Artificial neural networks and survival prediction in ovarian carcinoma

European Journal of Gynaecological Oncology

Volumn 21, Issue 6, 2000, Pages 583-584

  Kehoe, S ^a   Lowe, D ^a   Powell, J E ^a   Vincente, B ^a  

^a BIRMINGHAM WOMEN S HOSPITAL   (United Kingdom)

Author keywords

Neural Network; Ovarian Cancer; Prognosis

Indexed keywords

ACCURACY; AREA UNDER THE CURVE; ARTIFICIAL NEURAL NETWORK; CANCER STAGING; CANCER SURVIVAL; CLINICAL PRACTICE; CONFERENCE PAPER; FEMALE; HUMAN; INDIVIDUALIZATION; MAJOR CLINICAL STUDY; OUTCOMES RESEARCH; OVARY CARCINOMA; PREDICTION; PROGNOSIS; STATISTICAL MODEL;

ENGLAND; FEMALE; HUMANS; NEURAL NETWORKS (COMPUTER); OVARIAN NEOPLASMS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; ROC CURVE; SURVIVAL ANALYSIS;

EID: 0034468698     PISSN: 03922936     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (4)

1. Application of artificial neural networks to clinical methods
2. Annual reports on the results of treatment in gynecological cancers
3. Artificial neural networks improve the accuracy of cancer survival prediction
4. Advanced ovarian cancer. Neural network analysis to predict treatment outcome