BOOKS - Applications of Big Data in Healthcare: Theory and Practice
Applications of Big Data in Healthcare: Theory and Practice - Ashish Khanna March 12, 2021 PDF  BOOKS
ECO~21 kg CO²

3 TON

Views
72450

Telegram
 
Applications of Big Data in Healthcare: Theory and Practice
Author: Ashish Khanna
Year: March 12, 2021
Format: PDF
File size: PDF 7.3 MB



Pay with Telegram STARS
Applications of Big Data in Healthcare Theory and Practice Introduction: Big Data has revolutionized the way we approach healthcare, providing us with an unprecedented amount of information that can help us better understand patient needs, streamline operations, and improve overall outcomes. In this article, we will explore the theory and practice of applying Big Data in healthcare, highlighting the challenges and opportunities presented by this rapidly evolving field.
Применение больших данных в теории и практике здравоохранения Введение: Большие данные произвели революцию в подходе к здравоохранению, предоставив нам беспрецедентный объем информации, которая может помочь нам лучше понять потребности пациентов, оптимизировать операции и улучшить общие результаты. В этой статье мы рассмотрим теорию и практику применения больших данных в здравоохранении, подчеркнув проблемы и возможности, предоставляемые этой быстро развивающейся областью.
Application du Big Data dans la théorie et la pratique des soins de santé Introduction : Big Data a révolutionné l'approche des soins de santé en nous fournissant une quantité sans précédent d'informations qui peuvent nous aider à mieux comprendre les besoins des patients, à optimiser les opérations et à améliorer les résultats globaux. Dans cet article, nous allons discuter de la théorie et de la pratique de l'application du Big Data dans les soins de santé, en soulignant les défis et les opportunités offerts par ce domaine en évolution rapide.
Aplicación del Big Data en la Teoría y Práctica de la Salud Introducción: Big Data ha revolucionado el enfoque de la atención médica al proporcionarnos una cantidad sin precedentes de información que puede ayudarnos a comprender mejor las necesidades de los pacientes, optimizar las operaciones y mejorar los resultados generales. En este artículo examinaremos la teoría y la práctica de la aplicación del big data en la salud, destacando los desafíos y oportunidades que ofrece este campo en rápida evolución.
Aplicação de Big Data na Teoria e Prática da Saúde Introdução: Os grandes dados revolucionaram a abordagem da saúde, fornecendo-nos uma quantidade sem precedentes de informação que pode nos ajudar a compreender melhor as necessidades dos pacientes, otimizar as cirurgias e melhorar os resultados gerais. Neste artigo, vamos abordar a teoria e a prática dos grandes dados na saúde, enfatizando os problemas e as oportunidades oferecidos por esta área em rápido desenvolvimento.
Applicazione dei big data nella teoria e nella pratica sanitaria Introduzione: I big data hanno rivoluzionato l'approccio alla sanità, fornendoci una quantità senza precedenti di informazioni che possono aiutarci a comprendere meglio le esigenze dei pazienti, ottimizzare le operazioni e migliorare i risultati complessivi. In questo articolo esamineremo la teoria e la pratica dei big data nella sanità, sottolineando i problemi e le opportunità offerti da questo settore in rapida evoluzione.
Anwendung von Big Data in der Gesundheitstheorie und -praxis Einleitung: Big Data hat die Herangehensweise an das Gesundheitswesen revolutioniert und uns eine beispiellose Menge an Informationen zur Verfügung gestellt, die uns helfen können, die Bedürfnisse der Patienten besser zu verstehen, Operationen zu optimieren und die Gesamtergebnisse zu verbessern. In diesem Artikel werden wir die Theorie und Praxis der Anwendung von Big Data im Gesundheitswesen untersuchen und die Herausforderungen und Chancen dieses sich schnell entwickelnden Bereichs hervorheben.
Zastosowanie dużych danych do teorii i praktyki opieki zdrowotnej Wprowadzenie: Duże dane zrewolucjonizowały podejście do opieki zdrowotnej, dostarczając nam bezprecedensowej ilości informacji, które mogą pomóc nam lepiej zrozumieć potrzeby pacjentów, zoptymalizować operacje i poprawić ogólne wyniki. W tym artykule przyglądamy się teorii i praktyce zastosowań dużych danych w opiece zdrowotnej, podkreślając wyzwania i możliwości, jakie niesie ze sobą ta szybko rozwijająca się dziedzina.
יישום נתונים גדולים לתורת הבריאות ומבוא פרקטיקה: ביג דאטה חולל מהפכה בגישה לשירותי בריאות, סיפק לנו כמות חסרת תקדים של מידע שיכול לעזור לנו להבין טוב יותר את צרכי החולה, לייעל את הפעולות, ולשפר את התוצאות הכלליות. במאמר זה, אנו בוחנים את התיאוריה והפרקטיקה של יישומי נתונים גדולים בתחום הבריאות, ומדגישים את האתגרים וההזדמנויות שמציג תחום זה המתפתח במהירות.''
Sağlık Teorisine ve Uygulamasına Büyük Verilerin Uygulanması Giriş: Büyük Veri, hasta ihtiyaçlarını daha iyi anlamamıza, operasyonları optimize etmemize ve genel sonuçları iyileştirmemize yardımcı olabilecek benzeri görülmemiş miktarda bilgi sağlayarak sağlık hizmetlerine yaklaşımda devrim yarattı. Bu yazıda, hızla gelişen bu alanın sunduğu zorlukları ve fırsatları vurgulayarak, sağlık hizmetlerinde büyük veri uygulamalarının teori ve uygulamalarına bakıyoruz.
تطبيق البيانات الضخمة على نظرية الرعاية الصحية ومقدمة الممارسة: أحدثت البيانات الضخمة ثورة في نهج الرعاية الصحية، حيث زودتنا بكمية غير مسبوقة من المعلومات التي يمكن أن تساعدنا على فهم احتياجات المرضى بشكل أفضل، وتحسين العمليات، وتحسين النتائج الإجمالية. في هذا المقال، ننظر إلى نظرية وممارسة تطبيقات البيانات الضخمة في مجال الرعاية الصحية، مع تسليط الضوء على التحديات والفرص التي يوفرها هذا المجال سريع التطور.
건강 관리 이론 및 실습 소개에 빅 데이터 적용: 빅 데이터는 건강 관리에 대한 접근 방식을 혁신하여 환자의 요구를보다 잘 이해하고 수술을 최적화하며 전반적인 결과를 개선 할 수있는 전례없는 정보를 제공합니다. 이 기사에서는 빠르게 진화하는이 분야에서 제시된 도전과 기회를 강조하면서 건강 관리에서 빅 데이터 응용 프로그램의 이론과 실천을 살펴 봅니다.
大數據在健康理論和實踐中的應用介紹:大數據徹底改變了醫療保健方法,為我們提供了前所未有的信息,可以幫助我們更好地了解患者的需求,優化手術並改善整體結果。本文將探討大數據在醫療保健中的應用理論和實踐,強調這一快速發展的領域帶來的挑戰和機遇。

You may also be interested in:

AI and IoT Technology and Applications for Smart Healthcare Systems
Data Warehouse and Data Mining Concepts, techniques and real life applications
Data Warehouse and Data Mining Concepts, techniques and real life applications
Agile Data Science Building Data Analytics Applications with Hadoop
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
IoT, Machine Learning and Data Analytics for Smart Healthcare
IoT, Machine Learning and Data Analytics for Smart Healthcare
IoT, Machine Learning and Data Analytics for Smart Healthcare
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Soft Robots for Healthcare Applications Design, Modelling, and Control
Machine Learning and Analytics in Healthcare Systems Principles and Applications
Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications
Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks
Ultimate Big Data Analytics with Apache Hadoop Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python
Ultimate Big Data Analytics with Apache Hadoop Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python
Data Engineering and Data Science Concepts and Applications
Data Engineering and Data Science: Concepts and Applications
Big Data Technologies and Applications: 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings … Telecommunications Engineering B
Persistence Best Practices for Java Applications: Effective strategies for distributed cloud-native applications and data-driven modernization
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Medical Equipment Engineering: Design, manufacture and applications (Healthcare Technologies)
Smart Data Analytics: Mit Hilfe von Big Data Zusammenhange erkennen und Potentiale nutzen (De Gruyter Praxishandbuch) (German Edition)
Python for Data Analysis From the Beginner to Expert Crash Course 3.0 that will Change your Life as a Digital Programmer Thanks to the Minimalism of this Manual. Deep Machine Learning and Big Data
Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition
Health Analytics with R Learning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics
Big CPU, Big Data
Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud, Global Edition
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Big Data and Social Science Data Science Methods and Tools for Research and Practice, 2nd Edition
Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud
Data Analytics and Big Data
Cybersecurity and Data Science Innovations for Sustainable Development of HEICC Healthcare, Education, Industry, Cities, and Communities
The Enterprise Big Data Lake Delivering on the Promise of Hadoop and Data Science in the Enterprise
MEMS and Microfluidics in Healthcare: Devices and Applications Perspectives (Lecture Notes in Electrical Engineering Book 989)
Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies (ACM Books)
Intelligent Data Analysis for Biomedical Applications Challenges and Solutions (Intelligent Data-Centric Systems Sensor Collected Intelligence)
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV: Special Issue on Data Management - Principles, Technologies, and Applications (Lecture Notes in Computer Science Book 14160)
Synthetic Data for Deep Learning Generate Synthetic Data for Decision Making and Applications with Python and R