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
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| Springer Nature, 2020 | ||
| 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
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| Frontiers Media SA, 2017 | ||
| 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
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| Cham, : Springer, 2020 | ||
| 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
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| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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