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MIMIC
Availability Publicly available  +
Blog Survival Analysis of MIMIC-II ICU patients using Time-Sclicing Cox Regression Method +
Cito:citesAsAuthority http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124312/  + , http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-13-9  + , https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878278/  +
Cito:citesAsDataSource https://mimic.physionet.org/about/publications/  + , https://www.ncbi.nlm.nih.gov/pubmed/?term=("Medical+Information+Mart"[tiab]+AND+"Intensive+Care"[tiab])+OR+("Multiparameter+Intelligent+Monitoring"[tiab]+AND+"Intensive+Care"[tiab])+OR+-2  +
Dcat:keyword ICU patient  +
Dct:alternative MIMIC  + , Multiparameter Intelligent Monitoring in Intensive Care  +
Dct:description MIMIC is an openly available dataset devel
MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with >40,000 critical care patients. It includes demographics, vital signs, laboratory tests, medications, and more.
, laboratory tests, medications, and more.  +
Dct:license http://www.gnu.org/licenses/gpl-2.0-standalone.html  +
Dct:publisher https://www.physionet.org/  +
Dct:references https://mimic.physionet.org/about/mimic/  +
Dct:rights MIMIC is made available largely through th
MIMIC is made available largely through the work of researchers at the MIT Laboratory for Computational Physiology and collaborating research groups. If you use our data, code or algorithms, please provide a citation to this project. Citation formats can be found on https://mimic.physionet.org/about/acknowledgments/.
imic.physionet.org/about/acknowledgments/.  +
Dct:title Medical Information Mart for Intensive Care  +
Foaf:page https://mimic.physionet.org/  +
Geographic area Boston, MA  +
Idot:preferredPrefix MIMIC  +
Methods in publications ANOVA  + , Bagging  + , Boosting  + , Bootstrap  + , CART Algorithm  + , CHAID  + , Classification And Regression Tree  + , Classification Based On Association  + , Decision Stump  + , EM Algorithm  + , Genetic Algorithm  + , Gini Index  + , Information Gain  + , Linear Discriminant Analysis  + , Logistic Regression  + , Naive Bayes  + , Pearson Correlation Coefficient  + , Perceptron  + , Principal Component Analysis  + , RIPPER  + , Recurrent Neural Network  + , Regression Model  + , ReliefF  + , SVAR Model  + , Support Vector Machine  + , Survival Analysis  + , Wilcoxon  + , Association Rule Mining  + , Backward Stepwise Logistic Regression  + , Ensemble Learning  + , Gibbs Sampling Algorithm  + , Kaplan-Meier Survival Analysis  + , Kolmogorov-Smirnov  + , Kruskal-Wallis  + , Lasso Logistic Regression  + , Linear Regression  + , Majority Sense Baseline Classifier  + , Mann-Whitney U Test  + , McNemar's Test  + , Multiscale Entropy  + , Propensity Score Matching  + , Reclassification Analysis  + , Shapiro-Wilks Statistic  + , Simple Linear Regression  + , Stepwise Logistic Regression  + , TREWScore  + , Wald Test  + , Cox Regression  + , Feature Extraction Algorithm  + , Backwardstepwise Logistic Regression  + , Linear Regression Model  + , K-nearest Neighbour  + , Repeated Incremental Pruning To Produce Error Reduction  + , Dimensionality Reduction Algorithm  + , Expectation Maximization Algorithm  + , Expectation Maximization  + , K-nearest Neighbor  + , Nearest Neighbor  + , K-NN  + , McNemars Test  + , KolmogorovSmirnov  + , T Test  + , Analysis Of Variance  + , Logistic Regression Model  + , Chisquared  + , Chi-square  + , Mann-Whitney U-test  + , Log-rank Test  + , Kaplan-Meier Survival  + , Propensity Score Analysis  + , Ensemble Method  + , Wilcoxon Rank Sum Test  + , Chi-square Test  + , K-means  + , Feature Selection Method  + , Cox Proportional Hazards  + , TTEST  + , KaplanMeier Survival  + , Random Forests  + , T-test  + , MannWhitney  + , Mann Whitney  + , Fishers Exact Test  + , Wilcoxon Rank-sum Test  + , Chi-squared Test  + , Levenes Test  + , Long Rank Test  + , Cox Proportional Hazards Survival Regression  + , Chi Square Test  + , Hazard Model  + , Generative Model  + , Ks Test  + , Apriori  + , Time Series Based  + , Classification Model  + , Instance-based Learning Algorithm  + , Learn To Rank  + , Learn-to-rank  + , Paired Ttest  + , Learning To Rank  + , MannWhitney U Test  + , Kaplan Meier Survival Curve  + , Wilcoxon RankSum Test  + , McNemar Test  + , Fisher Exact Test  + , Wilcoxon Signed Rank Test  + , Deep Learning  + , Bootstrap Aggregating  + , Wrapper Feature Selection  + , Filter Feature Selection  + , Info Gain  + , Cox Model  + , Feature Extraction Method  + , Proportional Hazards  + , KNN  + , Neural Network Model  + , Information Gain Ratio  + , Kmeans  + , Poisson Regression  + , Logrank Test  + , Conditional Random Field  + , Decision Tree Model  + , Discriminative Model  + , Missing Value Imputation Method  + , Clustering Model  + , VAR Model  + , Targeted Real-time Early Warning Score  + , KaplanMeier Survival Curve  + , Multivariable Cox Proportional Hazards  + , Kaplan-Meier Survival Curve  + , T -test  + , Mann-Whitney  + , Chisquare Test  + , Kruskal-Wallis Test  + , Kruskal Wallis Test  + , Chi-squared  + , Modeling Algorithm  +
PPI 30.4  +
Patient type ICU patients  +
Pav:hasCurrentVersion MIMIC-III v1.4 +
Publication number 184  +
Rdf:type dctypes:Dataset  +
Schemaorg:logo https://mimic.physionet.org/img/logo.png  +
Top methods in publications Logistic Regression (45.39%), Chi-Squared
Logistic Regression (45.39%), Chi-Squared Test (20.39%), T-Test (17.76%), Mann-Whitney U Test (15.79%), Regression Model (14.47%), Support Vector Machine (14.47%), Linear Regression (11.84%), Cox Regression (11.18%), Kolmogorov-Smirnov Test (9.87%), K-Nearest Neighbors (9.21%)
Test (9.87%), K-Nearest Neighbors (9.21%)  +
Has query
"Has query" is a predefined property that represents meta information (in form of a subobject) about individual queries.
MIMIC + , MIMIC +
Categories Summary Level
Modification date
This property is a special property in this wiki.
3 April 2018 14:13:55  +
hide properties that link here 
MIMIC-II v2.6 + , MIMIC-III v1.3 + , MIMIC-III v1.4 + Dct:isVersionOf
Survival Analysis of MIMIC-II ICU patients using Time-Sclicing Cox Regression Method + For Dataset
 

 

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