to apply the village based evaluation for new rural development projects. To achieve this purpose, this study performed : 1) analyzing the business process in the field of rural settlement environment diagnosis, 2) designing the data flow diagram and the database based on settlement environment diagnostic indices(SEDI), and 3) developing the system using APM (Apache, PHP, and MySQL) of web-system development environment. The developed system was applied to the study rural villages for testing of efficient and logical working. Users of the system, such as, researchers, decision makers, and rural residents, can input directly the village data to diagnose through a file format of Excel in MS Office. Futhermore, they can analyze the visual results with graphic and graph types, simultaneously. From the results of this study, it showed that the developed system enables decision-makers not only to assist the planning process of the rural village development project, but also to improve the level of information technology in the research and planning field concerning with rural development.

• Journal of Information Processing Systems
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• v.2 no.3 s.4
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• pp.189-193
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• 2006

In this study we propose an automatic reading system for diagnostic DNA chips. We define a general specification for an automatic reading system and propose a possible implementation method. The proposed system performs the whole reading process automatically without any user intervention, covering image acquisition, image analysis, and report generation. We applied the system for the automatic report generation of a commercialized DNA chip for cervical cancer detection. The fluorescence image of the hybridization result was acquired with a $GenePix^{TM}$ scanner using its library running in HTML pages. The processing of the acquired image and the report generation were executed by a component object module programmed with Microsoft Visual C++ 6.0. To generate the report document, we made an HWP 2002 document template with marker strings that were supposed to be searched and replaced with the corresponding information such as patient information and diagnosis results. The proposed system generates the report document by reading the template and changing the marker strings with the resultant contents. The system is expected to facilitate the usage of a diagnostic DNA chip for mass screening by the automation of a conventional manual reading process, shortening its processing time, and quantifying the reading criteria.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• Smart Structures and Systems
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• v.33 no.4
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• pp.313-323
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• 2024

Deterioration of buildings is one of the biggest problems in modern society, and the importance of a safety diagnosis for old buildings is increasing. Therefore, most countries have legal maintenance and safety diagnosis regulations. However, the reliability of the existing safety diagnostic processes is reduced because they involve subjective judgments in the data collection. In addition, unstructured tasks increase rework rates, which are time-consuming and not cost-effective. Therefore, This paper proposed the method that can calculate the safety grade of deterioration automatically. For this, a DNN structure is generated by using existing precision inspection data and precision safety diagnostic data, and an objective building safety grade is calculated by applying status evaluation data obtained with a UAV, a laser scanner, and reverse engineering 3D models. This automated process is applied to 20 old buildings, taking about 40% less time than needed for a safety diagnosis from the existing manual operation based on the same building area. Subsequently, this study compares the resulting value for the safety grade with the already existing value to verify the accuracy of the grade calculation process, constructing the DNN with high accuracy at about 90%. This is expected to improve the reliability of aging buildings in the future, saving money and time compared to existing technologies, improving economic efficiency.

• Korean Journal of Digital Imaging in Medicine
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• v.11 no.1
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• pp.27-33
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• 2009

In this study, we compared the alteration of test positions according to various test equipments when testing shoulder joint superoinferior axial to estimate the clinical usefulness of tiltable standing detector. Our objectives were patients who visited our hospital. Among them we chose patients who were prescribed to get a shoulder axial test, again we selected 30 patients whose abduction is more than 90 degree.(2008. Nov.$\sim$2009 Jan.) With the patients cooperation, we used CR(Agfa, Belgium), fixed-detector(Canon, japan), Tiltable-detector(Philips, Netherlands). Tested with only one equipment(tiltable detector), and posed with the other two. We surveyed 5 inspectors and 30 patients, asking them to rate the convenience of test position. Also, we checked how long it takes to have the image appear on screen after testing with the equipment We provided a standard for an assessment of the image to an expert in bone radiology, an orthopedist and a radiologist with 5 years experience. When the patients were asked about the convenience of the equipments, 15 people(50%) answered CR is convenient and 14 people(46.7%) answered the Tilting detector is convenient, showing not much difference. However, when the inspectors were asked the same question, 4people(80%) out of 5 answered that the Tilting detector is more convenient The time test showed that CR takes 2 minutes and 50 seconds, the Fixed detector 1minute and 48 seconds andor had no distortion showing the shoulder joint space. However, even though the Fixed detector showed ac the Tilting detector takes 1 minute and 43 seconds to bring the image to the screen after the position. The results of the value of image taken by each equipment, CR and the Tilting detectromion, coracoid process, due to the unstable pose, they were quite distorted and scored poor in observing glenoid fossa. By this study, we can see that testing the shoulder joint superoinferior axial projection with a detector that has a tilting device would be more convenient than testing it with a CR.

• Journal of Genetic Medicine
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• v.8 no.1
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• pp.28-34
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• 2011

Most clinicians understand clinical trials as the evaluation process for new medicine before their use. However, clinical trials can also be applied to laboratory diagnostic tests (LDTs) to verify diagnostic accuracy and efficacy before their clinical laboratory implementation for patients. The clinical trial of LDT has two distinctive characteristics that are different from the case of pharmaceuticals and thus worth special consideration. One of them is the level of evidence. The well-designed randomized controlled trials (RCTs) are known to provide the best evidence to prove the clinical efficacy of any pharmaceutical products. However, RCTs lose practicality when applied to LDTs due to various issues including ethical complications. For this reason, comparative study format is considered more feasible approach for LDTs. In addition pharmaceuticals and LDTs are different in that the user's intervention is not required for the former but critical to the latter. Moreover, in the case of pharmaceuticals, end-products are produced by manufacturers before being used by clinicians. However, in LDTs, once reagents and instruments are provided by manufacturers, they are first utilized by clinical laboratories to produce test results in order for clinicians to use them later. In other words, when it comes to LDTs, clinical laboratories play the role of manufacturers, providing reliable test results with improved quality assurance. Considering the distinctive characteristics of LDTs, we would like to offer detailed suggestions to successfully perform clinical trials in LDTs, which include analytical performance measures, clinical test performance measures, diagnostic test accuracy measures, clinical effectiveness measures, and post-implementation surveillance.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.3
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• pp.42-51
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• 1999

An experimental modeling of cutting and structural dynamics and the on-line detection of malfunction process is substantial not only for the investigation of the static and dynamic characteristics of cutting process but also for the analytic realization of diagnostic systems. In this regard, We have discussed on the comparative assessment of two recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision round shape machining such as turning, drilling and boring in mold and die making. In this study, simulation and experimental work were performed to show the malfunctioned behaviors. For this purpose, two new recursive approach (REIVM, RLSM) were adopted fur the on-line system identification and monitoring of a machining process, we can apply these new algorithm in real process for the detection of abnormal machining behaviors such as chipping, chatter, wear and round shape lobe waviness.