Prospects for clinical decision support in breast cancer based on neural network analysis of clinical survival data

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 2, Issue , 2000, Pages 764-767

  Kates, R ^a   Harbeck, N ^a   Schmitt, M ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Censoring; Decision support; Neural nets; Survival models

Indexed keywords

DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISEASES; HAZARDS; ONCOLOGY; RISK ASSESSMENT;

BREAST CANCER; CENSORING; CLINICAL DECISION SUPPORT; DECISION SUPPORT FRAMEWORK; DECISION SUPPORTS; FOLLOW UP; NEURAL NETWORK ANALYSIS; NEURAL-NETWORKS; SURVIVAL DATA; SURVIVAL MODEL;

NEURAL NETWORKS;

CLINICAL DECISION SUPPORT;

EID: 0033645504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.884158     Document Type: Conference Paper

References (2)

1. Harbeck N, Thomssen C, Berger U, Ulm K, Kates R, Hoefler H, Jaenicke F, Graeff H, Schmitt M. "Invasion marker PAI-1 remains a strong prognostic factor after long-term follow-up both for primary breast cancer and following first relapse", Breast Cancer Research and Treatment 54, pp. 147-157 (1999).
2. Kates R, Harbeck N, Ulm K, Jaenicke F Graeff H, Schmitt M. "Decision support in breast cancer: Recent advances in prognostic and predictive techniques", CRC, in press.