Determining of prognostic factors in gastric cancer patients using artificial neural networks.
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Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models.An ANN model for treatment prediction in HBV patientsHigh mobility group-box 3 overexpression is associated with poor prognosis of resected gastric adenocarcinoma.B7-H3 protein expression in a murine model of osteosarcoma.Comparison between artificial neural network and Cox regression model in predicting the survival rate of gastric cancer patients.
P2860
Determining of prognostic factors in gastric cancer patients using artificial neural networks.
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2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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name
Determining of prognostic fact ...... ng artificial neural networks.
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Determining of prognostic fact ...... ng artificial neural networks.
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type
label
Determining of prognostic fact ...... ng artificial neural networks.
@en
Determining of prognostic fact ...... ng artificial neural networks.
@nl
prefLabel
Determining of prognostic fact ...... ng artificial neural networks.
@en
Determining of prognostic fact ...... ng artificial neural networks.
@nl
P2093
P1476
Determining of prognostic fact ...... ing artificial neural networks
@en
P2093
Akbar Biglarian
Anoshirvan Kazemnejad
Ebrahim Hajizadeh
Farid Zayeri
P304
P577
2010-01-01T00:00:00Z