PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY

Close Notification

Your cart does not contain any items

Improving Medical Data Classification with Learning Algorithms by Tarle Sukadeo at Abbey's Bookshop,
Improving Medical Data Classification with Learning Algorithms
— —
Tarle Sukadeo

Improving Medical Data Classification with Learning Algorithms

Tarle Sukadeo

$50.95   $43

Paperback

Not in-store but you can order this
How long will it take?
English
Meem Publishers
10 July 2023
Algorithms & data structures; Machine learning
This focuses on enhancing the classification of medical data using learning algorithms. With the increasing availability and complexity of medical data, accurate and efficient classification techniques are crucial for effective healthcare decision-making. The research aims to explore various learning algorithms and their potential to improve the classification accuracy of medical data.

By leveraging machine learning algorithms, this research seeks to optimize the process of categorizing medical data into specific classes or categories. The study will investigate the performance and effectiveness of different algorithms, such as decision trees, support vector machines, neural networks, and ensemble methods. These algorithms will be evaluated based on their ability to handle diverse medical data types, including patient records, diagnostic reports, medical images, and laboratory results.

The outcomes of this research have the potential to contribute significantly to the field of medical data analysis. The enhanced classification techniques can help healthcare professionals accurately interpret and utilize medical data, leading to improved diagnoses, treatment planning, and patient care. Additionally, the findings may pave the way for developing automated systems that can assist medical professionals in data-driven decision-making, reducing human errors and enhancing overall healthcare efficiency.

Overall, its aims to advance the field of medical data classification by leveraging learning algorithms to achieve more accurate and reliable results. The research findings have the potential to positively impact healthcare practices, facilitating better healthcare outcomes and improving patient well-being.
By:  
Imprint:   Meem Publishers
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 6mm
Weight:   159g
ISBN:   9784473160355
ISBN 10:   4473160351
Pages:   112
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

See Also

Improving Medical Data Classification with Learning Algorithms

Artificial Intelligence for the...

K. Shankar

Paperback

$96.99 

Not in-store but you can order this

ADD +
Improving Medical Data Classification with Learning Algorithms

Intelligent Evolutionary Optimization...

Hua Xu, PhD (Tsinghua University,...

Paperback

$370.95 

Not in-store but you can order this

ADD +
Improving Medical Data Classification with Learning Algorithms

AI for Scientific Discovery

Janna Hastings (University College...

Paperback

$19.99 

Not in-store but you can order this

ADD +
Improving Medical Data Classification with Learning Algorithms

Smart Spaces

Zhihan Lyu (Senior Lecturer/Associate...

Paperback

$308.95 

Not in-store but you can order this

ADD +
Improving Medical Data Classification with Learning Algorithms

A History of Data Visualization...

Michael Friendly

Hardback

$82.95 

Not in-store but you can order this

ADD +
Improving Medical Data Classification with Learning Algorithms

Beyond the Worst-Case Analysis of...

Tim Roughgarden (Columbia University,...

Hardback

$104.95 

Not in-store but you can order this

ADD +