Multilabel learning has become a relevant learning paradigm in the past years due to the
increasing number of fields where it can be applied and also to the emerging number of …

Multi‐label learning is quite a recent supervised learning paradigm. Owing to its capabilities
to improve performance in problems where a pattern may have more than one associated …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Objective Clinical data mining is the application of data mining techniques using clinical
data. We review the literature in order to provide a general overview by identifying the status …

Abstract Clinical Named Entity Recognition (Clinical-NER), which aims at identifying and
classifying clinical named entities into predefined categories, is a critical pre-processing task …

Patients' health related information is stored in electronic health records (EHRs) by health
service providers. These records include sequential documentation of care episodes in the …

High amount of relevant information is contained in reports stored in the electronic patient
records and associated metadata. R-oogle is a project aiming at develo** information …

Characteristics of Patient Records and Clinical Corpora Page 1 Chapter 4 Characteristics of
Patient Records and Clinical Corpora This chapter will describe the characteristics of patient …

Abstract Background The Canadian Community Health Survey (CCHS) is a cross-sectional
survey that has collected information on health determinants, health status and the utilization …

We survey clinical document corpora, with focus on German textual data. Due to rigid data
privacy legislation in Germany these resources, with only few exceptions, are stored in safe …