Comparing performances of logistic regression and neural networks for predicting melatonin excretion patterns in the rat exposed to ELF magnetic fields

Bioelectromagnetics

Volumn 31, Issue 2, 2010, Pages 164-171

  Jahandideh, Samad ^a   Abdolmaleki, Parviz ^a   Movahedi, Mohammad Mehdi ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Algorithmic and non algorithmic models; Melatonin secretion; Pineal gland; Prediction

Indexed keywords

ELECTROMAGNETIC FIELDS; HORMONES; MAGNETIC FIELDS; NEURAL NETWORKS; PHYSIOLOGY; POLARIZATION; RATS; REGRESSION ANALYSIS; STATISTICS;

ALGORITHMIC AND NON-ALGORITHMIC MODEL; ALGORITHMIC MODEL; ALGORITHMICS; EXCRETION PATTERN; EXPOSED TO; LOGISTICS REGRESSIONS; MAGNETIC-FIELD; MELATONIN SECRETION; PERFORMANCE; PINEAL GLAND;

FORECASTING;

RATTUS;

MELATONIN;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; ELECTROMAGNETIC FIELD; EVALUATION; FACTUAL DATABASE; PINEAL BODY; RADIATION EXPOSURE; RAT; SECRETION; STATISTICAL MODEL; TIME;

ALGORITHMS; ANIMALS; DATABASES, FACTUAL; ELECTROMAGNETIC FIELDS; LOGISTIC MODELS; MELATONIN; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); PINEAL GLAND; RATS; TIME FACTORS;

EID: 75649127978     PISSN: 01978462     EISSN: 1521186X     Source Type: Journal    
DOI: 10.1002/bem.20541     Document Type: Article

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