Negative sequential patterns (NSP) refer to sequences with non-occurring and occurring items, and can play an irreplaceable role in understanding and addressing many business applications. However, some problems occur after mining NSP, the most urgent one of which is how to select the actionable positive or negative sequential patterns. This is due to the following factors: 1) positive sequenti...

BACKGROUND Approximately 5 to 10% of critically ill patients transition from acute critical illness to a state of persistent and in some cases chronic critical illness. These patients have unique and complex needs that require a change in the clinical management plan and overall goals of care to a focus on rehabilitation, symptom relief, discharge planning, and in some cases, end-of-life care. ...

The ability to analyze data quickly and transform it into actionable information is vital for information superiority. However, the amount of available data is increasing and the time to make decisions is decreasing. There is too much data for humans to sift through and filter for decision making, so computer automation is necessary. The Extensible Markup Language (XML) offers a partial solutio...

In ABC v. St Georges Healthcare NHS Trust, the High Court of England and Wales rejected the argument that doctors have a legal duty to disclose actionable genetic risks to a patient's relatives. This article reconsiders the concept of a duty to disclose actionable genetic risks in the context of widening perceptions of legal harm and developing professional and public perceptions of correspondi...

Actionable analytics are those that humans can understand, and operationalize. What kind of data mining models generate such actionable analytics? According to psychological scientists, humans understand models that most match their own internal models, which they characterize as lists of “heuristic” (i.e., lists of very succinct rules). One such heuristic rule generator is the Fast-andFrugal T...

The Web has become a source of information and knowledge accessed through search engines and various mining tools. In addition, it has become a platform on which not only software but also human users participate in and interact for various tasks. In an effort to mine actionable knowledge from the Web associated with various objects, we devised a text mining method specifically for extracting t...

Clustering is a widely-used data mining tool, which aims to discover groups of similar items in data. We introduce a new clustering paradigm, actionable clustering, that enables the discovery of population trends. Unlike previous clustering paradigms that aim to understand relationships amongst the individual members, the goal of actionable clustering is to uncover trends at the populations lev...

introduction: an article with a clear message can transfer research knowledge better. however, this is the case when the message suits the type of  study methodology (research design) and its results. the objective of  this study was to assess the presence of  message articles and the type of  study methodologies. methods: articles published between 2001 and 2006, on maternal care, diabetes, an...