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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 ...
NIH Open Access Datasets: The National Institutes of Health provide open-access data and computational resources related to COVID-19. [16] COVID-19 Open Research Dataset (CORD-19): The Semantic Scholar project of the Allen Institute for AI hosts CORD-19, a public dataset of academic articles about COVID-19 and related research. [17]
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 ...
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.
Award-winning free collaboratory with over 1000 neuroinformatics software tools, imaging datasets, and community resources including forums and events. Human, mouse, rat, other Microscopic, macroscopic Datasets Healthy and diseased: No Open Access Series of Imaging Studies (OASIS) Structural MRI images Human Macroscopic MRI datasets
In health informatics, a national minimum dataset is a database of health encounters held by a central repository. "Minimum" implies that the data fields will be only those required to aggregate information for the purposes of administering the health system in the particular country and for reporting information required as a member country of WHO.
Health data are classified as either structured or unstructured. Structured health data is standardized and easily transferable between health information systems. [4] For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format.
MONAI Label is a versatile tool that enhances the image labeling and learning process by incorporating AI assistance. It simplifies the task of annotating new datasets by leveraging AI algorithms and user interactions. Through this collaboration, MONAI Label trains an AI model for a specific task and continually improves its performance as it ...