{"product_id":"9781032097169-demystifying-big-data-machine-learning","title":"Demystifying Big Data and Machine Learning for Healthcare","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eHealthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health s\u003c\/p\u003e. \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eHealthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.\u003c\/p\u003e\n\u003cp\u003eDemystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to:\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eDevelop skills needed to identify and demolish big-data myths\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eBecome an expert in separating hype from reality\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eUnderstand the V’s that matter in healthcare and why\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eHarmonize the 4 C’s across little and big data\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eChoose data fi delity over data quality\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eLearn how to apply the NRF Framework \u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eMaster applied machine learning for healthcare\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eConduct a guided tour of learning algorithms\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eRecognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs)\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eThe variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care\/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":40810268262497,"sku":"9781032097169","price":34.51,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/20abde57887fa65508c66f35ce67ca4b.png?v=1682674900","url":"https:\/\/www.rarewaves.com\/products\/9781032097169-demystifying-big-data-machine-learning","provider":"Rarewaves.com","version":"1.0","type":"link"}