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  2. Category:Infectious disease templates - Wikipedia

    en.wikipedia.org/wiki/Category:Infectious...

    [[Category:Infectious disease templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Infectious disease templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  3. Mathematical modelling of infectious diseases - Wikipedia

    en.wikipedia.org/wiki/Mathematical_modelling_of...

    If a model makes predictions that are out of line with observed results and the mathematics is correct, the initial assumptions must change to make the model useful. [ 13 ] Rectangular and stationary age distribution , i.e., everybody in the population lives to age L and then dies, and for each age (up to L ) there is the same number of people ...

  4. Swiss-model - Wikipedia

    en.wikipedia.org/wiki/Swiss-model

    The Swiss-model Workspace integrates programs and databases required for protein structure prediction and modelling in a web-based workspace. Depending on the complexity of the modelling task, different modes of use can be applied, in which the user has different levels of control over individual modelling steps: automated mode, alignment mode, and project mode.

  5. Compartmental models in epidemiology - Wikipedia

    en.wikipedia.org/wiki/Compartmental_models_in...

    For the full specification of the model, the arrows should be labeled with the transition rates between compartments. Between S and I, the transition rate is assumed to be (/) / = /, where is the total population, is the average number of contacts per person per time, multiplied by the probability of disease transmission in a contact between a susceptible and an infectious subject, and / is ...

  6. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  7. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2] In many cases, the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam.

  8. Category:Disease and disorder templates - Wikipedia

    en.wikipedia.org/wiki/Category:Disease_and...

    [[Category:Disease and disorder templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Disease and disorder templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  9. Apparent infection rate - Wikipedia

    en.wikipedia.org/wiki/Apparent_infection_rate

    The model is based on two assumptions: the progress of the infection is constrained by the amount of tissue that remains to be infected; and; if it were not so constrained, the extent of infection would exhibit exponential growth. There is a single model parameter r, which is the apparent infection rate. It can be calculated analytically using ...