Titlebook: Interactive Process Mining in Healthcare; Carlos Fernandez-Llatas Book 2021 Springer Nature Switzerland AG 2021 Machine Learning.Clinical

細(xì)微的差異

Towards Open Process Models in Healthcare: Open Standards and Legal Considerations be understood across different organizations, only then, effective mining of data to produce new knowledge can be performed. In this chapter we present the developments in the open standard openEHR that allow to specify clinical information in standard -compliant manner so it can be shared and understood across organizational boundaries.

合群

Intend

旋轉(zhuǎn)一周

Book 2021.?..Interactive Process Mining in Healthcare.?comprehensively covers how?machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.??.

憤世嫉俗者

Interactive Process Mining in Surgery with Real Time Location Systems: Interactive Trace CorrectionEdit Distance framework, to correct the data and obtain an insight of the executed process. This method was tested in a surgical area of a hospital in spain using the existing RTLS infrastructure deployed in that environment with 3915 patients collected between March 2012 and May 2013.

Intellectual

茁壯成長(zhǎng)

Applying Interactive Process Mining Paradigm in Healthcare Domaine health field. This framework promotes a data-driven approach, as in machine learning techniques, but offering a human understandable view like knowledge-driven techniques, mixing the best parts of both worlds.

Affluence

annexation

WAIL

Interactive Process Mining-Induced Change Management Methodology for Healthcarehange culture is essential for the successful implementation of any supporting methods like Interactive Process Mining. It needs to incorporate (mostly) new ways of team-based and evidence-based approaches for solving structural problems in a digital healthcare environment.