HCUP
From DIR
Type declaration | dctypes:Dataset |
---|---|
Title | Health Care and Cost Utilization Project |
Description | The Healthcare Cost and Utilization Project (HCUP) includes the largest collection of longitudinal hospital care data in the United States. HCUP products including State and nationwide databases, software and online tools, and reports. |
Publisher | http://www.ahrq.gov/ |
HTML page | https://www.hcup-us.ahrq.gov/ |
Update frequency | http://purl.org/cld/freq/annual |
Alternative titles | HCUP, H-CUP |
Keywords | hcup, healthcare cost and utilization project, health, healthcare, health statistics, data analysis, analysis, data collection, data processing, databases, research |
Rights | All purchasers and users of HCUP data must complete the HCUP Data Use Agreement (DUA) Training Course and sign an HCUP DUA before receipt of the data. |
References | https://www.hcup-us.ahrq.gov/news/exhibit_booth/HCUPFactSheet.pdf |
Citations | https://www.hcup-us.ahrq.gov/reports/spotlights.jsp |
Partitions | KID, NEDS, NIS, NRD, SASD, SEDD, SID |
Version linking | HCUP v0 |
Publications using this dataset | https://www.hcup-us.ahrq.gov/reports/spotlights.jsp, https://www.ncbi.nlm.nih.gov/pubmed/?term=%22HCUP%22%5Btiab%5D+OR+%22Healthcare+Cost+Utilization+Project%22%5Btiab%5D |
Publication number | 620 |
Patient type | US patient |
Geographic area | USA |
Blog | Descriptive Stats, Introduction to Logistic Regression, R, a powerful tool |
Method entities in publications | Logistic Regression, Chi-square Test, F-Ratio, Regression Model, Linear Regression, Chi-square, Poisson Regression, Chi Square, Apriori, ANOVA, T-test, Wilcoxon Rank-sum Test, Chi-squared Test, Linear And Logistic Regression, Chi-squared, Analysis Of Variance, F-test, Logistic Regression Model, Chi2, Wilcoxon, PEARSON CORRELATION COEFFICIENT, T Test, Linear Regression Model, Association Rule Mining, EM Algorithm, Bootstrap, Survival Analysis, Proportional Hazards, Hazard Model, Part Model, Shapiro Wilk Test, Propensity Score Matching, Chi Square Test, PART METHOD, Fisher's Exact Test, Kruskal-Wallis Test, Principal Component Analysis, Mann-Whitney U Test, Chisquare, Cochran-Armitage Trend Test, Cox Proportional Hazards, Cox Regression, Simple Linear Regression, Group Average, Stepwise Logistic Regression, Decision Tree Model, Inverse Probability Weighting, Fisher Exact Test, Wilcoxon Sign Rank Test, Ensemble Learning, Support Vector Machine, Bagging, Boosting, Perceptron, Classification Model, Gini Index, Random Forests, Kaplan-Meier Survival, Propensity Score Analysis, Pearson R, Proportional Hazards Regression, Wald Test, Mann-Whitney, Fishers Exact Test, Wilcoxon Rank Sum Test, Kaplan-Meier Survival Analysis, Levenes Test, Chisquared, KruskalWallis Test, CochranArmitage Trend Test, Chi Squared, Shapiro-Wilk Test, Nearest Neighbor, Wilcoxon Signed-rank Test, Kolmogorov-Smirnov, Paired T-test, Chi Squared Test, Log-rank Test, Cox Model, Ftest, Kruskal-Wallis, Pearsons R, Mann-Whitney U-test, F Test, CochranArmitage Test, Cochrane-Armitage Test, MannWhitney, Chisquare Test, MannWhitneyWilcoxon, Cochran-Armitage Test, Wilcoxon Signed Rank Test, KruskalWallis, Cochran Armitage Test, McNemar's Test, Cochran Armitage Test For Trend, Pearsons Rho, Deep Learning, McNemars Test, K-nearest Neighbor, K-NN, Neural Network Algorithm, Chisquared Test, Cochran-Armitage Test For Trend, Kruskal Wallis, Lasso Logistic Regression, Cochrane Armitage Test, Feature Selection Method, Paired T Test, Ttest, Multivariable Cox Proportional Hazards, KaplanMeier Survival, Kruskal Wallis Test, Log Rank Test, Neural Network Model, Wilcoxon-Mann-Whitney Test, CHAID, Linear Discriminant Analysis, Genetic Algorithm, K-means, Naive Bayes, CART Algorithm, CART Method, Feature Selection Algorithm, Wilcoxon Ranksum Test, Minimum Variance, Chi- Squared, Mann Whitney U Test, McNemar Test, Levene Test, KaplanMeier Survival Analysis, Mann Whitney, Information Gain, T -test, Kolmogorov Smirnov, Multivariable Analysis, Propensity-Matched Analysis, Ordinary-Least-Squares Regression, Multivariable Logistic Regression, Chi-Squared Test, Multivariable Regression, Student-Newman-Keuls Test, T-Test |
Top methods in publications | Logistic Regression (57.91%), Chi-Squared Test (48.44%), Linear Regression (20.24%), T-Test (18.03%), Regression Model (15.61%), ANOVA (9.87%), Poisson Regression (9.06%), Cox Regression (7.45%), Mann-Whitney U Test (7.35%), Bootstrap (4.23%) |
Availability | Proprietary |
Publication-based Popularity Index | 52.1 |
*The percentage here shows the proportion of publications that utilized the corresponding method.
Facts about "HCUP"
Availability | Proprietary + |
Blog | Descriptive Stats +, Introduction to Logistic Regression + and R, a powerful tool + |
Cito:citesAsAuthority | https://www.hcup-us.ahrq.gov/reports/spotlights.jsp + |
Cito:citesAsDataSource | https://www.hcup-us.ahrq.gov/reports/spotlights.jsp + and https://www.ncbi.nlm.nih.gov/pubmed/?term="HCUP"[tiab+OR+"Healthcare+Cost+Utilization+Project"[tiab]] + |
Dcat:keyword | hcup +, healthcare cost and utilization project +, health +, healthcare +, health statistics +, data analysis +, analysis +, data collection +, data processing +, databases + and research + |
Dct:accrualPeriodicity | http://purl.org/cld/freq/annual + |
Dct:alternative | HCUP + and H-CUP + |
Dct:description | The Healthcare Cost and Utilization Project (HCUP) includes the largest collection of longitudinal hospital care data in the United States. HCUP products including State and nationwide databases, software and online tools, and reports. + |
Dct:hasPart | KID +, NEDS +, NIS +, NRD +, SASD +, SEDD + and SID + |
Dct:publisher | http://www.ahrq.gov/ + |
Dct:references | https://www.hcup-us.ahrq.gov/news/exhibit_booth/HCUPFactSheet.pdf + |
Dct:rights | All purchasers and users of HCUP data must complete the HCUP Data Use Agreement (DUA) Training Course and sign an HCUP DUA before receipt of the data. + |
Dct:title | Health Care and Cost Utilization Project + |
Foaf:page | https://www.hcup-us.ahrq.gov/ + |
Geographic area | USA + |
Methods in publications | Logistic Regression +, Chi-square Test +, F-Ratio +, Regression Model +, Linear Regression +, Chi-square +, Poisson Regression +, Chi Square +, Apriori +, ANOVA +, T-test +, Wilcoxon Rank-sum Test +, Chi-squared Test +, Linear And Logistic Regression +, Chi-squared +, Analysis Of Variance +, F-test +, Logistic Regression Model +, Chi2 +, Wilcoxon +, PEARSON CORRELATION COEFFICIENT +, T Test +, Linear Regression Model +, Association Rule Mining +, EM Algorithm +, Bootstrap +, Survival Analysis +, Proportional Hazards +, Hazard Model +, Part Model +, Shapiro Wilk Test +, Propensity Score Matching +, Chi Square Test +, PART METHOD +, Fisher's Exact Test +, Kruskal-Wallis Test +, Principal Component Analysis +, Mann-Whitney U Test +, Chisquare +, Cochran-Armitage Trend Test +, Cox Proportional Hazards +, Cox Regression +, Simple Linear Regression +, Group Average +, Stepwise Logistic Regression +, Decision Tree Model +, Inverse Probability Weighting +, Fisher Exact Test +, Wilcoxon Sign Rank Test +, Ensemble Learning +, Support Vector Machine +, Bagging +, Boosting +, Perceptron +, Classification Model +, Gini Index +, Random Forests +, Kaplan-Meier Survival +, Propensity Score Analysis +, Pearson R +, Proportional Hazards Regression +, Wald Test +, Mann-Whitney +, Fishers Exact Test +, Wilcoxon Rank Sum Test +, Kaplan-Meier Survival Analysis +, Levenes Test +, Chisquared +, KruskalWallis Test +, CochranArmitage Trend Test +, Chi Squared +, Shapiro-Wilk Test +, Nearest Neighbor +, Wilcoxon Signed-rank Test +, Kolmogorov-Smirnov +, Paired T-test +, Chi Squared Test +, Log-rank Test +, Cox Model +, Ftest +, Kruskal-Wallis +, Pearsons R +, Mann-Whitney U-test +, F Test +, CochranArmitage Test +, Cochrane-Armitage Test +, MannWhitney +, Chisquare Test +, MannWhitneyWilcoxon +, Cochran-Armitage Test +, Wilcoxon Signed Rank Test +, KruskalWallis +, Cochran Armitage Test +, McNemar's Test +, Cochran Armitage Test For Trend +, Pearsons Rho +, Deep Learning +, McNemars Test +, K-nearest Neighbor +, K-NN +, Neural Network Algorithm +, Chisquared Test +, Cochran-Armitage Test For Trend +, Kruskal Wallis +, Lasso Logistic Regression +, Cochrane Armitage Test +, Feature Selection Method +, Paired T Test +, Ttest +, Multivariable Cox Proportional Hazards +, KaplanMeier Survival +, Kruskal Wallis Test +, Log Rank Test +, Neural Network Model +, Wilcoxon-Mann-Whitney Test +, CHAID +, Linear Discriminant Analysis +, Genetic Algorithm +, K-means +, Naive Bayes +, CART Algorithm +, CART Method +, Feature Selection Algorithm +, Wilcoxon Ranksum Test +, Minimum Variance +, Chi- Squared +, Mann Whitney U Test +, McNemar Test +, Levene Test +, KaplanMeier Survival Analysis +, Mann Whitney +, Information Gain +, T -test +, Kolmogorov Smirnov +, Multivariable Analysis +, Propensity-Matched Analysis +, Ordinary-Least-Squares Regression +, Multivariable Logistic Regression +, Chi-Squared Test +, Multivariable Regression +, Student-Newman-Keuls Test + and T-Test + |
PPI | 52.1 + |
Patient type | US patient + |
Pav:hasCurrentVersion | HCUP v0 + |
Publication number | 620 + |
Rdf:type | dctypes:Dataset + |
Top methods in publications | Logistic Regression (57.91%), Chi-Squared Test (48.44%), Linear Regression (20.24%), T-Test (18.03%), Regression Model (15.61%), ANOVA (9.87%), Poisson Regression (9.06%), Cox Regression (7.45%), Mann-Whitney U Test (7.35%), Bootstrap (4.23%) + |