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  2. 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 ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. 640 Text Classification 1999 [128] [129] M. Kudo et al. Parkinson's Telemonitoring Dataset Multiple recordings of people with and without Parkinson's Disease. Sound features extracted. 5875 Text Classification 2009 [130] [131]

  4. 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 ...

  5. Leishmaniasis - Wikipedia

    en.wikipedia.org/wiki/Leishmaniasis

    Leishmaniasis is a wide array of clinical manifestations caused by protozoal parasites of the Trypanosomatida genus Leishmania. [7] It is generally spread through the bite of phlebotomine sandflies, Phlebotomus and Lutzomyia, and occurs most frequently in the tropics and sub-tropics of Africa, Asia, the Americas, and southern Europe.

  6. Predictive medicine - Wikipedia

    en.wikipedia.org/wiki/Predictive_medicine

    The goal of predictive medicine is to predict the probability of future disease so that health care professionals and the patient themselves can be proactive in instituting lifestyle modifications and increased physician surveillance, such as bi-annual full body skin exams by a dermatologist or internist if their patient is found to have an increased risk of melanoma, an EKG and cardiology ...

  7. 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.

  8. Lupus - Wikipedia

    en.wikipedia.org/wiki/Lupus

    Lupus is Latin for "wolf", [154] [10] and in Medieval Latin was also used to refer to a disease of the skin, [155] and "erythematosus" is derived from ἐρύθημα, Ancient Greek for "redness of the skin". All explanations originate with the reddish, butterfly-shaped malar rash that the disease classically exhibits across the nose and cheeks.

  9. Epidermodysplasia verruciformis - Wikipedia

    en.wikipedia.org/wiki/Epidermodysplasia...

    Epidermodysplasia verruciformis (EV) is a skin condition characterised by warty skin lesions. [1] It results from an abnormal susceptibility to HPV infection (HPV). It is associated with a high lifetime risk of squamous cell carcinomas in skin. [1]