Buch, Englisch, 98 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 178 g
Buch, Englisch, 98 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 178 g
Reihe: SpringerBriefs in Applied Sciences and Technology
ISBN: 978-3-030-61912-1
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
- Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
Weitere Infos & Material
Chapter 1. Prediction for Decision Support during the COVID-19 Pandemic.- Chapter 2. Epidemiology Compartmental Models - SIR, SEIR and SEIR with Intervention.- Chapter 3. Forecasting COVID-19 Time Series based on an Auto Regressive Model.- Chapter 4. Nonlinear Prediction for the COVID-19 Data based on Quadratic Kalman Filtering.- Chapter 5. Arti?cial Intelligence Prediction for the COVID-19 Data based on LSTM Neural Networks and H2O AutoML.- Chapter 6. Predicting the Geographic Spread of the COVID-19 Pandemic: a case study from Brazil.