Asan Medical Center View Homepage


Ontology type: grid:Healthcare  | foaf:Organization     


Publications in SciGraph latest 20 shown

  • 2019-12 Risk of acute exacerbations in chronic obstructive pulmonary disease associated with biomass smoke compared with tobacco smoke in BMC PULMONARY MEDICINE
  • 2019-12 A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides in SCIENTIFIC REPORTS
  • 2019-12 Thyroid cancer risks among medical radiation workers in South Korea, 1996–2015 in ENVIRONMENTAL HEALTH
  • 2019-12 Comparison of whole-body MRI, bone scan, and radiographic skeletal survey for lesion detection and risk stratification of Langerhans Cell Histiocytosis in SCIENTIFIC REPORTS
  • 2019-12 Echogenic foci in thyroid nodules: diagnostic performance with combination of TIRADS and echogenic foci. in BMC MEDICAL IMAGING
  • 2019-12 Change in inhaled corticosteroid treatment and COPD exacerbations: an analysis of real-world data from the KOLD/KOCOSS cohorts in RESPIRATORY RESEARCH
  • 2019-12 Lysosomal dysfunction in proteinopathic neurodegenerative disorders: possible therapeutic roles of cAMP and zinc in MOLECULAR BRAIN
  • 2019-12 Avelumab (anti–PD-L1) as first-line switch-maintenance or second-line therapy in patients with advanced gastric or gastroesophageal junction cancer: phase 1b results from the JAVELIN Solid Tumor trial in JOURNAL FOR IMMUNOTHERAPY OF CANCER
  • 2019-12 Correction to: 33rd Annual Meeting & Pre-Conference Programs of the Society for Immunotherapy of Cancer (SITC 2018) in JOURNAL FOR IMMUNOTHERAPY OF CANCER
  • 2019-12 Application of next-generation sequencing to detect variants of drug-resistant Mycobacterium tuberculosis: genotype–phenotype correlation in ANNALS OF CLINICAL MICROBIOLOGY AND ANTIMICROBIALS
  • 2019-05 Reliability of fast magnetic resonance imaging for acute ischemic stroke patients using a 1.5-T scanner in EUROPEAN RADIOLOGY
  • 2019-05 Fibroblast growth factor 21 deficiency aggravates obesity-induced hypothalamic inflammation and impairs thermogenic response in INFLAMMATION RESEARCH
  • 2019-05 Predictive value of sarcopenia and visceral obesity for postoperative pancreatic fistula after pancreaticoduodenectomy analyzed on clinically acquired CT and MRI in EUROPEAN RADIOLOGY
  • 2019-04-11 Identification of SAMD9L as a susceptibility locus for intravenous immunoglobulin resistance in Kawasaki disease by genome-wide association analysis. in THE PHARMACOGENOMICS JOURNAL
  • 2019-04-04 Targeting β-catenin overcomes MEK inhibition resistance in colon cancer with KRAS and PIK3CA mutations in BRITISH JOURNAL OF CANCER
  • 2019-04 Lymph node ratio predictive of recurrence, distant metastasis, and survival in submandibular gland carcinoma patients in JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
  • 2019-04 In Vivo Mapping and Quantification of Creatine Using Chemical Exchange Saturation Transfer Imaging in Rat Models of Epileptic Seizure in MOLECULAR IMAGING AND BIOLOGY
  • 2019-04 Automated detection of vulnerable plaque in intravascular ultrasound images in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
  • 2019-04 Coupling factors involved in preserving bone balance in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2019-04 Added value of diffusion-weighted imaging to conventional MRI for predicting fascial involvement of soft tissue sarcomas in EUROPEAN RADIOLOGY
  • JSON-LD is the canonical representation for SciGraph data.

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "foaf:homepage": [
          {
            "id": "http://eng.amc.seoul.kr/asan/lang/eng/main.do"
          }
        ], 
        "grid:crossrefFunderId": [
          {
            "@value": "501100005006"
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        ], 
        "grid:establishedYear": [
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            "@value": "1989-01-01", 
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        "grid:hasAddress": [
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        "grid:id": [
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        "grid:isni": [
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        ], 
        "grid:wikipediaPage": [
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            "id": "https://en.wikipedia.org/wiki/Asan_Medical_Center"
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        ], 
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        "rdfs:label": "Asan Medical Center", 
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          "http://www.grid.ac/ontology/Healthcare"
        ], 
        "vivo:abbreviation": [
          {
            "@value": "AMC "
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      }, 
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
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        ], 
        "grid:cityName": [
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            "@value": "Seoul"
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        ], 
        "grid:countryCode": [
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            "@value": "KR"
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        "grid:countryName": [
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            "@value": "South Korea"
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        "grid:hasGeonamesCity": [
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        "id": "http://www.grid.ac/institutes/grid.413967.e/address-0", 
        "sdDataset": "grid", 
        "type": [
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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://www.grid.ac/institutes/grid.413967.e'

    N-Triples is a line-based linked data format ideal for batch operations.

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    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.413967.e'


     

    This table displays all metadata directly associated to this object as RDF triples.

    22 TRIPLES      13 PREDICATES      14 URIs      7 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.413967.e sgo:sdDataset grid
    2 vivo:abbreviation AMC
    3 grid:crossrefFunderId 501100005006
    4 grid:establishedYear 1989-01-01
    5 grid:hasAddress grid-institutes:grid.413967.e/address-0
    6 grid:hasWikidataId wd:Q4803501
    7 grid:id grid.413967.e
    8 grid:isni 0000 0001 0842 2126
    9 grid:wikipediaPage https://en.wikipedia.org/wiki/Asan_Medical_Center
    10 rdf:type grid:Healthcare
    11 foaf:Organization
    12 rdfs:label Asan Medical Center
    13 skos:prefLabel Asan Medical Center
    14 foaf:homepage http://eng.amc.seoul.kr/asan/lang/eng/main.do
    15 grid-institutes:grid.413967.e/address-0 sgo:sdDataset grid
    16 grid:cityName Seoul
    17 grid:countryCode KR
    18 grid:countryName South Korea
    19 grid:hasGeonamesCity http://sws.geonames.org/1835848/
    20 rdf:type grid:Address
    21 geo-pos:lat 37.527041
    22 geo-pos:long 127.108338
     




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