Name: Controlling Epidemics With Mathematical and Machine Learning Models (en Inglés)
SKU: 60348022
Price: 302.68 USD
Availability: InStock
Author: Varghese, Abraham ; Lacap, Eduardo M., Jr. ; Sajath, Ibrahim
ISBN: 9781799883432

portada Controlling Epidemics With Mathematical and Machine Learning Models (en Inglés)

Controlling Epidemics With Mathematical and Machine Learning Models (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

284

Encuadernación

Tapa Dura

Dimensiones

25.4x17.8x1.8 cm

Peso

0.71 kg.

ISBN13

9781799883432

Categorías

Epidemiología y estadística médica
Diseño y teoría de bases de datos
Aprendizaje automático («machine learning»)
Arquitectura de la información

Controlling Epidemics With Mathematical and Machine Learning Models (en Inglés)

Abraham Varghese (Autor) · Eduardo M. Lacap (Autor) · Ibrahim Sajath (Autor) · IGI Global · Tapa Dura

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Reseña del libro "Controlling Epidemics With Mathematical and Machine Learning Models (en Inglés)"

Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.