Saurabh Srivastava

Irfan Ahmad

Rishabha Malviya

Shivam Rajput

Mukesh Roy

The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.

Machine Learning and Diagnostics

Artificial Intelligence for Healthcare

IBM Redbooks

Dino Quintero

Shubham Dhar

Luis Cruz Huertas

Doyoung Im

Afzal Khan

Donthy Venkatesh Krishna Chaitanya

Ramesh Kumar Kumar Singh

Manas Mohsin Kunnathodika

Guru Prasad

Shashi Ranjan

Vishal Vinayak Redij

Baldeep Singh

Sukrit Thareja

Sreekrishnan Venkiteswaran

Ajit Yadav

This IBM® Redbooks® publication delivers a Site Reliability Engineering (SRE) solution for cloud workloads that uses Red Hat OpenStack for Infrastructure as a Service (IaaS), Red Hat OpenShift for Platform as a Service (PaaS), and IT operations management that uses open source tools. Today, customers are no longer living in a world of licensed software. Curiosity increased the demand for investigating the Open Source world for Community Open Source and Enterprise grade applications. IBM as one of the contributors to the Open Source community is interested in helping the software be maintained and supported. Having companies, such as IBM, support the evolution of Open Source software helps to keep the Open Source community striving for enterprise grade open source solutions. Lately, companies are working on deciphering how to take advantage of Enterprise and Community Open Source to implement in their enterprises. The business case for open source software is no longer a mystery and no surprise that most of the new positions in IT enterprises are related to open source projects. The ability of a large enterprise to manage this sort of implementations is to engage in a hypertrophied cooperation, where the ability to not only cooperate with teams and people outside your organization, but also to find new ways of working together and devise new ways to improve the software and its code. A goal for this publication is to help the client's journey into the open source space and implement a private Cloud Container-based architecture with the ability to manage the entire IT Service Management processes from the open source framework. This publication describes the architecture and implementation details of the solution. Although not every piece of this solution is documented here, this book does provide instructions for what was achieved incorporating open source technologies. Moreover, with this publication, the team shares their collaboration experiences working in a team of technologists, open source developers, Red Hat, and the open source community. This publication is for designers, developers, managers, and anyone who is considering starting a Cloud open source project, or users who started that journey. This book also can be a manual to guide the implementation of a technical viable architecture and help those enterprises participate in an open source project but have not done so before. The reader must be familiar with principles in programming and basic software engineering concepts, such as source code, compilers, and patches.

Software Defined Data Center with Red Hat Cloud and Open Source IT Operations Management

Abhishek Guleria

Rakesh Kumar Bajaj

In various decision-making models the divergence measure is found to be a useful information measure in handling impreciseness and uncertainty among the qualitative and quantitative factors of the decision-making process. In the proposed work, a novel parametric divergence measure for neutrosophic sets has been proposed along with its various properties.

On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models

What is the Illusionary world, Mystery World and Practical world? From this book, readers will understand why their lives have become so messed up, and how they can live and do their work without hurting their own emotions and others’ emotions. This will help them in their everyday lives, and in every relationship. They will also be able to differentiate between Illusion, Mystery and Practical world and how they can live better in all of them. To explain this, I have chosen “Adam and Eve” as they were the first human beings of the world. This book will be helpful to everyone, regardless of religion, caste, age or gender • This book also explains how the world began, how it became like the present and what the reasons behind it are, how you can change your world, and live a better life in the present world in all aspects. • Buddhas love us with overflowing love. Do you know why we killed them? • There is no other option now, to save every individual without following the Buddha’s suggestions. • Meditation is the only way to live happily, there is no other way.

The Illusionary World

Saurabh Srivastava

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