{"product_id":"9783030619121","title":"SpringerBriefs in Applied Sciences and Technology","description":"\u003ch1\u003eSpringerBriefs in Applied Sciences and Technology\u003c\/h1\u003e \u003ch2\u003eMarques, Joao Alexandre Lobo; Gois, Francisco Nauber Bernardo; Xavier-Neto, José; Fong, Simon James\u003c\/h2\u003e \u003cp\u003eCOVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n\n\u003cp\u003eReaders from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2020-12-01\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030619121\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-61913-8\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 98\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":46185193668748,"sku":"9783030619121","price":58.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030619121.jpg?v=1776517422","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030619121","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}