Prediction of the progression of thyroid-associated ophthalmopathy at first ophthalmologic examination: Use of a neural network

Thyroid

Volumn 12, Issue 3, 2002, Pages 233-236

  Salvi, Mario ^a   Dazzi, Davide ^a   Pellistri, Isabella ^a   Neri, Fabrizio ^a  

^a UNIVERSITY OF PARMA MEDICAL SCHOOL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COLOR VISION; COMPUTER ASSISTED TOMOGRAPHY; DISEASE CLASSIFICATION; DISEASE COURSE; ENDOCRINE OPHTHALMOPATHY; EYE FUNDUS; EYELID; FEMALE; GRAVES DISEASE; HUMAN; ITALY; MALE; ORBIT; PREDICTION; PRIORITY JOURNAL; RANDOMIZATION; SCHOOL CHILD; TONOMETRY; VISUAL ACUITY; VISUAL FIELD;

EID: 0036207148     PISSN: 10507256     EISSN: None     Source Type: Journal    
DOI: 10.1089/105072502753600197     Document Type: Article

References (6)

1. Classification of eye changes of Graves' disease
2. Clinical criteria for the assessment of disease activity in Graves' ophthalmopathy: A novel approach
3. Effects of computer-based clinical decision support systems on clinician performance and patient outcome
4. The use of a neural network to detect upper airway obstruction caused by goiter
5. Application of neural networks to the ranking of perinatal variables influencing birthweight
6. Natural history of thyroid associated ophthalmopathy