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. Devel...
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| Other Authors: | , , , , , |
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| Format: | Book Chapter |
| Published: |
Springer Nature
2020
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 03050naaaa2200601uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_30895 | ||
| 005 | 20210210 | ||
| 020 | |a 978-3-030-47994-7 | ||
| 024 | 7 | |a 10.1007/978-3-030-47994-7 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a MBG |2 bicssc | |
| 072 | 7 | |a UBH |2 bicssc | |
| 072 | 7 | |a KCQ |2 bicssc | |
| 100 | 1 | |a Celi, Leo Anthony |4 edt | |
| 700 | 1 | |a Majumder, Maimuna S. |4 edt | |
| 700 | 1 | |a Ordóñez, Patricia |4 edt | |
| 700 | 1 | |a Osorio, Juan Sebastian |4 edt | |
| 700 | 1 | |a Paik, Kenneth E. |4 edt | |
| 700 | 1 | |a Somai, Melek |4 edt | |
| 700 | 1 | |a Celi, Leo Anthony |4 oth | |
| 700 | 1 | |a Majumder, Maimuna S. |4 oth | |
| 700 | 1 | |a Ordóñez, Patricia |4 oth | |
| 700 | 1 | |a Osorio, Juan Sebastian |4 oth | |
| 700 | 1 | |a Paik, Kenneth E. |4 oth | |
| 700 | 1 | |a Somai, Melek |4 oth | |
| 245 | 1 | 0 | |a Leveraging Data Science for Global Health |
| 260 | |b Springer Nature |c 2020 | ||
| 300 | |a 1 electronic resource (475 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |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. | ||
| 540 | |a Creative Commons |f by/4.0/ |2 cc |4 http://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Medical equipment & techniques |2 bicssc | |
| 650 | 7 | |a Health & safety aspects of IT |2 bicssc | |
| 650 | 7 | |a Health economics |2 bicssc | |
| 653 | |a Health Informatics | ||
| 653 | |a Health Economics | ||
| 653 | |a Open Access | ||
| 653 | |a Big Data | ||
| 653 | |a Machine Learning | ||
| 653 | |a Artificial Intelligence | ||
| 653 | |a Digital Disease Surveillance | ||
| 653 | |a Health Mapping | ||
| 653 | |a Health Records for Non-Communicable Diseases | ||
| 653 | |a HealthMap | ||
| 653 | |a Tools for Clinical Trials | ||
| 653 | |a Medical equipment & techniques | ||
| 653 | |a Information technology: general issues | ||
| 653 | |a Health & safety aspects of IT | ||
| 653 | |a Health economics | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/41290/1/2020_Book_LeveragingDataScienceForGlobal.pdf |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/30895 |7 0 |z DOAB: description of the publication |