Learning vector quantization neural networks improve accuracy of transcranial color-coded duplex sonography in detection of middle cerebral artery spasm - Preliminary report

Neuroinformatics

Volumn 6, Issue 4, 2008, Pages 279-290

  Swiercz, Miroslaw ^a   Kochanowicz, Jan ^b   Weigele, John ^c   Hurst, Robert ^c   Liebeskind, David S ^d   Mariak, Zenon ^b   Melhem, Elias R ^c   Krejza, Jaroslaw ^c,e  

^a BIALYSTOK UNIVERSITY OF TECHNOLOGY   (Poland)

^b MEDICAL UNIVERSITY OF BIALYSTOK   (Poland)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e MEDICAL UNIVERSITY OF GDANSK   (Poland)

Author keywords

Artificial neural networks; Blood velocity; Brain arteries; Cerebral blood vessels; Diagnosis; Ischemia; Stroke; Transcranial Doppler; Ultrasound; Vasospasm; Velocimetry

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD FLOW VELOCITY; BRAIN ANGIOGRAPHY; BRAIN CIRCULATION; BRAIN VASOSPASM; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; DOPPLER ECHOGRAPHY; FEMALE; HEART VENTRICLE ENDDIASTOLIC PRESSURE; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE CEREBRAL ARTERY; NERVE CELL NETWORK; PRIORITY JOURNAL; PROSPECTIVE STUDY; SYSTOLE;

ADOLESCENT; ADULT; AGED; ARTIFICIAL INTELLIGENCE; BIOPHYSICS; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; FEMALE; HUMANS; INFARCTION, MIDDLE CEREBRAL ARTERY; MALE; MIDDLE AGED; MIDDLE CEREBRAL ARTERY; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX; STROKE; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL; VASOSPASM, INTRACRANIAL;

EID: 58549095044     PISSN: 15392791     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12021-008-9023-0     Document Type: Article

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