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The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Participants in the assessment process are health care professionals and direct care staff such as registered nurses, licensed practical or vocational nurses (LPN/LVN), Therapists, Social Services, Activities and Dietary staff employed by the nursing home. MDS information is transmitted electronically by nursing homes to the MDS database in ...
Researchers and policymakers can use the records to identify, track, and analyze national trends in healthcare use, access, charges, quality, and outcomes. HCUP databases are released approximately 6 to 18 months after the end of a given calendar year, with State databases available earlier than the national or nationwide datasets.
The Nursing Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant to provide an accurate description of the nursing process used when providing nursing care. The NMDS allow for the analysis and comparison of nursing data across populations ...
The Healthcare Effectiveness Data and Information Set (HEDIS) is a widely used set of performance measures in the managed care industry, developed and maintained by the National Committee for Quality Assurance (NCQA). HEDIS was designed to allow consumers to compare health plan performance to other plans and to national or regional benchmarks.
Such applications outside the healthcare system raise various professional, ethical and regulatory questions. [106] Another issue is often with the validity and interpretability of the models. Small training datasets contain bias that is inherited by the models, and compromises the generalizability and stability of these models.
A plurality of health data are collected and used when individuals interact with health care systems. This data, collected by health care providers, typically includes a record of services received, conditions of those services, and clinical outcomes or information concerning those services. [2]