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Usability Assessment of FHIR-based Geriatric Depression Scale Questionnaire Using Chatbot
http://doi.org/10.5626/JOK.2020.47.7.650
As Korea enters the aging society, the interest in, and importance of the elderly are increasing. In particular, the depression of the elderly is an important issue to be addressed. To this end, latency delays are among the most common complaints about those who seek medical examination or to see a doctor. Also, if patients move and are thus are sent to a different hospital because of a change of residence or personal reasons, they may undergo the same examination. In this case, fatigue and economic burden are placed upon the patient because of the re-examination. In this study, we have implemented the chatbot for the Geriatric Depression Scale Questionnaire based on the Fast Healthcare Interoperability Resource, an international health information exchange standard. Unlike the existing paper questionnaire, it has interoperable questionnaire information, and the user’s perceived usability was examined through the evaluation of usability.
C++ based General-purpose Open Source Deep Learning Framework, WICWIU
Chunmyong Park, Jeewoong Kim, Yunho Kee, Jihyeon Kim, Seonggyeol Yoon, Eunseo Choi, Injung Kim
http://doi.org/10.5626/JOK.2019.46.3.253
In this paper, we introduce WICWIU, the first open source deep learning framework among Korean universities. WICWIU provides a variety of operators and modules together with a network structure that can represent an arbitrary general computational graph. The WICWIU features are sufficient to compose widely used deep learning models such as Inception, ResNet, and DenseNet. WICWIU also supports GPU-based massive parallel computing which significantly accelerates the training of neural networks. It is also easily accessible for C++ developers because the whole API is provided in C++. WICWIU has an advantage over Python-based frameworks in memory and performance optimization based on the C++ environment. This eases the customizability of WICWIU for environments with limited resources. WICWIU is readable and extensible because it is composed of C++ codes coupled with consistent APIs. With Korean documentation, it is particularly suitable for Korean developers. WICWIU applies the Apache 2.0 license which is available for any research or commercial purposes for free.
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