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The materials in the Data Science and Predictive Analytics (DSPA) textbook have been peer-reviewed in the Journal of the American Statistical Association, [5] International Statistical Institute’s ISI Review Journal, [3] and the Journal of the American Library Association. [4] Many scholarly publications reference the DSPA textbook. [6] [7]
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
Health data can be used to benefit individuals, public health, and medical research and development. [14] The uses of health data are classified as either primary or secondary. Primary use is when health data is used to deliver health care to the individual from whom it was collected. [15]
The papers introducing the ranking have been quoted extensively by authors working in Bibliometrics and Scientometrics.For example, reference [3] describing an update to the methodology of this index number is cited [12] from authors publishing in journals such as SAGE's Research on Social Work Practice, [10] Elsevier's Perspectives in Ecology and Conservation, [13] Springer's Forensic Science ...
[6] Davenport became Director of research at Index, studying business process improvement. [7] Part of this research was a multiclient research program that Index and Hammer operated across an industry research consortium called PRISM – Partnership for Research in Information Systems Management. Davenport was the program director.
Analysis: the process of translating data into information utilized for an application. Each aspect is analyzed with 10 different data characteristics: Accuracy: Data are the correct values and are valid. Accessibility: Data items should be easily obtainable and legal to collect. Comprehensiveness: All required data items are included. Ensure ...
Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...
This is a list of important publications in data science, generally organized by order of use in a data analysis workflow.. Whole game of data science. See the list of important publications in statistics for more research-based and fundamental publications; while this list is more applied, business oriented, and cross-disciplinary.