AIMC Topic:
Data Mining

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Development of text mining based classification of written communication within a telemedical collaborative network.

Studies in health technology and informatics
Chronic diseases like Heart Failure are widespread in the ageing population. Affected patients can be treated with the aid of a disease management program, including a telemedical collaborative network. Evaluation of a currently used system has shown...

Semantic retrieval and navigation in clinical document collections.

Studies in health technology and informatics
Patients with chronic diseases undergo numerous in- and outpatient treatment periods, and therefore many documents accumulate in their electronic records. We report on an on-going project focussing on the semantic enrichment of medical texts, in orde...

Assisting e-patients in an Ask the Doctor Service.

Studies in health technology and informatics
Ask the doctor services are personalized forums allowing patients to ask questions directly to doctors. Usually, patients must choose the most appropriate category for their question among lots of categories to be redirected to the most relevant phys...

A recommender system for medical imaging diagnostic.

Studies in health technology and informatics
The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical...

Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics.

Studies in health technology and informatics
Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis ...

Enrich classifications in psychiatry with textual data: an ontology for psychiatry including social concepts.

Studies in health technology and informatics
We propose a modular approach to develop an ontology of psychiatry, ONTOPSYCHIA, based on Patient Discharges Summaries (PDS) and divided into three modules (i.e. social, mental disorders and treatments). We decided to take into account the social asp...

A methodology for mining clinical data: experiences from TRANSFoRm project.

Studies in health technology and informatics
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical...

Health consumer-oriented information retrieval.

Studies in health technology and informatics
While patients can freely access their Electronic Health Records or online health information, they may not be able to correctly understand the content of these documents. One of the challenges is related to the difference between expert and non-expe...

Content based image retrieval using local binary pattern operator and data mining techniques.

Studies in health technology and informatics
Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, c...

Synthesizing analytic evidence to refine care pathways.

Studies in health technology and informatics
Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care pathways into practice, clinical institutions always need to adapt them based on local care settings so ...