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02693naaaa2200553uu 4500 |
001 |
41290 |
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20200813 |
020 |
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|a 978-3-030-47994-7
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024 |
7 |
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|a 10.1007/978-3-030-47994-7
|c doi
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041 |
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|h English
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042 |
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|a dc
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100 |
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|a Celi, Leo Anthony
|e edt
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856 |
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|z Get fulltext
|u https://library.oapen.org/handle/20.500.12657/41290
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700 |
1 |
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|a Majumder, Maimuna S.
|e edt
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700 |
1 |
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|a Ordóñez, Patricia
|e edt
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700 |
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|a Osorio, Juan Sebastian
|e edt
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700 |
1 |
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|a Paik, Kenneth E.
|e edt
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700 |
1 |
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|a Somai, Melek
|e edt
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700 |
1 |
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|a Celi, Leo Anthony
|e oth
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700 |
1 |
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|a Majumder, Maimuna S.
|e oth
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700 |
1 |
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|a Ordóñez, Patricia
|e oth
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700 |
1 |
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|a Osorio, Juan Sebastian
|e oth
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700 |
1 |
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|a Paik, Kenneth E.
|e oth
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700 |
1 |
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|a Somai, Melek
|e oth
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245 |
1 |
0 |
|a Leveraging Data Science for Global Health
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260 |
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|b Springer Nature
|c 2020
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300 |
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|a 1 electronic resource (475 p.)
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506 |
0 |
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|a Open Access
|2 star
|f Unrestricted online access
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520 |
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|a 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.
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540 |
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|a Creative Commons
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546 |
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|a English
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650 |
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7 |
|a Medical equipment & techniques
|2 bicssc
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650 |
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7 |
|a Health & safety aspects of IT
|2 bicssc
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650 |
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7 |
|a Health economics
|2 bicssc
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653 |
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|a Health Informatics
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653 |
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|a Health Economics
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653 |
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|a Open Access
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653 |
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|a Big Data
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653 |
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|a Machine Learning
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653 |
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|a Artificial Intelligence
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653 |
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|a Digital Disease Surveillance
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653 |
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|a Health Mapping
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653 |
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|a Health Records for Non-Communicable Diseases
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653 |
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|a HealthMap
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653 |
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|a Tools for Clinical Trials
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653 |
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|a Medical equipment & techniques
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653 |
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|a Information technology: general issues
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653 |
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|a Health & safety aspects of IT
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653 |
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|a Health economics
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