WIN $150 GIFT VOUCHERS: ALADDIN'S GOLD

Close Notification

Your cart does not contain any items

Optimized feature selection for enhancing lung cancer prediction using machine learning techniques by Shanthi S at Abbey's Bookshop,
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques
— —
Shanthi S

Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Shanthi S

$52.95   $44.87

Paperback

Not in-store but you can order this
How long will it take?
English
Ary Publisher
25 February 2023
Oncology; Respiratory medicine; Machine learning; Coping with illness
Lung cancer is a major cause of cancer-related deaths worldwide. Machine learning techniques have shown promising results in the early detection and prediction of lung cancer. However, high-dimensional data, such as gene expression profiles, can introduce noise and decrease the classification accuracy of machine learning models. Feature selection techniques can alleviate this issue by identifying the most relevant and informative features, leading to better model performance.

Optimized feature selection techniques can enhance the prediction accuracy of lung cancer using machine learning algorithms. Support vector machines, random forest, and artificial neural networks are commonly used algorithms for lung cancer prediction. By optimizing feature selection, these models can be trained with the most informative features, reducing overfitting and improving classification accuracy.

Cross-validation techniques can also be used to evaluate the performance of feature selection and machine learning algorithms. The integration of optimized feature selection with machine learning techniques can provide an accurate and reliable lung cancer prediction model, which has the potential to improve early detection and precision medicine for lung cancer patients.

Overall, optimized feature selection for enhancing lung cancer prediction using machine learning techniques is a promising approach to improving patient outcomes and reducing the global burden of lung cancer.
By:  
Imprint:   Ary Publisher
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 7mm
Weight:   186g
ISBN:   9782572444642
ISBN 10:   257244464X
Pages:   132
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

See Also

Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Cancer and Energy Medicine

A Healing Journey

Dianne Faure

Paperback

$62.95 

Not in-store but you can order this

ADD +
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Taste Versus Cancer

The Truth Is Clear

David W Brown

Paperback

$96.95  $82.35

Not in-store but you can order this

ADD +
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Hot topics in Cardio-Oncology

Dr. Valentina Mercurio (Federico...

Paperback

$90.99 

Not in-store but you can order this

ADD +
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Audacious Optimism

The Mindful Choice to Live Boldly...

Shanna Adamic

Hardback

$46.95 

Not in-store but you can order this

ADD +
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Handbook of Proteases in Cancer...

Therapeutic Aspects

Sajal Chakraborti

Hardback

$357 

Not in-store but you can order this

ADD +
Optimized feature selection for enhancing lung cancer prediction using machine learning techniques

Nanophototherapy

Preparations and Applications

Panchanathan Manivasagan (Research...

Paperback

$458.95 

Not in-store but you can order this

ADD +