Bayesian Model for Liver Tumor Enhancement

2016 ◽  
pp. 227-235 ◽  
Author(s):  
Yu Konno ◽  
Xian-Hua Han ◽  
Lanfen Lin ◽  
Hongjie Hu ◽  
Yitao Liu ◽  
...  
Keyword(s):  
Liver Tumor ◽  
Bayesian Model

Primary hepatic actinomycosis mimicking malign liver tumor

2013 ◽  
Vol 34 (S 01) ◽  
Author(s):  
K Beller ◽  
H Weiler ◽  
B Riecken ◽  
K Caca
Keyword(s):  
Liver Tumor ◽  
Hepatic Actinomycosis

Evaluating the Validity of a Bayesian Program for Predicting Stage in Hodgkin’s Disease

1981 ◽  
Vol 20 (03) ◽  
pp. 174-178 ◽  
Author(s):  
A. I. Barnett ◽  
J. Cynthia ◽  
F. Jane ◽  
Nancy Gutensohn ◽  
B. Davies
Keyword(s):  
New England ◽  
Hodgkin's Disease ◽  
Bayesian Model ◽  
Medical Center ◽  
Hodgkin’S Disease ◽  
Test Procedure ◽  
Disease Patient ◽  
Probabilistic Information ◽  
Probabilistic Forecasts ◽  
England Medical

A Bayesian model that provides probabilistic information about the spread of malignancy in a Hodgkin’s disease patient has been developed at the Tufts New England Medical Center. In assessing the model’s reliability, it seemed important to use it to make predictions about patients other than those relevant to its construction. The accuracy of these predictions could then be tested statistically. This paper describes such a test, based on 243 Hodgkin’s disease patients of known pathologic stage. The results obtained were supportive of the model, and the test procedure might interest those wishing to determine whether the imperfections that attend any attempt to make probabilistic forecasts have gravely damaged their accuracy.

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.

A 67-Year-Old Man with Hepatitis C Virus Infection and a Liver Tumor

2000 ◽  
Vol 20 (02) ◽  
pp. 227-232 ◽  
Author(s):  
Arief Suriawinata ◽  
Katya Ivanov ◽  
Menahem Ben Haim ◽  
Myron E. Schwartz
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Virus Infection ◽  
Liver Tumor ◽  
Hepatitis C Virus Infection

Clinical Application of Radiofrequency Ablation for Malignant Liver Tumor during Interruption of Hepatic Blood Flow

2000 ◽  
Vol 18 ◽  
pp. 121-125
Author(s):  
Takashi Shibata ◽  
Takahiro Niinobu ◽  
Masashi Kitada ◽  
Takashi Shimano ◽  
Motohisa Takami ◽  
...  
Keyword(s):  
Blood Flow ◽  
Radiofrequency Ablation ◽  
Clinical Application ◽  
Hepatic Blood Flow ◽  
Liver Tumor ◽  
Malignant Liver Tumor ◽  
Malignant Liver

State of the Art in Computer-Assisted Planning, Intervention, and Assessment of Liver-Tumor Ablation

2010 ◽  
Vol 38 (1) ◽  
pp. 31-52 ◽  
Author(s):  
Christian Schumann ◽  
Christian Rieder ◽  
Jennifer Bieberstein ◽  
Andreas Weihusen ◽  
Stephan Zidowitz ◽  
...  
Keyword(s):  
Liver Tumor ◽  
State Of The Art ◽  
Tumor Ablation ◽  
Computer Assisted ◽  
Planning Intervention

Dermatomyositis Associated with Malignant Liver Tumor

1978 ◽  
Vol 40 (5) ◽  
pp. 817-821 ◽  
Author(s):  
Kazuo SAITO ◽  
Seiji ARASE ◽  
Fumio SHIGEMI ◽  
Katsuyuki TAKEDA
Keyword(s):  
Liver Tumor ◽  
Malignant Liver Tumor ◽  
Malignant Liver
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