Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology.
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Mining electronic health records: towards better research applications and clinical careEpidemiology of lung cancer and approaches for its prediction: a systematic review and analysis.A Prognosis Tool Based on Fuzzy Anthropometric and Questionnaire Data for Obstructive Sleep Apnea Severity.Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models.Pretransplant prediction of posttransplant survival for liver recipients with benign end-stage liver diseases: a nonlinear model.Applying data mining techniques to improve diagnosis in neonatal jaundice.Serum peptide pattern that differentially diagnoses hepatitis B virus-related hepatocellular carcinoma from liver cirrhosis.Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithmsA Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression.Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression.Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.Impact of congenital heart disease on outcomes of pediatric heart-lung transplantation.Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables
P2860
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P2860
Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Predicting the graft survival ...... rated data mining methodology.
@ast
Predicting the graft survival ...... rated data mining methodology.
@en
type
label
Predicting the graft survival ...... rated data mining methodology.
@ast
Predicting the graft survival ...... rated data mining methodology.
@en
prefLabel
Predicting the graft survival ...... rated data mining methodology.
@ast
Predicting the graft survival ...... rated data mining methodology.
@en
P1476
Predicting the graft survival ...... rated data mining methodology.
@en
P2093
Asil Oztekin
Zhenyu James Kong
P304
P356
10.1016/J.IJMEDINF.2009.04.007
P50
P577
2009-06-03T00:00:00Z