Measuring MERCI: Exploring data mining techniques for examining the neurologic outcomes of stroke patients undergoing endo-vascular therapy at Erlanger Southeast Stroke Center

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4704-4707

  McNabb, Matthew ^a   Cao, Yu ^a   Devlin, Thomas ^b   Baxter, Blaise ^b   Thornton, Albert ^c  

^a Graduate School of Computational Engineering   (United States)

^b UNIVERSITY OF TENNESSEE AT CHATTANOOGA   (United States)

^c TROY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CEREBRAL ISCHEMIA; CLINICAL TRIAL; COMPREHENSIVE STUDIES; DATA ANALYTICS; DATA MINING TECHNIQUES; DATA SETS; ISCHEMIC STROKES; MEDICAL TRIALS; MEDICAL USE; PATIENT DATA; PERFORMANCE ANALYSIS; REAL WORLD DATA; SEARCH ALGORITHMS; STATE OF THE ART; STROKE PATIENTS;

HOSPITAL DATA PROCESSING;

LEARNING ALGORITHMS;

ADULT; AGED; ARTICLE; BRAIN ISCHEMIA; CEREBROVASCULAR ACCIDENT; DATA MINING; DECISION SUPPORT SYSTEM; FEMALE; HUMAN; MALE; MECHANICAL THROMBECTOMY; METHODOLOGY; MIDDLE AGED; OUTCOME ASSESSMENT; PROGNOSIS; REGISTER; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; BRAIN ISCHEMIA; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; FEMALE; HUMANS; MALE; MECHANICAL THROMBOLYSIS; MIDDLE AGED; OUTCOME ASSESSMENT (HEALTH CARE); PROGNOSIS; REGISTRIES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STROKE; TREATMENT OUTCOME; YOUNG ADULT;

EID: 84870841817     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347017     Document Type: Conference Paper

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