Atnaujinkite slapukų nuostatas

El. knyga: Process Mining Techniques for Managing and Improving Healthcare Systems

  • Formatas: 214 pages
  • Išleidimo metai: 26-Jun-2023
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781000898576
  • Formatas: 214 pages
  • Išleidimo metai: 26-Jun-2023
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781000898576

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction.

Process Mining Techniques for Managing and Improving Healthcare Systems offers a new framework for process learning which is probabilistic and enables the process to be learned in an accumulative manner. The steps of prediction modeling and building the required knowledge are highlighted throughout the book, along with a strong emphasis on the correlation between the healthcare domain and technology including the different aspects, such as: managing records, information, and procedures; early detection of diseases; and the improvement of accuracy in choosing the right treatment procedures.

This reference provides a wealth of knowledge for practitioners, researchers, and students at the basic and intermediary levels working within the healthcare system, computer science, electronics and communications, as well as medical providers and also hospital management entities.



This book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction.

1. Healthcare System.
2. Data Mining and Management Information Systems.
3. Process Mining and Big Data in Healthcare.
4. The Proposed Algorithm for
Healthcare Systems.
5. Building a Hospital Management Platform.
6. The
Advantages of Using the MYL Platform.
Maha Zayoud was born in Damascus, Syria, in 1985. She holds PHD degree in the field of industrial engineering from Politehnica University of Bucharest, Romania. B.S. and M.S. degrees in computer engineering from Kuwait University, Kuwait. She is currently with the Department of Computer Engineering, at the College of Engineering and Technology, the American University of the Middle East, Kuwait. Her research interests include machine learning, data and process mining, big data, industrial management systems, and intelligent engineering designs.