MIMIC

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Type declaration dctypes:Dataset
Title Medical Information Mart for Intensive Care
Description 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.
Publisher PhysioNet
HTML page https://mimic.physionet.org/
Logo https://mimic.physionet.org/img/logo.png
Alternative titles MIMIC, Multiparameter Intelligent Monitoring in Intensive Care
Keywords ICU patient
License GNU General Public License v2.0
Rights 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/.
References https://mimic.physionet.org/about/mimic/
Citations Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): A public-access intensive care unit database, Accessing the public MIMIC-II intensive care relational database for clinical research, MIMIC-III: a freely accessible critical care database
Preferred prefix MIMIC
Version linking MIMIC-III v1.4
Publications using this dataset https://mimic.physionet.org/about/publications/, https://www.ncbi.nlm.nih.gov/pubmed/?term=(%22Medical+Information+Mart%22%5Btiab%5D+AND+%22Intensive+Care%22%5Btiab%5D)+OR+(%22Multiparameter+Intelligent+Monitoring%22%5Btiab%5D+AND+%22Intensive+Care%22%5Btiab%5D)+OR+%22MIMIC-II%22%5Btiab%5D+OR+%22MIMIC-III%22%5Btiab%5D
Publication number 184
Patient type ICU patients
Geographic area Boston, MA
Blog Survival Analysis of MIMIC-II ICU patients using Time-Sclicing Cox Regression Method
Method entities in publications Support Vector Machine, Feature Extraction Algorithm, Principal Component Analysis, Logistic Regression, Backward Stepwise Logistic Regression, Backwardstepwise Logistic Regression, Linear Regression, Linear Regression Model, K-nearest Neighbour, RIPPER, Repeated Incremental Pruning To Produce Error Reduction, Survival Analysis, Dimensionality Reduction Algorithm, Pearson Correlation Coefficient, Expectation Maximization Algorithm, Expectation Maximization, EM Algorithm, K-nearest Neighbor, Nearest Neighbor, K-NN, Boosting, McNemars Test, McNemar's Test, Kolmogorov-Smirnov, KolmogorovSmirnov, T Test, Analysis Of Variance, Logistic Regression Model, Chisquared, Chi-square, Kruskal-Wallis, Mann-Whitney U-test, Log-rank Test, Kaplan-Meier Survival, Regression Model, Propensity Score Analysis, Ensemble Method, Gibbs Sampling Algorithm, Wilcoxon Rank Sum Test, Chi-square Test, Mann-Whitney U Test, K-means, Information Gain, Feature Selection Method, Reclassification Analysis, Genetic Algorithm, Wilcoxon, Cox Proportional Hazards, ANOVA, TTEST, KaplanMeier Survival, Random Forests, Perceptron, T-test, MannWhitney, Mann Whitney, Simple Linear Regression, Bootstrap, Fishers Exact Test, Wilcoxon Rank-sum Test, Naive Bayes, Chi-squared Test, Ensemble Learning, Shapiro-Wilks Statistic, Levenes Test, Long Rank Test, Cox Proportional Hazards Survival Regression, Cox Regression, Chi Square Test, Multiscale Entropy, Hazard Model, Wald Test, Generative Model, Propensity Score Matching, Ks Test, Apriori, Classification And Regression Tree, Kaplan-Meier Survival Analysis, SVAR Model, Time Series Based, Classification Model, Linear Discriminant Analysis, Instance-based Learning Algorithm, Recurrent Neural Network, Learn To Rank, Learn-to-rank, Paired Ttest, Learning To Rank, MannWhitney U Test, CART Algorithm, Gini Index, Kaplan Meier Survival Curve, Wilcoxon RankSum Test, McNemar Test, Fisher Exact Test, Wilcoxon Signed Rank Test, Decision Stump, Bagging, ReliefF, Deep Learning, Bootstrap Aggregating, CHAID, Wrapper Feature Selection, Filter Feature Selection, Info Gain, Cox Model, Feature Extraction Method, Proportional Hazards, Stepwise Logistic Regression, KNN, Neural Network Model, Information Gain Ratio, Kmeans, Poisson Regression, Association Rule Mining, Lasso Logistic Regression, Logrank Test, Conditional Random Field, Majority Sense Baseline Classifier, Classification Based On Association, Decision Tree Model, Discriminative Model, Missing Value Imputation Method, Clustering Model, VAR Model, Targeted Real-time Early Warning Score, TREWScore, 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
Top methods in publications 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%)
Availability Publicly available
Publication-based Popularity Index 30.4

*The percentage here shows the proportion of publications that utilized the corresponding method.

Facts about "MIMIC"
AvailabilityPublicly available +
BlogSurvival Analysis of MIMIC-II ICU patients using Time-Sclicing Cox Regression Method +
Cito:citesAsAuthorityhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124312/ +, http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-13-9 + and https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878278/ +
Cito:citesAsDataSourcehttps://mimic.physionet.org/about/publications/ + and 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+"MIMIC-II"[tiab]+OR+"MIMIC-III"[tiab]] +
Dcat:keywordICU patient +
Dct:alternativeMIMIC + and Multiparameter Intelligent Monitoring in Intensive Care +
Dct:descriptionMIMIC 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:licensehttp://www.gnu.org/licenses/gpl-2.0-standalone.html +
Dct:publisherhttps://www.physionet.org/ +
Dct:referenceshttps://mimic.physionet.org/about/mimic/ +
Dct:rightsMIMIC 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:titleMedical Information Mart for Intensive Care +
Foaf:pagehttps://mimic.physionet.org/ +
Geographic areaBoston, MA +
Idot:preferredPrefixMIMIC +
Methods in publicationsSupport Vector Machine +, Feature Extraction Algorithm +, Principal Component Analysis +, Logistic Regression +, Backward Stepwise Logistic Regression +, Backwardstepwise Logistic Regression +, Linear Regression +, Linear Regression Model +, K-nearest Neighbour +, RIPPER +, Repeated Incremental Pruning To Produce Error Reduction +, Survival Analysis +, Dimensionality Reduction Algorithm +, Pearson Correlation Coefficient +, Expectation Maximization Algorithm +, Expectation Maximization +, EM Algorithm +, K-nearest Neighbor +, Nearest Neighbor +, K-NN +, Boosting +, McNemars Test +, McNemar's Test +, Kolmogorov-Smirnov +, KolmogorovSmirnov +, T Test +, Analysis Of Variance +, Logistic Regression Model +, Chisquared +, Chi-square +, Kruskal-Wallis +, Mann-Whitney U-test +, Log-rank Test +, Kaplan-Meier Survival +, Regression Model +, Propensity Score Analysis +, Ensemble Method +, Gibbs Sampling Algorithm +, Wilcoxon Rank Sum Test +, Chi-square Test +, Mann-Whitney U Test +, K-means +, Information Gain +, Feature Selection Method +, Reclassification Analysis +, Genetic Algorithm +, Wilcoxon +, Cox Proportional Hazards +, ANOVA +, TTEST +, KaplanMeier Survival +, Random Forests +, Perceptron +, T-test +, MannWhitney +, Mann Whitney +, Simple Linear Regression +, Bootstrap +, Fishers Exact Test +, Wilcoxon Rank-sum Test +, Naive Bayes +, Chi-squared Test +, Ensemble Learning +, Shapiro-Wilks Statistic +, Levenes Test +, Long Rank Test +, Cox Proportional Hazards Survival Regression +, Cox Regression +, Chi Square Test +, Multiscale Entropy +, Hazard Model +, Wald Test +, Generative Model +, Propensity Score Matching +, Ks Test +, Apriori +, Classification And Regression Tree +, Kaplan-Meier Survival Analysis +, SVAR Model +, Time Series Based +, Classification Model +, Linear Discriminant Analysis +, Instance-based Learning Algorithm +, Recurrent Neural Network +, Learn To Rank +, Learn-to-rank +, Paired Ttest +, Learning To Rank +, MannWhitney U Test +, CART Algorithm +, Gini Index +, Kaplan Meier Survival Curve +, Wilcoxon RankSum Test +, McNemar Test +, Fisher Exact Test +, Wilcoxon Signed Rank Test +, Decision Stump +, Bagging +, ReliefF +, Deep Learning +, Bootstrap Aggregating +, CHAID +, Wrapper Feature Selection +, Filter Feature Selection +, Info Gain +, Cox Model +, Feature Extraction Method +, Proportional Hazards +, Stepwise Logistic Regression +, KNN +, Neural Network Model +, Information Gain Ratio +, Kmeans +, Poisson Regression +, Association Rule Mining +, Lasso Logistic Regression +, Logrank Test +, Conditional Random Field +, Majority Sense Baseline Classifier +, Classification Based On Association +, Decision Tree Model +, Discriminative Model +, Missing Value Imputation Method +, Clustering Model +, VAR Model +, Targeted Real-time Early Warning Score +, TREWScore +, 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 + and Modeling Algorithm +
PPI30.4 +
Patient typeICU patients +
Pav:hasCurrentVersionMIMIC-III v1.4 +
Publication number184 +
Rdf:typedctypes:Dataset +
Schemaorg:logohttps://mimic.physionet.org/img/logo.png +
Top methods in publicationsLogistic 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%) +