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  2. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    In a neural network, batch normalization is achieved through a normalization step that fixes the means and variances of each layer's inputs. Ideally, the normalization would be conducted over the entire training set, but to use this step jointly with stochastic optimization methods, it is impractical to use the global information.

  3. Normalization (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(machine...

    Instance normalization (InstanceNorm), or contrast normalization, is a technique first developed for neural style transfer, and is also only used for CNNs. [26] It can be understood as the LayerNorm for CNN applied once per channel, or equivalently, as group normalization where each group consists of a single channel:

  4. Normalization process model - Wikipedia

    en.wikipedia.org/wiki/Normalization_process_model

    The normalization process model is a sociological model, developed by Carl R. May, that describes the adoption of new technologies in health care.The model provides framework for process evaluation using three components – actors, objects, and contexts – that are compared across four constructs: Interactional workability, relational integration, skill-set workability, and contextual ...

  5. Normalization process theory - Wikipedia

    en.wikipedia.org/wiki/Normalization_process_theory

    Normalization process theory (NPT) is a sociological theory, generally used in the fields of science and technology studies (STS), implementation research, and healthcare system research. The theory deals with the adoption of technological and organizational innovations into systems, recent studies have utilized this theory in evaluating new ...

  6. Health care analytics - Wikipedia

    en.wikipedia.org/wiki/Health_care_analytics

    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 ...

  7. Utilization management - Wikipedia

    en.wikipedia.org/wiki/Utilization_management

    Utilization management is "a set of techniques used by or on behalf of purchasers of health care benefits to manage health care costs by influencing patient care decision-making through case-by-case assessments of the appropriateness of care prior to its provision," as defined by the Institute of Medicine [1] Committee on Utilization Management by Third Parties (1989; IOM is now the National ...

  8. Health administration - Wikipedia

    en.wikipedia.org/wiki/Health_administration

    Iconographic Collections. Keywords: E. Walker; Florence Nightingale; W.J. Simpson. Health administration, healthcare administration, healthcare management or hospital management is the field relating to leadership, management, and administration of public health systems, health care systems, hospitals, and hospital networks in all the primary, secondary, and tertiary sectors.

  9. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.