Leveraging Data Science for Global Health

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings.

Leveraging Data Science for Global Health

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

More Books:

Leveraging Data Science for Global Health
Language: en
Pages: 475
Authors: Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Categories: Medical
Type: BOOK - Published: 2020-07-31 - Publisher: Springer Nature

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks
Leveraging Data Science for Global Health
Language: en
Pages: 475
Authors: Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Categories: Medical
Type: BOOK - Published: 2020-09-18 - Publisher: Springer

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks
Dynamic Simulation and Virtual Reality in Hydrology and Water Resources Management
Language: en
Pages: 198
Authors: Ramesh S.V. Teegavarapu, Chandramouli V. Chandramouli
Categories: Science
Type: BOOK - Published: 2021-07-27 - Publisher: CRC Press

Dynamic Simulation and Virtual Reality in Hydrology and Water Resources Management focuses on the understanding, use, and application of system dynamics simulation and virtual reality approaches for modeling the spatial and temporal behavior of natural and managed hydro-environmental systems. The book discusses concepts of systems thinking and system dynamics approach,
Global Cardiac Surgery Capacity Development in Low and Middle Income Countries
Language: en
Pages: 550
Authors: Jacques Kpodonu
Categories: Medical
Type: BOOK - Published: 2021-11-22 - Publisher: Springer Nature

This book provides a focused resource on how cardiac surgery capacity can be developed and how it assists in the sustainable development and strengthening of associated health systems. Background is provided on the extent of the problems that are experienced in many nations with suggestions for how suitable frameworks can
Handbook of Research on Data Science for Effective Healthcare Practice and Administration
Language: en
Pages: 545
Authors: Noughabi, Elham Akhond Zadeh, Raahemi, Bijan, Albadvi, Amir, Far, Behrouz H.
Categories: Computers
Type: BOOK - Published: 2017-07-20 - Publisher: IGI Global

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a