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  2. Microangiopathy - Wikipedia

    en.wikipedia.org/wiki/Microangiopathy

    Microangiopathy (also known as microvascular disease, small vessel disease (SVD) or microvascular dysfunction) is a disease of the microvessels, small blood vessels in the microcirculation. [1] It can be contrasted to macroangiopathies such as atherosclerosis , where large and medium-sized arteries (e.g., aorta , carotid and coronary arteries ...

  3. Cerebroretinal microangiopathy with calcifications and cysts

    en.wikipedia.org/wiki/Cerebroretinal...

    Additional features include poor prenatal growth, preterm birth, anemia, osteopenia and bone fractures, [3] [4] [5] and gastrointestinal bleeding. [6] It is caused by compound heterozygous mutations in the conserved telomere maintenance component 1 ( CTC1 ) gene , [ 7 ] [ 8 ] but its exact pathophysiology is still not well understood.

  4. Higher-order singular value decomposition - Wikipedia

    en.wikipedia.org/wiki/Higher-order_singular...

    Some aspects can be traced as far back as F. L. Hitchcock in 1928, [1] but it was L. R. Tucker who developed for third-order tensors the general Tucker decomposition in the 1960s, [2] [3] [4] further advocated by L. De Lathauwer et al. [5] in their Multilinear SVD work that employs the power method, or advocated by Vasilescu and Terzopoulos ...

  5. Medical calculator - Wikipedia

    en.wikipedia.org/wiki/Medical_calculator

    Medical calculators arose because modern medicine makes frequent use of scores and indices that put physicians' memory and calculation skills to the test. [2] The advent of personal computers, the Internet and Web, and more recently personal digital assistants (PDAs) have formed an environment conducive to their development, spread and use.

  6. Singular value decomposition - Wikipedia

    en.wikipedia.org/wiki/Singular_value_decomposition

    Visualization of Reduced SVD variants. From top to bottom: 1: Full SVD, 2: Thin SVD (remove columns of U not corresponding to rows of V *), 3: Compact SVD (remove vanishing singular values and corresponding columns/rows in U and V *), 4: Truncated SVD (keep only largest t singular values and corresponding columns/rows in U and V *)

  7. Normal score - Wikipedia

    en.wikipedia.org/wiki/Normal_score

    The term normal score is used with two different meanings in statistics. One of them relates to creating a single value which can be treated as if it had arisen from a standard normal distribution (zero mean, unit variance). The second one relates to assigning alternative values to data points within a dataset, with the broad intention of ...

  8. Standard normal table - Wikipedia

    en.wikipedia.org/wiki/Standard_normal_table

    Since probability tables cannot be printed for every normal distribution, as there are an infinite variety of normal distributions, it is common practice to convert a normal to a standard normal (known as a z-score) and then use the standard normal table to find probabilities. [2]

  9. Gleason grading system - Wikipedia

    en.wikipedia.org/wiki/Gleason_grading_system

    For example, if the primary tumor grade was 2 and the secondary tumor grade was 3 but some cells were found to be grade 4, the Gleason score would be 2+4=6. This is a slight change from the pre-2005 Gleason system where the second number was the secondary grade (i.e., the grade of the second-most common cell line pattern).

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