Application of artificial neural network-based survival analysis on two breast cancer datasets.
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Complementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and ChallengesImproving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models.A neural network approach to multi-biomarker panel discovery by high-throughput plasma proteomics profiling of breast cancerFive Years Survival of Patients After Liver Transplantation and Its Effective Factors by Neural Network and Cox Poroportional Hazard Regression Models.Application of artificial neural network in predicting the survival rate of gastric cancer patientsComplete hazard ranking to analyze right-censored data: An ALS survival study.Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis.
P2860
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P2860
Application of artificial neural network-based survival analysis on two breast cancer datasets.
description
2007 nî lūn-bûn
@nan
2007 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Application of artificial neur ...... on two breast cancer datasets.
@ast
Application of artificial neur ...... on two breast cancer datasets.
@en
type
label
Application of artificial neur ...... on two breast cancer datasets.
@ast
Application of artificial neur ...... on two breast cancer datasets.
@en
prefLabel
Application of artificial neur ...... on two breast cancer datasets.
@ast
Application of artificial neur ...... on two breast cancer datasets.
@en
P2093
P2860
P1476
Application of artificial neur ...... on two breast cancer datasets
@en
P2093
Chih-Lin Chi
W Nick Street
William H Wolberg
P2860
P304
P577
2007-10-11T00:00:00Z