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HCA Healthcare, Inc. is an American for-profit operator of health care facilities that was founded in 1968. It is based in Nashville, Tennessee, and, as of May 2020, owned and operated 186 hospitals and approximately 2,400 sites of care, including surgery centers, freestanding emergency rooms, urgent care centers and physician clinics in 20 states and the United Kingdom. [6]
New Milestone Achieved: Three Million Subscribers Implemented on the HealthStream Learning Center™ NASHVILLE, Tenn.--(BUSINESS WIRE)-- HealthStream (NAS: HSTM) , a leading provider of learning ...
Machine learningand data mining. In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories:
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical ...
Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of several (greater than or equal to two) classes. In the multi-label problem the labels are nonexclusive and there is no constraint on how many of the classes the instance can be assigned to.
Cluster analysis, a fundamental task in data mining and machine learning, involves grouping a set of data points into clusters based on their similarity. k -means clustering is a popular algorithm used for partitioning data into k clusters, where each cluster is represented by its centroid.
Situated learning is a theory that explains an individual's acquisition of professional skills and includes research on apprenticeship into how legitimate peripheral participation leads to membership in a community of practice. [1] Situated learning "takes as its focus the relationship between learning and the social situation in which it occurs".
Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...