你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Mental Health Analysis based on Machine Learning
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
154
Format
Paperback
Dimensions
22.9x15.2x0.8 cm
ISBN13
9789999335102

Mental Health Analysis based on Machine Learning

Priyanka Mangal (Author) · Eliva Press · Paperback

Mental Health Analysis based on Machine Learning - Priyanka Mangal

Cheaper New Book Imported to Taiwan
Delivery: 03 Nov - 16 Nov Shipping: 15 to 19 business days.
NT$ 2,549
Faster New Book Imported to Taiwan
Delivery: 21 Oct - 29 Oct Shipping: 6 to 7 business days.
NT$ 2,730
NT$ 2,549

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Mental Health Analysis based on Machine Learning"

Mental health illness prediction system using machine learning algorithms focuses on the use of artificial intelligence techniques to support early detection of mental health conditions. Here, students are considered as target population. This book explores how machine learning algorithms can be effectively applied to predictive models of mental health illnesses to predict any kind of disorder among students so that early precaution can be taken. It presents a structured framework for designing and implementing an intelligent prediction system based on machine learning, covering data preparation includes data collection, data preprocessing, feature extraction, algorithm selection techniques for model development, training, testing, and system deployment, performance analysis.
In addition to theoretical insights, the book presents real-world case studies that illustrate the deployment of predictive models in mental health applications. It highlights various machine learning algorithms and their role in improving prediction accuracy and decision support. The content addresses real-world challenges for students, developers, and healthcare researchers and professional audiences, the book bridges the gap between mental health studies and intelligent computing technologies. It supports early diagnosis and decision-making in mental health care.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews