Probabilistic Neural Network Prediction of Ascites in Broilers Based on Minimally Invasive Physiological Factors

Poultry Science

Volumn 76, Issue 11, 1997, Pages 1513-1516

  Roush, W B ^a   Cravener, T L ^a   Kochera Kirby, Y ^b   Wideman Jr , R F ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF ARKANSAS   (United States)

Author keywords

Ascites; Neural networks; Pulmonary hypertension

Indexed keywords

AVES;

OXYGEN;

ANIMAL; ANIMAL DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASCITES; BIRD DISEASE; BLOOD; BODY WEIGHT; CHICKEN; DISEASE PREDISPOSITION; ELECTROCARDIOGRAPHY; HEART RATE; HEMATOCRIT; INCIDENCE; MALE; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTION AND FORECASTING; PROBABILITY; RISK FACTOR; SENSITIVITY AND SPECIFICITY;

ANIMALS; ASCITES; BODY WEIGHT; CHICKENS; DISEASE SUSCEPTIBILITY; ELECTROCARDIOGRAPHY; HEART RATE; HEMATOCRIT; INCIDENCE; MALE; NEURAL NETWORKS (COMPUTER); OXYGEN; POULTRY DISEASES; PREDICTIVE VALUE OF TESTS; PROBABILITY; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 0031262807     PISSN: 00325791     EISSN: None     Source Type: Journal    
DOI: 10.1093/ps/76.11.1513     Document Type: Article

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