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Article
Open AccessThe application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection
Reducing the time to diagnose COVID-19 helps to manage insufficient isolation-bed resources and adequately accommodate critically ill patients. There is currently no alternative method to real-time reverse tra...
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Article
Open AccessDeep learning based prediction of prognosis in nonmetastatic clear cell renal cell carcinoma
Survival analyses for malignancies, including renal cell carcinoma (RCC), have primarily been conducted using the Cox proportional hazards (CPH) model. We compared the random survival forest (RSF) and DeepSurv...
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Article
Open AccessAutomated pipette failure monitoring using image processing for point-of-care testing devices
The accuracy and precision of liquid handling can be altered by several causes including wearing or failure of parts, and human error. The last cause is crucial since point-of-care testing (POCT) devices can b...
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Article
Open AccessA study of polymerase chain reaction device control via cloud using Firebase Cloud Messaging protocol
In this paper, we propose a system for data monitoring and control of polymerase chain reaction (PCR) externally. PCR is a technique for amplifying a desired DNA molecule by repeatedly synthesizing a specific ...
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Article
Open AccessComparison of named entity recognition methodologies in biomedical documents
Biomedical named entity recognition (Bio-NER) is a fundamental task in handling biomedical text terms, such as RNA, protein, cell type, cell line, and DNA. Bio-NER is one of the most elementary and core tasks ...
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Article
Open AccessEvaluation-independent system for DNA section amplification
In general, the image analysis of nucleic acid for detecting DNA is dependent on the gel documentation system. These experiments may deal with harmful staining agents and are time consuming. To address these i...
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Article
Open AccessPerformance evaluation of optimal real-time polymerase chain reaction achieved with reduced voltage
Polymerase chain reaction (PCR) is used in nucleic acid tests of infectious diseases in point-of-care testing. Previous studies have demonstrated real-time PCR that uses a micro-PCR chip made of packing tape, ...
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Article
Open AccessBest serum biomarker combination for ovarian cancer classification
Screening test using CA-125 is the most common test for detecting ovarian cancer. However, the level of CA-125 is diverse by variable condition other than ovarian cancer. It has led to misdiagnosis of ovarian ...
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Article
Open AccessPermanent magnet actuation for magnetic bead-based DNA extraction
Recently, automatic molecular diagnostic devices to extract DNA have been extensively developed using magnetic beads. While various methods can be applied to the control of the beads, the efficiency of the con...
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Article
Open AccessA method of inferring the relationship between Biomedical entities through correlation analysis on text
One of the most important processes in a machine learning-based natural language processing is to represent words. The one-hot representation that has been commonly used has a large size of vector and assumes ...
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Chapter and Conference Paper
Looking for Better Combination of Biomarker Selection and Classification Algorithm for Early Screening of Ovarian Cancer
This paper demonstrates and evaluates the classification performance of the optimal biomarker combinations that can diagnose ovarian cancer under Luminex exposed environment. The optimal combinations were dete...
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Chapter and Conference Paper
Calibration of Urine Biomarkers for Ovarian Cancer Diagnosis
For the ovarian cancer diagnosis with biomarkers in urine samples, various calibration functions are selected and investigated to compensate the variability of their concentrations. The 15 biomarkers tested in...
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Chapter and Conference Paper
A Multi-phase Semi-supersense Tagging of Korean Unknown Nouns
Supersense tagging is a problem of finding a corresponding semantic super tag (eg. Phenomenon, Act) based on syntactic information and annotated corpora. However, we employ semantic information rather than syn...
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Chapter and Conference Paper
KOST: Korean Semantic Tagger ver. 1.0
Despite that the semantic annotated corpus data is necessary in semantic role labeling of natural language processing, the data set is not quite enough in Korean language. Semantic role labeling is to tag a se...
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Chapter and Conference Paper
Sentence Difficulty Analysis with Local Feature Space and Global Distributional Difference
In this paper, we consider the problem of sentence difficulty analysis from various angles. Past works have endeavored to design deterministic scoring algorithms depending only on semantic and syntactic inform...
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Chapter and Conference Paper
Construction of Korean Semantic Annotated Corpus
Semantic role labeling is to determine semantic relationships between a predicate and its arguments in a sentence. Although semantic annotated corpus should be necessary to do the labeling, unfortunately, Kore...
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Chapter and Conference Paper
An Intelligent Grading System for Descriptive Examination Papers Based on Probabilistic Latent Semantic Analysis
In this paper, we developed an intelligent grading system, which scores descriptive examination papers automatically, based on Probabilistic Latent Semantic Analysis (PLSA). For grading, we estimated semantic ...
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Chapter and Conference Paper
An Intelligent Grading System Using Heterogeneous Linguistic Resources
In this paper, we propose an intelligent grading system using heterogeneous linguistic resources. We used latent semantic kernel as one resource in former research and found that a deficit of indexed terms gav...
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Chapter and Conference Paper
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition
In this paper, we try to find empirically the optimal dimensionality in data-driven models, Latent Semantic Analysis (LSA) model and Probabilistic Latent Semantic Analysis (PLSA) model. These models are used f...
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Chapter and Conference Paper
Machine Translation Systems: E-K, K-E, J-K, K-J
We present four kinds of machine translation system in this description: E-K (English to Korean), K-E (Korean to English), J-K (Japanese to Korean), K-J (Korean to Japanese). Among these, E-K and K-J translati...
