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  2. Mental status examination - Wikipedia

    en.wikipedia.org/wiki/Mental_status_examination

    The mental status examination (MSE) is an important part of the clinical assessment process in neurological and psychiatric practice. It is a structured way of observing and describing a patient's psychological functioning at a given point in time, under the domains of appearance, attitude, behavior, mood and affect, speech, thought process, thought content, perception, cognition, insight, and ...

  3. Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_error

    The MSE either assesses the quality of a predictor (i.e., a function mapping arbitrary inputs to a sample of values of some random variable), or of an estimator (i.e., a mathematical function mapping a sample of data to an estimate of a parameter of the population from which the data is sampled).

  4. Mini–mental state examination - Wikipedia

    en.wikipedia.org/wiki/Mini–Mental_State...

    Interlocking pentagons used for the last question. The MMSE test includes simple questions and problems in a number of areas: the time and place of the test, repeating lists of words, arithmetic such as the serial sevens, language use and comprehension, and basic motor skills.

  5. Talk:Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Talk:Mean_squared_error

    The MSE is the amount that the estimator varies about its TRUE mean, which in this example is the number m. For an unbiased estimator, the MSE and the variance are the same. But often, it is not possible to find an unbiased estimator, or in cases a biased estimator might be preferred.

  6. Mean squared prediction error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_prediction_error

    First, with a data sample of length n, the data analyst may run the regression over only q of the data points (with q < n), holding back the other n – q data points with the specific purpose of using them to compute the estimated model’s MSPE out of sample (i.e., not using data that were used in the model estimation process).

  7. Minimum mean square error - Wikipedia

    en.wikipedia.org/wiki/Minimum_mean_square_error

    Also, the gain factor, +, depends on our confidence in the new data sample, as measured by the noise variance, versus that in the previous data. The initial values of x ^ {\displaystyle {\hat {x}}} and C e {\displaystyle C_{e}} are taken to be the mean and covariance of the aprior probability density function of x {\displaystyle x} .

  8. Minimal reproducible example - Wikipedia

    en.wikipedia.org/wiki/Minimal_reproducible_example

    In computing, a minimal reproducible example (abbreviated MRE) [1] is a collection of source code and other data files which allow a bug or problem to be demonstrated and reproduced. The important feature of a minimal reproducible example is that it is as small and as simple as possible, such that it is just sufficient to demonstrate the ...

  9. Media Source Extensions - Wikipedia

    en.wikipedia.org/wiki/Media_Source_Extensions

    rx-player for HTML5 MSE and EME (Live and On Demand) [27] hls.js for HTML5 MSE [28] [29] hasplayer.js for HTML5 MSE and EME, supporting DASH, Smooth Streaming and HLS [30] JW Player 7 and later for MPEG-DASH using HTML5 MSE and EME [31] SLDP HTML5 Player supports SLDP via MSE playback [32] Azure Media Player supports MSE, EME, DASH, HLS, Flash ...