HIV Status Predictive Modeling Using Data Mining Technology: Predicting HIV status - Elias Lemuye
-30% with code BOOKS
Shipping in 12-18 days
30-day return policy
This research work has attempted to investigate the underlying determinant factors of being HIV positive or HIV negative from the available HCT data using data mining techniques. It consists of experiments on searching classification model that predicts HIV status and association rule mining to discover the relationship of HIV status with the selected attributes. The classification experiments are carried o ... Full description
You May Also Like
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-30% with code BOOKS
In stock at our supplier
TOP
How To Think About AI: A Guide For The Perplexed
-30% with code BOOKS
In stock at our supplier
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-30% with code BOOKS
In stock at our supplier
TOP
AI Engineering: Building Applications with Foundation Models
-30% with code BOOKS
In stock at our supplier
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-30% with code BOOKS
In stock at our supplier
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-30% with code BOOKS
In stock at our supplier
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-30% with code BOOKS
In stock at our supplier
TOP
How to Talk to AI: (And How Not To)
-30% with code BOOKS
In stock at our supplier
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-30% with code BOOKS
In stock at our supplier
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-30% with code BOOKS
In stock at our supplier
TOP
The Art of Game Design: A Book of Lenses
-30% with code BOOKS
In stock at our supplier
TOP
How Linux Works: What Every Superuser Should Know
-30% with code BOOKS
In stock at our supplier
TOP
Hands-On Large Language Models: Language Understanding and Generation
Maarten Grootendorst, Jay Alammar
-30% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-30% with code BOOKS
In stock at our supplier
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-30% with code BOOKS
In stock at our supplier
TOP
Clean Architecture: A Craftsman's Guide to Software Structure and Design
-30% with code BOOKS
In stock at our supplier
TOP
World of Warcraft Chronicle, Volume 2
-30% with code BOOKS
In stock at our supplier
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-30% with code BOOKS
In stock at our supplier
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-30% with code BOOKS
In stock at our supplier
Description
This research work has attempted to investigate the underlying determinant factors of being HIV positive or HIV negative from the available HCT data using data mining techniques. It consists of experiments on searching classification model that predicts HIV status and association rule mining to discover the relationship of HIV status with the selected attributes. The classification experiments are carried out using J48 and ID3 algorithms. The association rule mining is using Apriori algorithm. One of the surprising results obtained from the experiment was that age group 50 and above are becoming also vulnerable to HIV/AIDS as the patterns have indicated. Medical experts also have stated that a growing number of older people are being infected with HIV/AIDS. One of the reasons they raised is that, they are finding HIV more often than ever before in older age since improved treatments are helping people with the disease live longer. The second reason is doctors do not always test older people for HIV/AIDS and so may miss some cases during routine check-ups and others.
More Information
| Author | Elias Lemuye |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2012 |
| Cover type | Softcover |
| EAN | 9783846585191 |