AIMC Topic: Republic of Korea

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Neuroprotective effects of the Phellinus linteus ethyl acetate extract against H2O2-induced apoptotic cell death of SK-N-MC cells.

Nutrition research (New York, N.Y.) Nov 11, 2015
Numerous studies have suggested that neuronal cells are protected against oxidative stress-induced cell damage by antioxidants, such as polyphenolic compounds. Phellinus linteus (PL) has traditionally been used to treat various symptoms in East Asian...
Ethnopharmacology Medicine, Korean Traditional Phellinus Basidiomycota Fruiting Bodies, Fungal Gene Expression Regulation, Enzymologic Oxidoreductases Oxidative Stress Apoptosis Humans Neurons Antioxidants Biological Products Brain Plant Extracts Solvents Polyphenols Republic of Korea Neuroprotective Agents MAP Kinase Signaling System Cell Line, Tumor Nerve Tissue Proteins Acetates Polysaccharides
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NEURAL NETWORK MODELLING OF CARDIAC DOSE CONVERSION COEFFICIENT FOR ARBITRARY X-RAY SPECTRA.

Radiation protection dosimetry Oct 28, 2015
In this article, an approach to compute the dose conversion coefficients (DCCs) is described for the computational voxel phantom 'High-Definition Reference Korean-Man' (HDRK-Man) using artificial neural networks (ANN). For this purpose, the voxel pha...
Neural Networks, Computer Software Computer Simulation Republic of Korea Male Humans Tissue Distribution Phantoms, Imaging X-Rays Signal Processing, Computer-Assisted Body Size Heart Photons Programming Languages Monte Carlo Method
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Multicentre study of robotic intersphincteric resection for low rectal cancer.

The British journal of surgery Aug 27, 2015
BACKGROUND: There is a lack of information regarding the oncological safety of robotic intersphincteric resection (ISR) with coloanal anastomosis. The objective of this study was to compare the long-term feasibility of robotic compared with laparosco...
Colectomy Anal Canal Conversion to Open Surgery Adenocarcinoma Follow-Up Studies Survival Rate Robotics Humans Male Neoplasm Staging Republic of Korea Postoperative Complications Rectal Neoplasms Female Time Factors Disease-Free Survival Laparoscopy Anastomosis, Surgical Neoplasm Recurrence, Local
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MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices.

International journal of medical informatics Aug 17, 2015
OBJECTIVE: The increasing use of health self-tracking devices is making the integration of heterogeneous data and shared decision-making more challenging. Computational analysis of lifelog data has been hampered by the lack of semantic and syntactic ...
Republic of Korea Self Care Information Storage and Retrieval Biological Ontologies Terminology as Topic Electronic Health Records Medical Records
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Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Journal of Korean medical science Jul 15, 2015
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Ca...
Breast Neoplasms Middle Aged Risk Assessment Prevalence Diagnosis, Computer-Assisted Aged Aged, 80 and over Adult Sensitivity and Specificity Early Detection of Cancer Pattern Recognition, Automated Women's Health Humans Female Reproducibility of Results Risk Factors Machine Learning Republic of Korea
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Fuzzy association rule mining and classification for the prediction of malaria in South Korea.

BMC medical informatics and decision making Jun 18, 2015
BACKGROUND: Malaria is the world's most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality.
Malaria Data Mining Epidemiological Monitoring Humans Republic of Korea Fuzzy Logic
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Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

The Journal of international medical research May 22, 2015
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...
Papillomaviridae Support Vector Machine Adult Age Factors Sensitivity and Specificity Biopsy Humans Child Uterine Cervical Neoplasms Asian People Republic of Korea Vaginal Smears Disease Progression Female Middle Aged Genotype Adolescent Aged Young Adult
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Prediction of effluent concentration in a wastewater treatment plant using machine learning models.

Journal of environmental sciences (China) Apr 20, 2015
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentratio...
Water Purification Prognosis Republic of Korea Neural Networks, Computer Wastewater Sensitivity and Specificity Support Vector Machine Nitrogen Water Quality
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Comprehensive studies of hydrogeochemical processes and quality status of groundwater with tools of cluster, grouping analysis, and fuzzy set method using GIS platform: a case study of Dalcheon in Ulsan City, Korea.

Environmental science and pollution research international Mar 18, 2015
This research aimed at developing comprehensive assessments of physicochemical quality of groundwater for drinking and irrigation purposes at Dalcheon in Ulsan City, Korea. The mean concentration of major ions represented as follows: Ca (94.3 mg/L) >...
Chemical Phenomena Drinking Water Agricultural Irrigation Mining Environmental Monitoring Fuzzy Logic Cluster Analysis Water Quality Humans Republic of Korea Groundwater
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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea.

The Science of the total environment Sep 19, 2014
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, such as algal blooms that degrade the water quality in lakes, reservoirs and estuaries. In this study, artificial neural network (ANN) and support vecto...
Water Pollution, Chemical Neural Networks, Computer Artificial Intelligence Chlorophyll Fresh Water Republic of Korea Chlorophyll A Models, Chemical Environmental Monitoring Estuaries Water Pollutants, Chemical
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