A Comparison of Cox Regression and Neural Networks for Risk Stratification in Cases of Acute Lymphoblastic Leukaemia in Children

No abstract is available for this paper.

• Publication year

  1999

• Venue

  Neural computing & applications (Print)

• Publication date

  1999-01-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1007/s005210050028PMID 10027735
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A COMPARISON OF COX REGRESSION AND NEURAL NETWORKS FOR RISK STRATIFICATION IN CASES OF ACUTE LYMPHOBLASTIC LEUKAEMIA IN CHILDREN

  1999cited by this paper
• Residual disease detection using fluorescent polymerase chain reaction at 20 weeks of therapy predicts clinical outcome in childhood acute lymphoblastic leukemia.

  1998cited by this paper
• Acyclovir prophylaxis and fever during remission-induction therapy of patients with acute myeloid leukemia: a randomized, double-blind, placebo-controlled trial.

  1997cited by this paper
• Survival Analysis: A Self-Learning Text

  1997cited by this paper
• Herpes simplex infection of the jejunum occurring in the early post-transplantation period

  1997cited by this paper
• Selecting treatment for children with acute lymphoblastic leukemia.

  1996cited by this paper
• Prospective validation of artificial neural network trained to identify acute myocardial infarction.

  1996cited by this paper
• Fulminant hepatic failure secondary to herpes simplex virus hepatitis. Successful outcome after orthotopic liver transplantation.

  1995cited by this paper
• A neural network model for survival data.

  1995cited by this paper
• Pattern Recognition and Neural Networks

  1995cited by this paper
• Nervous about artificial neural networks?

  1995cited by this paper
• Intensification of treatment and survival in all children with lymphoblastic leukaemia: results of UK Medical Research Council trial UKALL X. Medical Research Council Working Party on Childhood Leukaemia.

  1995cited by this paper
• Liver failure due to disseminated HSV-1 infection in a newborn twin.

  1995cited by this paper
• Gender and treatment outcome in childhood lymphoblastic leukaemia: report from the MRC UKALL trials *

  1995influential reference
• Fulminant hepatic failure secondary to herpes simplex virus hepatitis. Successful outcome after orthotopic liver transplantation.

  1995cited by this paper
• Commentary: Prognostic models: clinically useful or quickly forgotten?

  1995cited by this paper
• Treatment of acute lymphoblastic leukemia.

  1994cited by this paper
• A technique for using neural network analysis to perform survival analysis of censored data.

  1994cited by this paper
• Neural Networks for Pattern Recognition

  1993influential reference
• Oral acyclovir as prophylaxis for bacterial infections during induction therapy for acute leukaemia in adults

  1993cited by this paper
• Clinical and biologic relevance of immunologic marker studies in childhood acute lymphoblastic leukemia.

  1993cited by this paper
• Ploidy of lymphoblasts is the strongest predictor of treatment outcome in B-progenitor cell acute lymphoblastic leukemia of childhood: a Pediatric Oncology Group study.

  1992cited by this paper
• Human visual perception and ROC methodology in medical imaging.

  1992cited by this paper
• The contribution of statistical methods to cancer research

  1991cited by this paper
• Comparative results of two intensive treatment programs for childhood acute lymphoblastic leukemia: The Berlin-Frankfurt-Münster and Dana-Farber Cancer Institute protocols.

  1991cited by this paper
• A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders

  1990cited by this paper
• Biology and clinical significance of cytogenetic abnormalities in childhood acute lymphoblastic leukemia.

  1990cited by this paper
• An Introduction to Medical Statistics

  1987cited by this paper
• Report and recommendations of the Rome workshop concerning poor-prognosis acute lymphoblastic leukemia in children: biologic bases for staging, stratification, and treatment.

  1986cited by this paper

• Using Artificial Neural Networks to Predict Claim Duration in a Work Injury Compensation Environment

  2026cites this paper
• Faculty of Sciences Department of Applied mathematics and computer science Neural Network Survival Analysis

  2010cites this paper
• Data Mining Using Neural Networks: A Guide for Statisticians

  2009cites this paper
• Presence of Herpes Simplex Virus on the Oral Mucosa in Patients Undergoing Chemotherapy

  2007cites this paper
• A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests

  2007influential citation
• Predicting the type of pregnancy using artificial neural networks and multinomial logistic regression: a comparison study

  2005cites this paper
• Herpes simplex virus pneumonia during standard induction chemotherapy for acute leukemia: case report and review of literature

  2005cites this paper
• Generalized herpes simplex virus infection in an immunocompromised patient--report of a case and review of the literature.

  2005cites this paper
• A comparison between functional networks and artificial neural networks for the prediction of fishing catches

  2004cites this paper