[HTML][HTML] Adoption of clinical decision support in multimorbidity: a systematic review
Background: Patients with multiple conditions have complex needs and are increasing in
number as populations age. This multimorbidity is one of the greatest challenges facing …
number as populations age. This multimorbidity is one of the greatest challenges facing …
Ten years of knowledge representation for health care (2009–2018): Topics, trends, and challenges
Background In the last ten years, the international workshop on knowledge representation
for health care (KR4HC) has hosted outstanding contributions of the artificial intelligence in …
for health care (KR4HC) has hosted outstanding contributions of the artificial intelligence in …
Supporting healthcare management decisions via robust clustering of event logs
Business processes constitute an essential asset of organizations while the related process
models help to better comprehend the process and therefore to enable effective process …
models help to better comprehend the process and therefore to enable effective process …
Leveraging data quality to better prepare for process mining: an approach illustrated through analysing road trauma pre-hospital retrieval and transport processes in …
While noting the importance of data quality, existing process mining methodologies (i) do not
provide details on how to assess the quality of event data (ii) do not consider how the …
provide details on how to assess the quality of event data (ii) do not consider how the …
[HTML][HTML] Process mining-driven analysis of COVID-19's impact on vaccination patterns
A Augusto, T Deitz, N Faux… - Journal of Biomedical …, 2022 - Elsevier
Process mining is a discipline sitting between data mining and process science, whose goal
is to provide theoretical methods and software tools to analyse process execution data …
is to provide theoretical methods and software tools to analyse process execution data …
[图书][B] Encyclopedia of business analytics and optimization
J Wang - 2014 - books.google.com
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big
Data-volume, variety, velocity, volatility, and veracity-and focus these dimensions towards …
Data-volume, variety, velocity, volatility, and veracity-and focus these dimensions towards …
Towards event log querying for data quality: Let's start with detecting log imperfections
Process mining is, by now, a well-established discipline focussing on process-oriented data
analysis. As with other forms of data analysis, the quality and reliability of insights derived …
analysis. As with other forms of data analysis, the quality and reliability of insights derived …
[HTML][HTML] Issues associated with the use of semantic web technology in knowledge acquisition for clinical decision support systems: systematic review of the literature
Background: Knowledge-based clinical decision support system (KB-CDSS) can be used to
help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge …
help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge …
Survey on Knowledge Representation Models in Healthcare.
Abstract Knowledge representation models that aim to present data in a structured and
comprehensible manner have gained popularity as a research focus in the pursuit of …
comprehensible manner have gained popularity as a research focus in the pursuit of …
Object-aware process support in healthcare information systems: requirements, conceptual framework and examples
The business processes to be supported by healthcare information systems are highly
complex, producing and consuming a large amount of data. Besides, the execution of these …
complex, producing and consuming a large amount of data. Besides, the execution of these …