Big Data, Big Challenges

Big Data, Big Challenges

 

208,23 €
IVA incluido
Consulta disponibilidad
Editorial:
Springer Nature B.V.
Año de edición:
2019
Materia
Medicina: cuestiones generales
ISBN:
9783030061081

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.

Artículos relacionados

  • 48 Recettes de Repas pour l'élimination de l'acné
    Joe Correa
    48 Recettes de Repas pour ’élimination de l’acné : La voie rapide et naturelle de correction des problèmes d'acné en 10 jours ou moins! Par Joe Correa CSN   Ces recettes vous aideront à avoir un système immunitaire plus fort grâce à une variété de vitamines et de nutriments. Environ 20 pour cent de toutes les personnes souffrent d'acné pendant 20 et 30 ans, et la cau...
    Disponible

    20,65 €

  • 54 Ricette per diabetici per controllare la tua condizione, naturalmente
    Joe Correa
    54 Ricette Per Diabetici Per Controllare La Tua Condizione, Naturalmente: Scelte Alimentari Sane Per Tutti I DiabeticiDi Joe Correa CSN Il diabete si verifica a causa della incapacità del pancreas di produrre insulina. Il diabete di tipo 1 è classificato come una malattia autoimmune. È una condizione in cui il sistema immunitario dell'organismo 'attacca' i propri tessuti e ...
    Disponible

    22,29 €

  • Ubiquitous Cardiology
    Piotr Augustyniak / Ryszard Tadeusiewicz
    The Internet and other technological developments are now playing increasing roles in consumer health and the delivery of health services. Ubiquitous Cardiology: Emerging Wireless Telemedical Applications provides developmental solutions and explanations for cardiovascular diagnostics. Useful to field researchers, academicians, and healthcare practitioners, this Premier Referen...
  • Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine
    Quality of life is difficult to define and even more difficult to measure; as such, outcomes from nursing in continuing care are not easily articulated. Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine: Technologies and Processes offers a framework for measuring quality of service in the healthcare industry as it pertains to nursing, with insi...
  • Exploring the Pressures of Medical Education From a Mental Health and Wellness Perspective
    Christina Ramirez Smith
    Discussions surrounding mental health are becoming more prominent and these conditions are becoming less stigmatized. Studying the effects that mental wellness has on students within the medical field can provide an insider perspective on this critical topic. Exploring the Pressures of Medical Education From a Mental Health and Wellness Perspective is a critical reference sourc...
  • Electrocardiogram Signal Classification and Machine Learning
    Sara Moein
    Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders. Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classificati...