Leveraging Data Science for Global Health

• अन्य लेखक: Celi, Leo Anthony (संपादक), Majumder, Maimuna S. (संपादक), Ordóñez, Patricia (संपादक), Osorio, Juan Sebastian (संपादक), Paik, Kenneth E. (संपादक), Somai, Melek (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Springer Nature 2020
• विषय: Medical equipment & techniques; Health & safety aspects of IT; Health economics; Health Informatics; Health Economics; Open Access; Big Data; Machine Learning; Artificial Intelligence; Digital Disease Surveillance; Health Mapping; Health Records for Non-Communicable Diseases; HealthMap; Tools for Clinical Trials; Information technology: general issues
• ऑनलाइन पहुंच: OAPEN Library: download the publication; OAPEN Library: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (475 p.)

आईएसबीएन

978-3-030-47994-7

अभिगमन

Open Access