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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | Article | Evolution and international transmission of H3N2 canine influenza A viruses from Korea during 2014-2017 | Avian-origin H3N2 canine influenza A viruses (CIVs) have become enzootic in China and Korea and have sporadically transmitted to North America, causing multiple epidemics. We isolated six CIVs in Korea from CIV-infected patients during 2014-2017 and conducted whole genome sequencing and phylogenetic analyses. Results revealed that CIVs have circulated and evolved in Korea since the early 2000s and then diversified into a new clade, probably contributing to multiple epidemics in China, the USA, and Canada. Our findings bridge an evolutionary gap for understanding the global transmission of CIVs, emphasizing the significance of continuous monitoring of CIVs. | Lee, Chung-Young | Kyungpook Natl Univ, Sch Med, Dept Microbiol, 680 Gukchaebosang Ro, Daegu 41944, South Korea | cylee87@knu.ac.kr; | JOURNAL OF VETERINARY SCIENCE | J VET SCI | 1229-845X | 1976-555X | 24 | 6 | SCIE | VETERINARY SCIENCES | 2023 | 1.5 | 39.2 | 0 | phylogenetic analysis; infectious disease transmission; molecular evolution | English | 2023 | 2023-11 | 10.4142/jvs.231051976-555x | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Meeting Abstract | O64 | PK/PD based dose optimization of enrofloxacin in combination with sulfamethoxazole/ trimethoprim against Pasteurella multocida in pigs | Lee, E. B.; Park, S. C. | Kyungpook Natl Univ, Cardiovasc Res Inst, Coll Vet Med, Lab Vet Pharmacokinet & Pharmacodynam, Daegu, South Korea | Park, Chang/AAT-3439-2021 | JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS | J VET PHARMACOL THER | 0140-7783 | 1365-2885 | 46 | SCIE | PHARMACOLOGY & PHARMACY;VETERINARY SCIENCES | 2023 | 1.5 | 39.2 | 0 | English | 2023 | 2023-06 | 10.1111/jvp.13230 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | Meeting Abstract | Pharmacokinetic-pharmacodynamic integration of lincomycin against Actinobacillus pleuropneumoniae in swine | Lee, E. B.; Park, S. C. | Kyungpook Natl Univ, Cardiovasc Res Inst, Coll Vet Med, Lab Vet Pharmacokinet & Pharmacodynam, Daegu, South Korea | Park, Chang/AAT-3439-2021 | JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS | J VET PHARMACOL THER | 0140-7783 | 1365-2885 | 46 | SCIE | PHARMACOLOGY & PHARMACY;VETERINARY SCIENCES | 2023 | 1.5 | 39.2 | 0 | English | 2023 | 2023-06 | 10.1111/jvp.13283 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | ○ | Article | Successful repair of coracoid and femur fractures in a Eurasian eagle owl (Bubo bubo) and its post-release survival | To our knowledge, this is the first case of concurrent diaphyseal left coracoid and left femoral fractures in a Eurasian eagle owl and its post-release survival in Korea. The femur was surgically repaired using an external skeletal fixator-intramedullary (IM) pin tie-in method, and the coracoid was repaired solely with an IM pin on day 6 after femur surgery. The eagle owl underwent a gradual rehabilitation process. The bird was successfully rehabilitated and released 101 d after initial presentation. The bird was monitored using a wildlife tracking device and was confirmed to have survived for over 5 mon in the wild. | Kim, Hee-Jong; Kim, Kyoo-Tae | Natl Inst Ecol, Res Ctr Endangered Species, Yeongyang 36531, South Korea; Chungnam Natl Univ, Coll Vet Med, Dept Vet Med, Daejeon 34134, South Korea; Kyungpook Natl Univ, Coll Vet Med, Dept Vet Med, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll Vet Med, Dept Vet Med, 80 Daehak Ro, Daegu 41566, South Korea | Kim, Hee-Jong/HTR-2813-2023 | 57206210509; 56680415000 | kyootae@knu.ac.kr; | JOURNAL OF VETERINARY SCIENCE | J VET SCI | 1229-845X | 1976-555X | 24 | 1 | SCIE | VETERINARY SCIENCES | 2023 | 1.5 | 39.2 | 0 | 2025-06-25 | 0 | 0 | Eurasian eagle owl; Bubo bubo; fractures; post-release monitoring | WILD BIRDS; HOME-RANGE; REHABILITATION | Bubo bubo; Eurasian eagle owl; fractures; post-release monitoring | Animals; Animals, Wild; Femur; Fractures, Bone; Strigiformes; bacitracin; banepo; enrofloxacin; Hartmann solution; meloxicam; neomycin; polymyxin B; Article; bacterial infection; brachial vein; Bubo bubo; coracoid process; crackle; excision; femur fracture; fracture treatment; iatrogenic disease; intubation; Korea; male; monitoring; nonhuman; open reduction (procedure); owl; postoperative care; recumbency; rehabilitation care; scapula fracture; survival; telemetry; animal; case report; femur; fracture; surgery; veterinary medicine; wild animal | English | 2023 | 2023-01 | 10.4142/jvs.22240 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Boosted support vector machines with genetic selection | This paper describes the experimental studies of ensembles of binary classifiers conformed of individual support vector machines. The GenBoost-SVM method is proposed to construct such ensembles. Our ensembles considered an adaptive boosting algorithm. We analyzed different pre-selections using genetic algorithms to reduce the size of the training samples and hence the training times. These genetic selections addressed the imbalanced data challenge directly. Furthermore, in our ensembles, diversity and early stopping were considered to help to reduce the generalization error. We proposed 56 different types of ensembles that permute the support vector machine kernels, genetic selections and diversity. We found that our ensembles, which consider genetic selections and diversity, exhibit competitive performances when compared with various popular classifiers, and for imbalanced data, they outperform most of the considered popular classifiers. We show that using different support vector machine kernels leads to enhanced performances. To the best of our knowledge, this is the first study that combines adaptive boosted ensembles, genetic selections, and support vector machines. | Ramirez-Morales, A.; Salmon-Gamboa, J. U.; Li, Jin; Sanchez-Reyna, A. G.; Palli-Valappil, A. | Kyungpook Natl Univ, Ctr High Energy Phys, 80 Daehak Ro, Daegu 45166, South Korea; Kings Coll London, Dept Phys, London WC2R 2LS, England; Kings Coll London, London Ctr Nanotechnol, London WC2R 2LS, England; Univ Autonoma Zacatecas, Unidad Acad Ingn Elect, Jardin Juarez 147, Zacatecas 98000, Zacatecas, Mexico | ; Ramirez, Andres/HZK-9375-2023; Pallivalappil, Abdul Shareef/LZF-9017-2025 | 59815765800; 57200142583; 55870040700; 57212004848; 57747069600 | andres@knu.ac.kr;jorge.salmon@kcl.ac.uk;lijin@knu.ac.kr;ing.agsreynal9@gmail.com;anusha.pv@btech.christuniversity.in; | APPLIED INTELLIGENCE | APPL INTELL | 0924-669X | 1573-7497 | 53 | 5 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2023 | 3.4 | 39.3 | 0.75 | 2025-06-25 | 6 | 8 | Support vector machines; Adaboost; Genetic selection; Ensemble | ADABOOST; ALGORITHMS; ENSEMBLE | Adaboost; Ensemble; Genetic selection; Support vector machines | Genetic algorithms; Support vector machines; Vectors; Adaptive boosting algorithms; Binary classifiers; Ensemble; Genetic selection; Genetics diversities; Imbalanced data; Pre-selection; Support vectors machine; Training sample; Training time; Adaptive boosting | English | 2023 | 2023-03 | 10.1007/s10489-022-03712-z | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Host Range Expansion of Nest-Parasitic Moths Pyralis regalis and Hypsopygia mauritialis in Social Wasp Nests: New Findings and Implications for Biological Control | Parasitic moths are common in social wasp (Hymenoptera) nests, attacking many species of Polistinae and a few species of Vespinae. In the Republic of Korea, two moth species are known to parasitize the brood of Polistes rothneyi koreanus: Pyralis regalis (Pyralidae) and Anatrachyntis japonica (Cosmopterigidae). Although previously reported elsewhere, a novel case of parasitization was recently documented in the Republic of Korea, in which Hypsopygia mauritialis (Pyralidae) was identified in the nests of social wasps. Pyralis regalis is the most common parasitic moth in the Republic of Korea, feeding on the nests of 11 species of social wasps, mostly the Korean Vespa species. To that list of hosts, we add a species of Dolichovespula and two species of Polistes. Parasitism of Vespa velutina nigrithorax, an invasive alien hornet, by both P. regalis and H. mauritialis, was observed for the first time. However, their potential to control invasive alien hornets is expected to be low. This study provides new insights into the diversity of nest-parasitic moths in social wasp nests and their hosts in the Republic of Korea, and highlights the potential for these moths to impact pest populations. | Shin, Young-Min; Lee, Heung Sik; Kim, Il-Kwon; Kim, Chang-Jun; Choi, Moon Bo | Korea Natl Arboretum, Div Forest Biodivers, Pochon 11816, South Korea; Ctr Plant Quarantine Technol, Anim & Plant Quarantine Agcy, Gimcheon 39660, South Korea; Korea Natl Arboretum, Div Gardens & Educ, Pochon 11816, South Korea; Kyungpook Natl Univ, Inst Plant Med, Daegu 41566, South Korea; Wild Beei, Dept R&D, Chilgok 39885, South Korea | ; KIm, Changjun/GZM-7308-2022 | 56472223000; 54896579900; 55477687300; 55286588300; 51863232400 | ymshin89@korea.kr;lhsgo@korea.kr;ilkwons91@korea.kr;changjunkim@korea.kr;kosinchoi@hanmail.net; | DIVERSITY-BASEL | DIVERSITY-BASEL | 1424-2818 | 15 | 6 | SCIE | BIODIVERSITY CONSERVATION;ECOLOGY | 2023 | 2.1 | 39.3 | 0.21 | 2025-06-25 | 1 | 1 | Vespidae; parasitoid moth; Hypsopygia; Vespa velutina; Pyralidae; Cosmopterigidae | HORNET VESPA-VELUTINA; PAPER WASP; HYMENOPTERA VESPIDAE; LEPIDOPTERA; VIRUSES; KOREA | Cosmopterigidae; Hypsopygia; parasitoid moth; Pyralidae; Vespa velutina; Vespidae | South Korea; biological control; host range; moth; range expansion; wasp | English | 2023 | 2023-06 | 10.3390/d15060789 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Image quality enhancement of 4D light field microscopy via reference impge propagation-based one-shot learning | Four-dimensional (4D) light-field (LF) microscopes can acquire 3D information about target objects using a microlens array (MLA). However, the resolution and quality of sub-images in the LF images are reduced because of the spatial multiplexing of rays by the element lenses of the MLA. To overcome these limitations, this study proposes an LF one-shot learning technique that can convert LF sub-images into high-quality images similar to the 2D images of conventional optical microscopes obtained without any external training datasets for image enhancement. The proposed convolutional neural network model was trained using only one training dataset comprising a high-resolution reference image captured without an MLA as the ground truth. Further, its input was the central view of the LF image. After LF one-shot learning, the trained model should be able to convert well the other LF sub-images of various directional views that were not used in the main training process. Therefore, novel learning techniques were designed for LF one-shot learning. These novel techniques include an autoencoder-based model initialization method, a feature map-based learning algorithm to prevent the overfitting of the model, and cut loss to prevent saturation. The experimental results verified that the proposed technique effectively enhances the LF image quality and resolution using a reference image. Moreover, this method enhances the resolution by up to 13 times, decreases the noise amplification effect, and restores the lost details of microscopic objects. The proposed technique is stable and yields superior experimental results compared with those of the existing resolution-enhancing methods. | Kwon, Ki Hoon; Erdenebat, Munkh-Uchral; Kim, Nam; Kwon, Ki-Chul; Kim, Min Young | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea; Chungbuk Natl Univ, Sch Informat & Commun Engn, 1 Chungdae Ro, Cheongju 28644, South Korea | 57190749004; 36166588400; 35494120000; 7201503212; 56739349100 | kwons149@naver.com;uchka@chungbuk.ac.kr;namkim@chungbuk.ac.kr;kckwon@chungbuk.ac.kr;minykim@knu.ac.kr; | APPLIED INTELLIGENCE | APPL INTELL | 0924-669X | 1573-7497 | 53 | 20 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2023 | 3.4 | 39.3 | 0.38 | 2025-06-25 | 5 | 4 | Light-field microscopy; Light-field imaging; Resolution enhancement; High-quality reconstruction; One-shot learning | RESOLUTION; PROJECTION; DISPLAY | High-quality reconstruction; Light-field imaging; Light-field microscopy; One-shot learning; Resolution enhancement | Backpropagation; Convolutional neural networks; Image quality; Image reconstruction; Learning systems; Field imaging; Field microscopy; High quality reconstruction; Light fields; Light-field imaging; Light-field microscopy; Micro-lens arrays; One-shot learning; Resolution enhancement; Image enhancement | English | 2023 | 2023-10 | 10.1007/s10489-023-04684-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Meeting Abstract | 3D-printed Platforms For Ligament Orientations In Periodontal Defects Of Canine Model: A Pilot Study | Park, C.; Kim, M.; Eom, H. | Kyungpook Natl Univ, Dent Biomat, Daegu, South Korea | TISSUE ENGINEERING PART A | TISSUE ENG PT A | 1937-3341 | 1937-335X | 29 | 9-10 | SCIE | CELL & TISSUE ENGINEERING;CELL BIOLOGY;ENGINEERING, BIOMEDICAL;MATERIALS SCIENCE, BIOMATERIALS | 2023 | 3.5 | 39.4 | 0 | English | 2023 | 2023-05-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Meeting Abstract | Characterized Surfaces To Accelerate Bone Regeneration In Type 1 Diabetes Mellitus In In-vivo | Park, C.; Kim, M.; Eom, H. | Kyungpook Natl Univ, Dent Biomat, Daegu, South Korea | TISSUE ENGINEERING PART A | TISSUE ENG PT A | 1937-3341 | 1937-335X | 29 | 9-10 | SCIE | CELL & TISSUE ENGINEERING;CELL BIOLOGY;ENGINEERING, BIOMEDICAL;MATERIALS SCIENCE, BIOMATERIALS | 2023 | 3.5 | 39.4 | 0 | English | 2023 | 2023-05-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Meeting Abstract | Hyperglycemia-regulated Dental Pulp Cells To Accelerate Bone Formation In In-vivo | Kim, M.; Eom, H.; Park, C. | Kyungpook Natl Univ, Dent Biomat, Daegu, South Korea | TISSUE ENGINEERING PART A | TISSUE ENG PT A | 1937-3341 | 1937-335X | 29 | 9-10 | SCIE | CELL & TISSUE ENGINEERING;CELL BIOLOGY;ENGINEERING, BIOMEDICAL;MATERIALS SCIENCE, BIOMATERIALS | 2023 | 3.5 | 39.4 | 0 | English | 2023 | 2023-05-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Meeting Abstract | Nitric Oxide-releasing Zinc Oxide And Melatonin-modulated Extracellular Vesicles In Multiplexed PLGA Scaffolds For Chronic Kidney Disease | Han, D.; Rhim, W.; Woo, J.; Kim, J.; Lee, E.; Cha, S.; Kim, B. | CHA Univ, Seongnam Si, South Korea; Kyungpook Natl Univ, Daegu, South Korea | TISSUE ENGINEERING PART A | TISSUE ENG PT A | 1937-3341 | 1937-335X | 29 | 9-10 | SCIE | CELL & TISSUE ENGINEERING;CELL BIOLOGY;ENGINEERING, BIOMEDICAL;MATERIALS SCIENCE, BIOMATERIALS | 2023 | 3.5 | 39.4 | 0 | English | 2023 | 2023-05-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Meeting Abstract | Uniform And Mass Production Of Three-dimensional Cell Spheroids Using Precise Bioink Dispensing Technology | Yun, S.; Ahn, K.; An, S.; Kim, Y.; Gwak, S. | Res Inst SPHEBIO, Pohang, South Korea; Daegu Gyeongbuk Med Innovat Fdn, Daegu, South Korea; Kyungpook Natl Univ, Daegu, South Korea; Wonkwang Univ, Dept Chem Engn, Iksan, South Korea | TISSUE ENGINEERING PART A | TISSUE ENG PT A | 1937-3341 | 1937-335X | 29 | 9-10 | SCIE | CELL & TISSUE ENGINEERING;CELL BIOLOGY;ENGINEERING, BIOMEDICAL;MATERIALS SCIENCE, BIOMATERIALS | 2023 | 3.5 | 39.4 | 0 | English | 2023 | 2023-05-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Case report: Early carotid stent shortening in patient with radiation-induced carotid stenosis | Carotid artery stenting (CAS) for carotid stenosis has been widely used as an alternative treatment in patients not eligible for surgery. The shortening of a carotid stent rarely occurs. We report a case of early shortening of CAS in a patient with radiation-induced carotid stenosis and discuss the potential pathophysiology and strategies for prevention. This case presents a 67-year-old man who underwent radiotherapy for oral cavity squamous cell carcinoma 7 years ago and subsequently developed severe stenosis in the left proximal internal carotid artery. The patient underwent CAS for symptomatic severe carotid stenosis. Follow-up CT angiography revealed shortening of the carotid stent, and additional carotid stenting was performed. We speculate that the possible mechanism of early complication of CAS could be slippage and shortening of the stent due to weak anchoring between the stent strut and the fibrotic arterial wall in radiation-induced carotid stenosis. | Choi, Woochan; Hwang, Yang-Ha; Kim, Yong-Won | Kyungpook Natl Univ Hosp, Dept Neurol, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Neurol, Daegu, South Korea | HWANG, Yang-Ha/F-3068-2013 | 57225111001; 7402311308; 56203298200 | yw.kim23@gmail.com; | FRONTIERS IN NEUROLOGY | FRONT NEUROL | 1664-2295 | 14 | SCIE | CLINICAL NEUROLOGY;NEUROSCIENCES | 2023 | 2.7 | 39.8 | 0 | 2025-06-25 | 0 | 0 | radiation-induced carotid stenosis; carotid stent; carotid artery stenosis; stent shortening; closed cell stent | carotid artery stenosis; carotid stent; closed cell stent; radiation-induced carotid stenosis; stent shortening | acetylsalicylic acid; atorvastatin; clopidogrel; aged; Article; brain infarction; cancer radiotherapy; carotid arteriography; carotid artery stenting; case report; clinical article; computed tomographic angiography; diffusion weighted imaging; disease severity; emergency ward; femoral artery; follow up; hemiparesis; human; internal carotid artery; internal carotid artery stenosis; left common carotid artery; male; mandible reconstruction; mandibulectomy; mouth squamous cell carcinoma; National Institutes of Health Stroke Scale; pathophysiology; patient history of radiotherapy; patient history of surgery; percutaneous transluminal angioplasty; prophylaxis; stent complication; stent shortening | English | 2023 | 2023-05-09 | 10.3389/fneur.2023.1184210 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Clustering and prediction of long-term functional recovery patterns in first-time stroke patients | ObjectivesThe purpose of this study was to cluster long-term multifaceted functional recovery patterns and to establish prediction models for functional outcome in first-time stroke patients using unsupervised machine learning. MethodsThis study is an interim analysis of the dataset from the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO), a long-term, prospective, multicenter cohort study of first-time stroke patients. The KOSCO screened 10,636 first-time stroke patients admitted to nine representative hospitals in Korea during a three-year recruitment period, and 7,858 patients agreed to enroll. Early clinical and demographic features of stroke patients and six multifaceted functional assessment scores measured from 7 days to 24 months after stroke onset were used as input variables. K-means clustering analysis was performed, and prediction models were generated and validated using machine learning. ResultsA total of 5,534 stroke patients (4,388 ischemic and 1,146 hemorrhagic; mean age 63 center dot 31 +/- 12 center dot 86; 3,253 [58.78%] male) completed functional assessments 24 months after stroke onset. Through K-means clustering, ischemic stroke (IS) patients were clustered into five groups and hemorrhagic stroke (HS) patients into four groups. Each cluster had distinct clinical characteristics and functional recovery patterns. The final prediction models for IS and HS patients achieved relatively high prediction accuracies of 0.926 and 0.887, respectively. ConclusionsThe longitudinal, multi-dimensional, functional assessment data of first-time stroke patients were successfully clustered, and the prediction models showed relatively good accuracies. Early identification and prediction of long-term functional outcomes will help clinicians develop customized treatment strategies. | Shin, Seyoung; Chang, Won Hyuk; Kim, Deog Young; Lee, Jongmin; Sohn, Min Kyun; Song, Min-Keun; Shin, Yong-Il; Lee, Yang-Soo; Joo, Min Cheol; Lee, So Young; Han, Junhee; Ahn, Jeonghoon; Oh, Gyung-Jae; Kim, Young-Taek; Kim, Kwangsu; Kim, Yun-Hee | Sungkyunkwan Univ, Ctr Prevent & Rehabil, Samsung Med Ctr, Dept Phys & Rehabil Med,Heart Vasc Stroke Inst,Sch, Seoul, South Korea; Yonsei Univ, Dept & Res Inst Rehabil Med, Coll Med, Seoul, South Korea; Konkuk Univ, Dept Rehabil Med, Sch Med, Seoul, South Korea; Chungnam Natl Univ, Coll Med, Dept Rehabil Med, Daejeon, South Korea; Chonnam Natl Univ, Dept Phys & Rehabil Med, Med Sch, Gwangju, South Korea; Pusan Natl Univ, Yangsan Hosp, Dept Rehabil Med, Sch Med, Yangsan Si, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Rehabil Med, Daegu, South Korea; Wonkwang Univ, Dept Rehabil Med, Sch Med, Iksan, South Korea; Jeju Natl Univ, Jeju Natl Univ Hosp, Dept Rehabil Med, Sch Med, Jeju Si, South Korea; Hallym Univ, Dept Stat, Chuncheon Si, South Korea; Ewha Womans Univ, Dept Hlth Convergence, Seoul, South Korea; Wonkwang Univ, Sch Med, Dept Prevent Med, Iksan, South Korea; Chungnam Natl Univ Hosp, Dept Prevent Med, Daejeon, South Korea; Sungkyunkwan Univ, Coll Comp, Suwon, South Korea; Sungkyunkwan Univ, Samsung Adv Inst Hlth Sci & Technol SAIHST, Dept Med Device Management & Res, Dept Digital Hlth,Dept Hlth Sci & Technol, Seoul, South Korea | Lee, Jongmin/Q-4909-2019; Kim, Young/AEP-2940-2022; Ahn, Jeonghoon/CAA-1956-2022; kim, deog young/Q-8498-2019; Kim, Yun-Hee/GVS-6426-2022 | 57212192499; 35301717900; 55375583000; 57202882113; 7101840459; 55375416600; 55890990500; 57202952463; 56982599700; 57202327370; 57192890252; 8855402200; 7007056685; 57211411051; 57222178806; 57020121600 | yunkim@skku.edu; | FRONTIERS IN NEUROLOGY | FRONT NEUROL | 1664-2295 | 14 | SCIE | CLINICAL NEUROLOGY;NEUROSCIENCES | 2023 | 2.7 | 39.8 | 0.76 | 2025-06-25 | 4 | 4 | stroke; functional recovery; artificial intelligence; machine learning; clustering; prediction | GLOBAL BURDEN | artificial intelligence; clustering; functional recovery; machine learning; prediction; stroke | cholesterol; high density lipoprotein cholesterol; low density lipoprotein cholesterol; accuracy; adult; aged; Agglomerative clustering algorithm; alcohol consumption; algorithm; ambulatory function; American Speech Language Hearing Association's National Outcomes Measurement System; Article; atrial fibrillation; body mass; brain hemorrhage; Calinski Harabasz Index; CatBoost; cerebrovascular accident; Charlson Comorbidity Index; clinical assessment; clinical characteristics; cognition; cohort analysis; combined condition and age related score; computer assisted tomography; controlled study; Davies Boulding Index; demography; diabetes mellitus; diastolic blood pressure; disease severity assessment; education; electrocardiography monitoring; Extra Trees; extreme gradient boosting; female; follow up; Fugl-Meyer Assessment for Lower Extremity; functional assessment; functional recovery pattern; Gaussian Mixture Model; hierarchical clustering; human; hyperlipidemia; hypertension; interim analysis; ischemic stroke; k means clustering; Korean Mini mental State Examination; Korean modified Barthel Index; Korean Stroke Cohort for Functioning and Rehabilitation; Korean version of the Frenchay Aphasia Screening Test Korean version of the Frenchay Aphasia Screening Test; language function; Light Gradient Boosting Machine; long term care; longitudinal study; magnetic resonance angiography; major clinical study; male; middle aged; motor development; motor performance; multicenter study; multifaceted functional assessment; National Institutes of Health Stroke Scale; Neural Network; nuclear magnetic resonance imaging; obesity; outcome assessment; performance; pneumonia; prediction; prospective study; random forest; Silhouette Index; smoking; swallowing function; systolic blood pressure; unsupervised machine learning; urinary tract infection; validation study; very elderly; Weighted Ensemble | English | 2023 | 2023-03-08 | 10.3389/fneur.2023.1130236 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Letter | COVID-19 vaccination in myasthenia gravis: safe, but predictors of disease exacerbation yet to be determined | Kim, Sohyeon; Eun, Mi-Yeon; Seok, Hung Youl | Keimyung Univ, Dongsan Hosp, Dept Neurol, Sch Med, 1035 Dalgubeol Daero, Daegu 42601, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Neurol, Daegu, South Korea | Eun, Mi-Yeon/AAV-2877-2021; Seok, Hung Youl/HZI-4365-2023 | 57214724357; 36463396500; 24472118000 | shy2354@gmail.com; | NEUROLOGICAL SCIENCES | NEUROL SCI | 1590-1874 | 1590-3478 | 44 | 5 | SCIE | CLINICAL NEUROLOGY;NEUROSCIENCES | 2023 | 2.7 | 39.8 | 0 | 2025-06-25 | 0 | 0 | COVID-19; COVID-19 Vaccines; Disease Progression; Humans; Myasthenia Gravis; Vaccination; tozinameran; antibody blood level; coronavirus disease 2019; disease exacerbation; drug safety; human; Letter; myasthenia gravis; vaccination; adverse event; disease exacerbation; prevention and control; vaccination | English | 2023 | 2023-05 | 10.1007/s10072-023-06694-z | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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