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In probability theory, the sample space (also called sample description space, [1] possibility space, [2] or outcome space [3]) of an experiment or random trial is the set of all possible outcomes or results of that experiment. [4] A sample space is usually denoted using set notation, and the possible ordered outcomes, or sample points, [5] are ...
MeSH. D000067716. Point-of-care testing ( POCT ), also called near-patient testing or bedside testing, is defined as medical diagnostic testing at or near the point of care —that is, at the time and place of patient care. [1] [2] This contrasts with the historical pattern in which testing was wholly or mostly confined to the medical ...
An analyte is a substance, chemical or biological, that is being analyzed using a certain instrument. While point-of-care testing is the quantification of one analyte from one in vitro (e.g., blood, plasma or urine) sample, multiplexed point-of-care testing is the simultaneous on-site quantification of various analytes from a single sample.
In probability theory, an elementary event, also called an atomic event or sample point, is an event which contains only a single outcome in the sample space. [1] Using set theory terminology, an elementary event is a singleton. Elementary events and their corresponding outcomes are often written interchangeably for simplicity, as such an event ...
A probability space is a mathematical triplet that presents a model for a particular class of real-world situations. As with other models, its author ultimately defines which elements , , and will contain. The sample space is the set of all possible outcomes. An outcome is the result of a single execution of the model.
A random experiment is described or modeled by a mathematical construct known as a probability space. A probability space is constructed and defined with a specific kind of experiment or trial in mind. A mathematical description of an experiment consists of three parts: A sample space, Ω (or S), which is the set of all possible outcomes.
Electronic documentation. Point of care (POC) documentation is the ability for clinicians to document clinical information while interacting with and delivering care to patients. [10] The increased adoption of electronic health records (EHR) in healthcare institutions and practices creates the need for electronic POC documentation through the ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier.. For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model.