Big Data Analytics in HIV/AIDS Research

Author: Ali Al Mazari  

Publisher: IGI Global‎

Publication year: 2018

E-ISBN: 9781522532040

Subject: R512.91 AIDS Acquired immune deficiency syndrome (AIDS)

Language: ENG

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Big Data Analytics in HIV/AIDS Research

Chapter

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

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