• Journal of Biomedical Engineering Research
• /
• v.42 no.6
• /
• pp.287-294
• /
• 2021

Cardiotoxicity assessment of all drugs has been performed according to the ICH guidelines since 2005. Non-clinical evaluation S7B has focused on the hERG assay, which has a low specificity problem. The comprehensive in vitro proarrhythmia assay (CiPA) project was initiated to correct this problem, which presented a model for classifying the Torsade de pointes (TdP)-induced risk of drugs as biomarkers calculated through an in silico ventricular model. In this study, we propose a TdP-induced risk group classifier of artificial neural network (ANN)-based. The model was trained with 12 drugs and tested with 16 drugs. The ANN model was performed according to nine features, seven features, five features as an individual ANN model input, and the model with the highest performance was selected and compared with the classification performance of the qNet input logistic regression model. When the five features model was used, the results were AUC 0.93 in the high-risk group, AUC 0.73 in the intermediate-risk group, and 0.92 in the low-risk group. The model's performance using qNet was lower than the ANN model in the high-risk group by 17.6% and in the low-risk group by 29.5%. This study was able to express performance in the three risk groups, and it is a model that solved the problem of low specificity, which is the problem of hERG assay.

• Journal of Digital Convergence
• /
• v.9 no.5
• /
• pp.65-75
• /
• 2011

For the latest information and communication technology convergence with related technology to integrate all the systems has been developed in the form. In this era as well as the flow of the healthcare industry in recent years many studies on the development and application has been actively. Health IT in healthcare information systems that integrate information systems that have evolved rapidly in the direction to go, and in the future it is expected to do better acceleration. In this paper, state-led ubiquitous environment for building the hospital application system and IT application services are practical and Free in the integrated health information for the patient care service strengthening to integrated medical information system proposal and design do's and At the same time the establishment of integrated health information systems plans and operational challenges presented.

• Convergence Security Journal
• /
• v.18 no.5_1
• /
• pp.75-81
• /
• 2018

As industries converge in recent years, the impact of the use of convergence tools among industries on the security of the organization is increasing. However, organizational members lack the ability to adapt to introduction of new system because they are operating business around existing systems, and thus, security considerations are an environment that will inevitably emerge as a follow-up priority. In this study, we studied cost-effective options for factors that should be considered first in order to establish a security system for small and medium-sized healthcare institutions in the healthcare convergence industry. Specifically, the current legal system was considered and the security status was analyzed through prior research, and the necessary security solution/system was derived from small and medium-sized healthcare institutions. In addition, it analyzed relative priorities for cost-efficient deployment of security systems to those involved in small and medium-sized healthcare institutions in actual business environments and presented measures to establish a overall security.

• Korean Journal of Artificial Intelligence
• /
• v.11 no.4
• /
• pp.15-20
• /
• 2023

Machine learning is comprised of supervised learning, unsupervised learning and reinforcement learning as the type of data and processing mechanism. In this paper, as input and output are unclear and it is difficult to apply the concrete modeling mathematically, reinforcement learning method are applied for crawling robot in this paper. Especially, Q-Learning is the most effective learning technique in model free reinforcement learning. This paper presents a method to implement a crawling robot that is operated by finding the most optimal crawling method through trial and error in a dynamic environment using a Q-learning algorithm. The goal is to perform reinforcement learning to find the optimal two motor angle for the best performance, and finally to maintain the most mature and stable motion about EV3 Crawling robot. In this paper, for the production of the crawling robot, it was produced using Lego Mindstorms with two motors, an ultrasonic sensor, a brick and switches, and EV3 Classroom SW are used for this implementation. By repeating 3 times learning, total 60 data are acquired, and two motor angles vs. crawling distance graph are plotted for the more understanding. Applying the Q-learning reinforcement learning algorithm, it was confirmed that the crawling robot found the optimal motor angle and operated with trained learning, and learn to know the direction for the future research.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.6_2
• /
• pp.1083-1090
• /
• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.

• The Journal of Korean Medicine
• /
• v.40 no.3
• /
• pp.87-98
• /
• 2019

Objectives: Patients with respiratory diseases are increasing as air pollution due to fine dust gets worse. Diseases that occupy a large proportion of respiratory diseases in medical institutions are acute bronchitis, chronic bronchitis and Allergic rhinitis. The number of patients with all three diseases is gradually increasing. This study was to suggest assignment of medicine policy for improving accessibility to Korean medical treatment of respiratory diseases analyzing the current treatment status of acute bronchitis, Chronic bronchitis and Allergic rhinitis patients in Western medical and Korean medical institutes in this situation. Methods: This study used 2017 National patient sample data from the Korean Health Insurance Review and Assessment Service for research. Acute bronchitis, Chronic bronchitis, Allergic rhinitis was according to KCD code. This research contains Socio-demographic analysis classified by sex and age, the number of three disease's patients. Also the number of medical treatment, the expense of recuperation cost, medical practices were analyzed compare with Western and Korean medicine. Results: The incidence of three diseases is higher among female than male. There are many patients under the age of 10 in the case of acute bronchitis and allergic rhinitis, while there are many patients over 50 years of age in chronic bronchitis. Western medical treatment take up a larger proportion than Korean medical treatment in part of the number of three disease's patients, the number of medical treatment, the expense of recuperation cost. Conclusions: Much more patients of these diseases visit in Western medical clinic and hospital than Korean medical clinic and hospital for treatment. There are many parts of Korean medical treatment that are not covered by Health insurance benefits like herbal decoction, pharmacopuncture, etc. Korean medicine need to do the efforts for expanding medical field in variety. Also it is demanded for institutional support for reduction of the cost burden and improving on accessibility of Korean medical treatment in order to treat with the increase in respiratory diseases due to fine dust.

• Journal of the Korea Convergence Society
• /
• v.5 no.4
• /
• pp.1-7
• /
• 2014

Gesture recognition provides the ease and immediacy to users in the processing technique for recognizing the gesture. Because of these benefits, gesture recognition technology has been applied and fused in many areas, such as the military, health care, education. In particular, the gesture recognition in game field since it can provide users to play games similar to the actual gesture, it being fused with many areas such as medical, military, and education. This paper is to discuss the future convergence direction of motion recognition games based on this background. In this paper, it looks at technology status and the game of gesture recognition, describe the problem and improvement of gesture recognition game. This paper can help improving the competitiveness of domestic convergence on gesture recognition game.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.36-39
• /
• 2013

It is becoming more important as the growing of health information and increasing in cancer patients diagnose over the time gradually. Among the various types of cancer, we focuses on breast cancer diagnosis. The accuracy of breast cancer diagnosis is increasing when the diagnosis is based on evidence and statistics. To do this we use the weka data mining tools and analysis algorithms significantly associated with the decision tree uses rules. In addition, the data pre-processing and cross-validation are used to increase the reliability of the results. The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.3
• /
• pp.261-266
• /
• 2019

Flow cytometry is an electrical detection system that provides precise and diverse optical properties to cells and micro particles. Flow cytometry, which provides multidimensional information including cell size and granularity through light scattering and fluorescence emission generated by the induction of light of a specific wavelength to the fluorescently treated cells or micro particles, plays an important role in biomedical and biophysical fields. However, it has some drawbacks such as high cost, size of the instrument and limitation in selecting fluorescent dyes. Therefore, in this paper, a low cost compact fluorescent detection system is developed using light-emitting diode and microcontroller. The proposed fluorescence detection system has a replaceable the light source/fluorescence filter/photodetector and constructed by 3D printer, so that the user can design a customized system according to the selected fluorescent dyes. The fluorescence intensity was measured by varying the number of fluorescently labeled cells, and the measured intensities showed a high linearity within the tested concentration ranges.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.8
• /
• pp.1517-1523
• /
• 2016

The global medical tourism industry including Asian market has been activating recently. That is as medical tourists are motivated to seek the higher quality of healthcare with lower costs, as well as of travel. The consumers in this field tend to need customized services of medical tourism. It is needed that the consumers get customized information on medical services and traveling, the clinics and hospitals resolve the issues of offering translation and luring medical tourists from overseas, and the guides, who offer tour and translation service, provide the consumers and the clinics with customized services so that they get the services needed for one another. This research studies the Offline to Online, called O2O, matching platform based on global clinics, which connects medical facilities, patients, and guides for traveling and language services. It presents the customized marketing plans by utilizing customers' experiences from medical services and traveling they use.