MedMining

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Type declaration dctypes:Dataset
Title MedMining
Description Made by Geisinger Health System. It is using Geisinger heath plans and facilities. Geisinger covers 44 counties and 4,187,091 patients in central and northeastern Pennsylvania. Data is in EHR. In house database. The Health System is composed of over 5 hospital campuses, 75 medical and surgical specialties, 900 physicians, 500 advanced practitioners, 72 primary andspecialty clinic sites, 39 community practice sites, over 275,000 members of the health plan(including 50,000 Medicare Advantage members), and over 37,000 contractedphysicians/facilities. Contains 14+ years of data and > 4 million patient
Publisher https://www.geisinger.org/
HTML page https://www.geisinger.org/
Update frequency Real time data/ daily update
Rights Costs are standard regardless of licensee. Licenses available per project, annually, or multi-year. Contact MedMining for further information. Please contact MedMining to discuss further. Generally, de-identified information is strictly licensed which shall mean protected health information which has been de-identified in accordance with HIPAA 45 CFR 164.514(a) and (b).
Version linking MedMining v0
Publications using this dataset https://www.ncbi.nlm.nih.gov/pubmed/?term=%22MedMining%22%5Btiab%5D
Publication number 3
Patient type Total summary about the patients such as Inpatient, outpatient, and pharmacy claims, Mecial doses, claims etc.
Geographic area central and northeastern Pennsylvania
Method entities in publications Logistic Regression, Log-rank Test, T-test, Chi-square Test, Logistic Regression Model, Bootstrap, Chi-squared Test, KaplanMeier Survival, Linear Regression, Linear Regression Model, T Test
Top methods in publications Chi-Squared Test (33.33%), Log-Rank Test (33.33%), T-Test (33.33%), Logistic Regression (16.67%), Bootstrap (16.67%), Linear Regression (16.67%), Kaplan-Meier Survival Estimates (16.67%)
Availability Proprietary
Publication-based Popularity Index 0.4
Facts about "MedMining"
AvailabilityProprietary +
Cito:citesAsDataSourcehttps://www.ncbi.nlm.nih.gov/pubmed/?term="MedMining"[tiab] +
Dct:accrualPeriodicityReal time data/ daily update +
Dct:descriptionMade by Geisinger Health System. It is us
Made by Geisinger Health System. It is using Geisinger heath plans and facilities. Geisinger covers 44 counties and 4,187,091 patients in central and northeastern Pennsylvania. Data is in EHR. In house database. The Health System is composed of over 5 hospital campuses, 75 medical and surgical specialties, 900 physicians, 500 advanced practitioners, 72 primary andspecialty clinic sites, 39 community practice sites, over 275,000 members of the health plan(including 50,000 Medicare Advantage members), and over 37,000 contractedphysicians/facilities. Contains 14+ years of data and > 4 million patient
+ years of data and > 4 million patient +
Dct:publisherhttps://www.geisinger.org/ +
Dct:rightsCosts are standard regardless of licensee.
Costs are standard regardless of licensee. Licenses available per project, annually, or multi-year. Contact MedMining for further information. Please contact MedMining to discuss further. Generally, de-identified information is strictly licensed which shall mean protected health information which has been de-identified in accordance with HIPAA 45 CFR 164.514(a) and (b).
ance with HIPAA 45 CFR 164.514(a) and (b). +
Dct:titleMedMining +
Foaf:pagehttps://www.geisinger.org/ +
Geographic areacentral and northeastern Pennsylvania +
Methods in publicationsLogistic Regression +, Log-rank Test +, T-test +, Chi-square Test +, Logistic Regression Model +, Bootstrap +, Chi-squared Test +, KaplanMeier Survival +, Linear Regression +, Linear Regression Model + and T Test +
PPI0.4 +
Patient typeTotal summary about the patients such as Inpatient +, outpatient +, and pharmacy claims +, Mecial doses + and claims etc. +
Pav:hasCurrentVersionMedMining v0 +
Publication number3 +
Rdf:typedctypes:Dataset +
Top methods in publicationsChi-Squared Test (33.33%), Log-Rank Test (33.33%), T-Test (33.33%), Logistic Regression (16.67%), Bootstrap (16.67%), Linear Regression (16.67%), Kaplan-Meier Survival Estimates (16.67%) +