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Modelling antecedents of blood donation motivation among non-donors of varying age and education

The British journal of psychology, 2009-02, Vol.100 (1), p.71-90

2009

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WHY STATISTICS MATTER (A LOT)

Radiotherapy and oncology, 2009-08, Vol.92, p.S10-S10

Dehing, C

2009

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Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy

Medical physics (Lancaster), 2010-04, Vol.37 (4), p.1401-1407

2010

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OC-0257: A Bayesian network model for acute dysphagia prediction in the clinic for NSCLC patients

Radiotherapy and oncology, 2016-04, Vol.119, p.S118-S119

2016

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Maximal neutropenia during chemotherapy and radiotherapy is significantly associated with the development of acute radiation-induced dysphagia in lung cancer patients

Annals of oncology, 2007-05, Vol.18 (5), p.909-916

2007

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Development of a Nomogram for Prediction of Radiation-induced Dysphagia in Lung Cancer Patients Treated with Chemo-radiotherapy or Radiotherapy Alone

International journal of radiation oncology, biology, physics, 2009, Vol.75 (3), p.S109-S109

2009

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Follow-up after curative treatment for breast cancer: Why do we still adhere to frequent outpatient clinic visits?

European journal of cancer (1990), 2007-03, Vol.43 (4), p.647-653

2007

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TU‐D‐AUD A‐02: Machine Learning Based Clinical Research: The Example of Lung Cancer

Medical Physics, 2008-06, Vol.35 (6), p.2900-2900

2008

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Osteopontin Level to Creatinine Clearance Predicts Survival of NSCLC Patients

International journal of radiation oncology, biology, physics, 2007-11, Vol.69 (3), p.S511-S512

2007

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A Knowledge-Model for Predicting Radiation-Induced Esophagitis

International journal of radiation oncology, biology, physics, 2007-11, Vol.69 (3), p.S624-S624

2007

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8509 Development of a nomogram for prediction of survival and local control in larynx carcinoma treated with radiotherapy alone: a cohort study based on 994 patients

European journal of cancer supplements, 2009, Vol.7 (2), p.473-473

2009

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2002 Development and external validation of a nomogram for prediction of radiation-induced dysphagia in 493 lung cancer patients treated with chemo-radiotherapy or radiotherapy alone

European journal of cancer supplements, 2009, Vol.7 (2), p.152-152

2009

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6505 ORAL Survival of non-small cell lung cancer patients treated with (chemo)radiotherapy can be predicted by a combination of total tumor volume, number of positive lymph node stations on PET, performance status, gender and radiation dose

European journal of cancer supplements, 2007, Vol.5 (4), p.357-358

2007

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The Limitations of Dosimetric Parameters for the Prediction of Radiation-Induced Lung Toxicity: An Approach Based on Machine Learning Techniques

International journal of radiation oncology, biology, physics, 2007-11, Vol.69 (3), p.S488-S489

2007

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Repositioning accuracy of fractionated stereotactic irradiation: assessment of isocentre alignment for different dental fixations by using sequential CT scanning

Radiotherapy and oncology, 2005, Vol.74 (1), p.61-66

2005

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Development, External Validation and Further Improvement of a Prediction Model for Survival of Non-small Cell Lung Cancer Patients Treated with (Chemo) Radiotherapy

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S60-S60

2008

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9058 Analysis of tumor texture on a pre-treatment CT scan predicts treatment outcome in NSCLC patients

European journal of cancer supplements, 2009, Vol.7 (2), p.522-523

2009

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2488

International journal of radiation oncology, biology, physics, 2006-11, Vol.66 (3), p.S482

2006

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131 The influence of enema on the position variation of the prostate during the irradiation

Radiotherapy and oncology, 2005-09, Vol.76, p.S68-S68

2005

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2488: Combining Clinical Data With Medical Knowledge Improves Prediction Models for NSCLC After (Chemo) Radiotherapy

International journal of radiation oncology, biology, physics, 2006, Vol.66 (3), p.S482-S482

2006

Volltextzugriff (PDF)

Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy: Bayesian network for survival prediction in lung cancer

Medical physics (Lancaster), 2010-03, Vol.37 (4), p.1401-1407

2010

Volltextzugriff (PDF)

Comparison of Bayesian network and support vector machine modelsfor two-year survival prediction in lung cancer patients treated with radiotherapy

Medical physics (Lancaster), 2010-03, Vol.37 (4), p.1401-1407

2010

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The maximum uptake of super(18)F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1 alpha and GLUT-1 in non-small cell lung cancer

European journal of cancer (1990), 2007-06, Vol.43 (9), p.1392-1398

2007

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Improving the quality and efficiency of breast cancer follow-up: a randomised controlled trial investigating nurse-led follow-up

European journal of cancer supplements, 2006-03, Vol.4 (2), p.93-93

2006

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Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data

2009 International Conference on Machine Learning and Applications, 2009, p.494-497

2009

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Modelling antecedents of blood donation motivation among non-donors of varying age and education

WHY STATISTICS MATTER (A LOT)

Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy

OC-0257: A Bayesian network model for acute dysphagia prediction in the clinic for NSCLC patients

Maximal neutropenia during chemotherapy and radiotherapy is significantly associated with the development of acute radiation-induced dysphagia in lung cancer patients

Development of a Nomogram for Prediction of Radiation-induced Dysphagia in Lung Cancer Patients Treated with Chemo-radiotherapy or Radiotherapy Alone

Follow-up after curative treatment for breast cancer: Why do we still adhere to frequent outpatient clinic visits?

TU‐D‐AUD A‐02: Machine Learning Based Clinical Research: The Example of Lung Cancer

Osteopontin Level to Creatinine Clearance Predicts Survival of NSCLC Patients

A Knowledge-Model for Predicting Radiation-Induced Esophagitis

8509 Development of a nomogram for prediction of survival and local control in larynx carcinoma treated with radiotherapy alone: a cohort study based on 994 patients

2002 Development and external validation of a nomogram for prediction of radiation-induced dysphagia in 493 lung cancer patients treated with chemo-radiotherapy or radiotherapy alone

6505 ORAL Survival of non-small cell lung cancer patients treated with (chemo)radiotherapy can be predicted by a combination of total tumor volume, number of positive lymph node stations on PET, performance status, gender and radiation dose

The Limitations of Dosimetric Parameters for the Prediction of Radiation-Induced Lung Toxicity: An Approach Based on Machine Learning Techniques

Repositioning accuracy of fractionated stereotactic irradiation: assessment of isocentre alignment for different dental fixations by using sequential CT scanning

Development, External Validation and Further Improvement of a Prediction Model for Survival of Non-small Cell Lung Cancer Patients Treated with (Chemo) Radiotherapy

9058 Analysis of tumor texture on a pre-treatment CT scan predicts treatment outcome in NSCLC patients

2488

131 The influence of enema on the position variation of the prostate during the irradiation

2488: Combining Clinical Data With Medical Knowledge Improves Prediction Models for NSCLC After (Chemo) Radiotherapy

Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy: Bayesian network for survival prediction in lung cancer

Comparison of Bayesian network and support vector machine modelsfor two-year survival prediction in lung cancer patients treated with radiotherapy

The maximum uptake of super(18)F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1 alpha and GLUT-1 in non-small cell lung cancer

Improving the quality and efficiency of breast cancer follow-up: a randomised controlled trial investigating nurse-led follow-up

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data

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