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Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary. This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, w...
Exploring Data Using R introduces readers to R and RStudio to make data exploration fast, fluid and fun. This book is suitable for readers with no previous R programming experience. It aims to get the readers to analyse data as quickly as possible. Authors Kamarul Imran Musa and Wan Nor Arifin Wan Mansor guide through three main steps in data exploration: data management, descriptive statistics and visual exploration. Readers will get a quick understanding and easy-to-use guides, along with the basic tools needed to use R in the RStudio IDE for efficient data exploration. Readers will learn how to: Install R and RStudio ,Manage data – turn datasets into formats convenient for analysis ,Describe data – for one and two variables and cross-tabulation ,Explore the data visually – create plots using popular R packages, for example, ggplot and lattice
In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.
This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare. This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area. This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.
Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and human-information interaction. This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments. By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty.
All-natural reproductive wellness remedies for the modern herbalist: an inclusive guide to making herbal infusions, tinctures, oils, and powders to enhance pleasure and sexual health. In an empowering, accessible, and inclusive guide, herbalist Marie White shows readers of all genders how to enhance sexual and reproductive health through plant medicine. A must-have for those looking to revitalize intimacy with the special touch of medicinal herbs--and a few selected seaweed and fungi--The Intimate Herbal includes tried-and-tested protocols rooted in an intersectional, non-binary approach to holistic health, herbal healing, and supporting the body through physical stress. Readers will learn h...
Kesihatan Wanita pada Usia Emas: Kenyataan dan Harapan menghuraikan dengan lebih mendalam isu dan cabaran berkaitan peningkatan bilangan warga emas, terutamanya dalam kalangan kaum wanita iaitu di peringkat pramenopaus, menopaus dan pascamenopaus. Kupasan ini membolehkan kaum wanita memahami semua aspek kesihatan menjelang usia emas dan bersedia untuk mengambil langkah-langkah yang dapat meningkatkan taraf kesihatan mereka. Satu daripada tumpuan utama wanita di usia emas adalah untuk kekal sihat seboleh yang mungkin, kerana keadaan ini menentukan kebebasan dan kualiti hidup yang bermakna bagi seorang wanita apabila usia semakin meningkat. Kandungan dan persembahan buku ini adalah padat, mant...
Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary. This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, w...
The guideline covers interventions in the acute stage of a stroke or transient ischaemic attack, within the first 48 hours up to two weeks.