Science Online » Prediction the spread of infectious diseases

Releases

2017

11 12

2018

1 2 3 4 5 6 7 8 9 10 11 12

2019

1 2 3 4 5 6 7 8 9 10 11 12

2020

1 2 3 4 5 6 7 8 9 10 11 12

2021

1 2 3 4 5 6 7 8 9 10 11 12

2022

1 2 3 5 6 7 9 10 11 12

2023

1 2 3 4 5 6 7 8 9 10 11 12

2024

1 2 3 4 5 6 7 8 9 10 11 12

2025

1 2 3 4 5 6 7 8 9 10 11 12

2026

1 2 3 4 5

Categories

Architecture 4 Biology 7 Veterinarian 2 Geography 1 Геологія 1 State administration 17 Ecology 1 Economy 483 Information technology 100 Other 100 History 22 Culturology 4 Mathematics 9 Medicine 12 Art history 12 National security 13 Pedagogy 49 Politology 3 Psychology 22 Agriculture 1 Social communications 22 Sociology 6 Technical sciences 216 Tourism 1 Pharmaceutics 2 Physics 7 Physical education and sports 8 Philology 57 Philosophy 2 Chemistry 1 Jurisprudence 367

Popular keywords

All keywords

Prediction the spread of infectious diseases

Author: Елена Светлова

Annotation: The article considers the main methods for predicting the spread of infectious diseases - point evaluation, regression models, Bayesian networks and artificial neural networks. The features of the application, advantages and disadvantages of each of the methods considered are given.

Keywords: Bayesian networks infectious diseases point estimation prediction methods regression models байесовские сети байєсовьскі мережі инфекционные заболевания інфекційні захворювання методи прогнозування методы прогнозирования поточечная оценка поточкова оцінка регресійні моделі регрессионные модели

Categories: Technical sciences

Bibliographic description of the article for the citation:

Елена Светлова. Prediction the spread of infectious diseases//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/technical-sciences/2018/5/prognozirovanie-rasprostraneniya-infektsionnyh-zabolevanij/

The article was published in: Science online No5 май 2018

Download the article (pdf)

Sorry, this entry is only available in Ukrainian.

Comments are closed.

To comment on the article - you need to download the candidate degree and / or doctor of Science