A machine learning approach to the detection of fetal hypoxia during labor and delivery

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2010, Pages 1865-1870

  Warrick, Philip A ^a   Hamilton, Emily F ^a   Kearney, Robert E ^a   Precup, Doina ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

BINARY CLASSIFICATION PROBLEMS; FETAL HEART RATE; HYPOXIA DETECTION; MACHINE LEARNING APPROACHES; MODERN HEALTH CARE; OXYGEN DEPRIVATION; PATHOLOGICAL CASE; TIME-SERIES DATA;

LEARNING SYSTEMS;

EID: 77958545829     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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