Details
| Title | Big data analytics in HIV/AIDS research |
|---|---|
| Other creators | Al Mazari Ali |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | AIDS (Disease) ; Data sets. ; Data mining. ; Datasets as Topic ; HIV Infections — epidemiology ; Data Mining ; Acquired Immunodeficiency Syndrome ; Sida. ; Jeux de données. ; Exploration de données (Informatique) ; MEDICAL — Forensic Medicine. ; MEDICAL — Preventive Medicine. ; MEDICAL — Public Health. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1029759968 |
| Record create date | 3/29/2018 |
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| Network | Internet |
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- Title Page
- Copyright Page
- Book Series
- Dedication
- Editorial Advisory Board and List of Reviewers
- Table of Contents
- Detailed Table of Contents
- Foreword
- Preface
- Acknowledgment
- Introduction
- Chapter 1: Computational Analysis of Reverse Transcriptase Resistance to Inhibitors in HIV-1
- Chapter 2: Statistical and Computational Needs for Big Data Challenges
- Chapter 3: Usage of Big Data Prediction Techniques for Predictive Analysis in HIV/AIDS
- Chapter 4: Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era
- Chapter 5: Risks, Security, and Privacy for HIV/AIDS Data
- Chapter 6: Prevalence in MSM Is Enhanced by Role Versatility
- Chapter 7: Dissection of HIV-1 Protease Subtype B Inhibitors Resistance Through Molecular Modeling Approaches
- Chapter 8: HIV-Associated Neurocognitive Disorder
- Related References
- Compilation of References
- About the Contributors
- Index
