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Splanchnic Nerve Block at T12 Level

Park CH, Yoon KM, Oh HK

  • KMID: 1946574
  • J Korean Pain Soc.
  • 1992 May;5(1):17-22.
Splanchnic nerve block (SNP) is perfomed to relieve intractable upper abdominal cancer pain. Boas, in a technique using fluoroscopy, was the first to note the difference between transcrural celiac plexus...
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A Program for Efficient Phasing of Three-Generation Trio SNP Genotype Data

Song S, Kim S

  • KMID: 1806241
  • Genomics Inform.
  • 2011 Sep;9(3):138-141.
Here, we report a computer program written in Python, which phases SNP genotypes and infers inherited deletions based on the pattern of Mendelian inheritance within a trio pedigree. When tiered...
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Applying Deep Learning in Medical Images: The Case of Bone Age Estimation

Lee JH, Kim KG

OBJECTIVES: A diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information...
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HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records

Aggarwal A, Garhwal S, Kumar A

OBJECTIVES: One of the most important functions for a medical practitioner while treating a patient is to study the patient's complete medical history by going through all records, from test...
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The Development of an Automatic Chronic Otitis Media Operation Recording System with Concurrent Data Input Process

Byun SW, Jung SY, Jung I, Park JY

BACKGROUND AND OBJECTIVES: It takes considerable time and effort to make an operation record for the chronic otitis media. Also there are risks of incorrectness or omission of data. We...
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Semantic Network Analysis about Comments on Internet Articles about Nurse Workplace Bullying

Kim CH, Moon SM

PURPOSE: A significant amount of public opinion about nurse bullying is expressed on the internet. The purpose of this study was to analyze the linkage structures among words extracted from...
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Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis

Alnujaim I, Kim Y

OBJECTIVES: Human motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure. To analyze human motion with micro-Doppler signatures measured...
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Molecular Identification of Cryptosporidium Species from Pet Snakes in Thailand

Yimming B, Pattanatanang K, Sanyathitiseree P, Inpankaew , Kamyingkird K, Pinyopanuwat N, Chimnoi W, Phasuk J

Cryptosporidium is an important pathogen causing gastrointestinal disease in snakes and is distributed worldwide. The main objectives of this study were to detect and identify Cryptosporidium species in captive snakes...
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Identification of bacteria from the oral cavity and cloaca of snakes imported from Vietnam

Jho YS, Park DH, Lee JH, Cha SY, Han JS

Reptiles are used for various purposes these days, including public exhibits, medicinal applications, and as laboratory animals. As the international exchange of reptiles has gradually increased, more people have had...
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Semantic Network Analysis of Online News and Social Media Text Related to Comprehensive Nursing Care Service

Kim M, Choi M, Youm Y

PURPOSE: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large...
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Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis

Nam S, Sohn MK, Kim HA, Kong HJ, Jung IY

OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an...
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Health Information Technology Trends in Social Media: Using Twitter Data

Lee J, Kim J, Hong YJ, Piao M, Byun A, Song H, Lee HS

OBJECTIVES: This study analyzed the health technology trends and sentiments of users using Twitter data in an attempt to examine the public's opinions and identify their needs. METHODS: Twitter data related...
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Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

Lee JH, Kim DH, Jeong SN, Choi SH

PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and...
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Quantitative Evaluation of the First Order Creatine-Kinase Reaction Rate Constant in in vivo Shunted Ovine Heart Treated with Oxandrolone Using Magnetization Transfer 31P Magnetic Resonance Spectroscopy (MT-31P-MRS) and 1H/31P Double-Tuned Surface Coil: a Preliminary Study

Thapa B, Dahl M, Kholmovski E, Burch P, Frank D, Jeong EK

PURPOSE: Children born with single ventricle physiology demonstrate poor growth rate and suffer from malnutrition, which lead to increased morbidity and mortality in this population. We assume that an anabolic...
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Machine Learning Model to Predict Osteoporotic Spine with Hounsfield Units on Lumbar Computed Tomography

Nam KH, Seo I, Kim DH, Lee JI, Choi BK, Han IH

OBJECTIVE: Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides...
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Generating Motion- and Distortion-Free Local Field Map Using 3D Ultrashort TE MRI: Comparison with Tâ‚‚* Mapping

Jeong K, Thapa B, Han BS, Kim D, Jeong EK

PURPOSE: To generate phase images with free of motion-induced artifact and susceptibility-induced distortion using 3D radial ultrashort TE (UTE) MRI. MATERIALS AND METHODS: The field map was theoretically derived by solving...
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Extracting Structured Genotype Information from Free-Text HLA Reports Using a Rule-Based Approach

Lee KH, Kim HJ, Kim YJ, Kim JH, Song EY

BACKGROUND: Human leukocyte antigen (HLA) typing is important for transplant patients to prevent a severe mismatch reaction, and the result can also support the diagnosis of various disease or prediction...
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