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Simon James Fong

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuodelta 2020, suosituimpien joukossa Predictive Models for Decision Support in the COVID-19 Crisis. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Predictive Models for Decision Support in the COVID-19 Crisis

Predictive Models for Decision Support in the COVID-19 Crisis

Joao Alexandre Lobo Marques; Francisco Nauber Bernardo Gois; José Xavier-Neto; Simon James Fong

Springer Nature Switzerland AG
2020
nidottu
COVID-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. Readers 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.
Artificial Intelligence for Coronavirus Outbreak

Artificial Intelligence for Coronavirus Outbreak

Simon James Fong; Nilanjan Dey; Jyotismita Chaki

Springer Verlag, Singapore
2020
nidottu
This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives.The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.