Application of the Naïve Bayesian Classifier to optimize treatment decisions.

[1]  E. Alexander,et al.  Evaluation of BCNU and/or radiotherapy in the treatment of anaplastic gliomas. A cooperative clinical trial. , 1978, Journal of neurosurgery.

[2]  R. Hatlevoll,et al.  Combined modality therapy of operated astrocytomas grade III and IV. Confirmation of the value of postoperative irradiation and lack of potentiation of bleomycin on survival time: A prospective multicenter trial of the scandinavian glioblastoma study group , 1981, Cancer.

[3]  Igor Kononenko,et al.  Inductive and Bayesian learning in medical diagnosis , 1993, Appl. Artif. Intell..

[4]  D. Nelson,et al.  Recursive partitioning analysis of prognostic factors in three Radiation Therapy Oncology Group malignant glioma trials. , 1993, Journal of the National Cancer Institute.

[5]  F Alemi,et al.  An evaluation of factors influencing Bayesian learning systems. , 1994, Journal of the American Medical Informatics Association : JAMIA.

[6]  Artificial intelligence in medicine: the challenges ahead. , 1996, Journal of the American Medical Informatics Association : JAMIA.

[7]  G Starkschall,et al.  Evaluation and scoring of radiotherapy treatment plans using an artificial neural network. , 1996, International journal of radiation oncology, biology, physics.

[8]  Peter J. F. Lucas,et al.  Model-based diagnosis in medicine , 1997, Artif. Intell. Medicine.

[9]  K. Skullerud,et al.  Survival, prognostic factors, and therapeutic efficacy in low-grade glioma: a retrospective study in 379 patients. , 1997, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  Pat Langley,et al.  Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..

[11]  Ivan Bratko,et al.  Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence , 1999, MIE.

[12]  M. Prados,et al.  Response and progression in recurrent malignant glioma. , 1999, Neuro-oncology.

[13]  A. Abu-Hanna,et al.  Prognostic Models in Medicine , 2001, Methods of Information in Medicine.

[14]  63. Stereotactic radiotherapy for primary and recurrent brain tumors. A new method for improvement of the treatment results , 2001 .

[15]  44. Radiation therapy in the treatment of partially resected low-grade cerebellar astrocytomas in adult patients , 2001 .

[16]  Marek J Druzdzel,et al.  Support of diagnosis of liver disorders based on a causal Bayesian network model. , 2001, Medical science monitor : international medical journal of experimental and clinical research.

[17]  Silja Renooij,et al.  Probabilities for a probabilistic network: a case study in oesophageal cancer , 2002, Artif. Intell. Medicine.

[18]  Ivan Bratko,et al.  Attribute Interactions in Medical Data Analysis , 2003, AIME.

[19]  J. Füller [Comment on the article by Lutterbach J, et al. Multivariate analysis of prognostic factors in patients with Glioblastoma (Strahlenther Onkol 2003;179:8-15[No. 1]]. , 2003, Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].

[20]  J. Acebes,et al.  Prognostic implication of clinical, radiologic, and pathologic features in patients with anaplastic gliomas , 2003, Cancer.

[21]  S. Nemecek,et al.  Prognostic Impact of Hemoglobin Level Prior to Radiotherapy on Survival in Patients with Glioblastoma , 2003, Strahlentherapie und Onkologie.

[22]  W. Sauerbrei,et al.  Multivariate Analysis of Prognostic Factors in Patients with Glioblastoma , 2003, Strahlentherapie und Onkologie.

[23]  Jan C Buckner,et al.  Factors influencing survival in high-grade gliomas. , 2003, Seminars in oncology.

[24]  B. Jeremic,et al.  Multivariate analysis of clinical prognostic factors in patients with glioblastoma multiforme treated with a combined modality approach , 2003, Journal of Cancer Research and Clinical Oncology.

[25]  Raymond Sawaya,et al.  Cystic glioblastoma multiforme: survival outcomes in 22 cases. , 2004, Journal of Neurosurgery.

[26]  B. Jeremic,et al.  Clinical Prognostic Factors in Patients With Malignant Glioma Treated With Combined Modality Approach , 2004, American journal of clinical oncology.

[27]  Early symptoms of brain tumours , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[28]  Peter J. F. Lucas,et al.  Bayesian networks in biomedicine and health-care , 2004, Artif. Intell. Medicine.

[29]  J. Overgaard,et al.  Molecular profiles as predictive marker for the effect of overall treatment time of radiotherapy in supraglottic larynx squamous cell carcinomas. , 2004, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[30]  S. Goodman Introduction to Bayesian methods I: measuring the strength of evidence , 2005, Clinical trials.

[31]  Hui Yan,et al.  Evaluation of an artificial intelligence guided inverse planning system: clinical case study. , 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.