Reducing false alarms in syndromic surveillance

Statistics in Medicine

Volumn 30, Issue 14, 2011, Pages 1665-1677

  Peter, William ^a   Najmi, Amir H ^a   Burkom, Howard S ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Biosurveillance; Information theory; Public health; Syndromic counts

Indexed keywords

ARTICLE; BIOSTATISTICS; DISEASE SURVEILLANCE; HEALTH CARE UTILIZATION; HEALTH SURVEY; INFORMATION PROCESSING; MEDICAL INFORMATICS; MONTE CARLO METHOD; MUTUAL INFORMATION; NOISE CANCELLATION FILTER TECHNIQUE; NOISE REDUCTION; PUBLIC HEALTH SERVICE; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; TIME SERIES ANALYSIS;

ALGORITHMS; AUTOMATIC DATA PROCESSING; BIAS (EPIDEMIOLOGY); BIOSTATISTICS; BIOSURVEILLANCE; BOTULISM; COMPUTER SIMULATION; DELIVERY OF HEALTH CARE; EXANTHEMA; HUMANS; INFORMATION THEORY; MODELS, STATISTICAL; MONTE CARLO METHOD; ROC CURVE; SYNDROME;

EID: 79957939425     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4204     Document Type: Article

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