๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Machine learning for healthcare applications


Tongue
English
Leaves
390
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Machine Learning for Healthcare Systems:
โœ C. Karthik Chandran, M. Rajalakshmi, Sachi Nandan Mohanty, Subrata Chowdhury ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› River Publishers ๐ŸŒ English

This book provides various insights into machine learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling, analysis, and applications. The exten

Explainable Machine Learning for Multime
โœ M. Shamim Hossain (editor), Utku Kose (editor), Deepak Gupta (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› Springer ๐ŸŒ English

<span>This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems a

Applications of Machine Learning in Digi
โœ Miguel Hernandez Silveira (editor), Su-Shin Ang (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› The Institution of Engineering and Technology ๐ŸŒ English

<p><span>Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the

Machine Learning in Healthcare: Fundamen
โœ Bikesh Kumar Singh, G.R. Sinha ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› CRC Press ๐ŸŒ English

<span><p>Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several stud

Swarm Intelligence and Machine Learning:
โœ Manish Gupta (editor), Jitendra Agrawal (editor), Dac-Nhuong Le (editor), Shikha ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› CRC Press ๐ŸŒ English

<p><span>Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healt