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Leveraging Data Science for Global Health [[electronic resource] /] / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Leveraging Data Science for Global Health [[electronic resource] /] / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Autore Celi Leo Anthony
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XII, 475 p. 196 illus., 175 illus. in color.)
Disciplina 502.85
Soggetto topico Health informatics
Health economics
Health Informatics
Health Economics
Soggetto non controllato 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
Medical equipment & techniques
Information technology: general issues
Health & safety aspects of IT
Health economics
ISBN 3-030-47994-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1: Big Data and Global Health Landscape -- Chapter 1. Strengths and Weaknesses of Big Data for Global Health Surveillance -- Chapter 2. Opportunities for Health Big Data in Africa -- Chapter 3. HealthMap and Digital Disease Surveillance -- Chapter 4. Mobility Data and Genomics for Disease Surveillance -- Part 2: Case Studies -- Chapter 5. Kumbh Mela Disease Surveillance -- Chapter 6. Using Google Mobility Data for Disaster Monitoring in Puerto Rico -- Chapter 7. StreetRx and the Opioid Epidemic -- Chapter 8. Twitter Data for Zika Virus Surveillance in Venezuela -- Chapter 9. Hepatitis E Outbreak in Namibia and Google Trends -- Chapter 10. Patient-Controlled Health Records for Non-Communicable Diseases in Humanitarian Settings -- Chapter 11. Addressing Sexual and Reproductive Health among Youth Migrants -- Chapter 12. Tanzanian cholera: epidemic or endemic? -- Chapter 13. Google Satellite Images to Predict Yellow Fever Incidence in Brazil -- Chapter 14. Feature Selection and Prediction of Treatment Failure in Tuberculosis -- Chapter 15. Tuberculosis, Refugees, and the Politics of Journalistic Objectivity: A qualitative review using HealthMap data -- Chapter 16. Designing Tools to Support the Cutaneous Leishmaniasis Trial in Colombia.
Record Nr. UNISA-996465446903316
Celi Leo Anthony  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Role of Health Economic Data in Policy Making and Reimbursement of New Medical Technologies
Role of Health Economic Data in Policy Making and Reimbursement of New Medical Technologies
Autore Tetsuji Yamada
Pubbl/distr/stampa Frontiers Media SA, 2017
Descrizione fisica 1 online resource (202 p.)
Collana Frontiers Research Topics
Soggetto topico Pharmacology
Soggetto non controllato cost
Decision Making
Emerging Markets
Health Economics
Health expenditure
health investment
health policy
health technology assessment
medical technology
reimbursement
Resource Allocation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346745603321
Tetsuji Yamada  
Frontiers Media SA, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
Autore Etzioni, Ruth
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxii, 222 p. : ill. ; 24 cm
Altri autori (Persone) Gulati, Roman
Mandel, Micha
Soggetto topico 62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Analytic methods
Biostatistics
Data science
Epidemiology
Health Care Databases
Health Data Analytics
Health Economics
Health Outcomes
Health Services
Machine learning
Medical Claims Data
Models
Prediction
Predictive Modeling
Public Health
Regression
Risk
Statistical analysis
Surveys
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249870
Etzioni, Ruth  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
Autore Etzioni, Ruth
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxii, 222 p. : ill. ; 24 cm
Altri autori (Persone) Gulati, Roman
Mandel, Micha
Soggetto topico 62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
Soggetto non controllato Analytic methods
Biostatistics
Data science
Epidemiology
Health Care Databases
Health Data Analytics
Health Economics
Health Outcomes
Health Services
Machine learning
Medical Claims Data
Models
Prediction
Predictive Modeling
Public Health
Regression
Risk
Statistical analysis
Surveys
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249870
Etzioni, Ruth  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui