AIMC Topic: Machine Learning

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A new approach for cleansing geographical dataset using Levenshtein distance, prior knowledge and contextual information.

Studies in health technology and informatics
Epidemiological studies are necessary to take public health decisions. Their relevance depends on the quality of data. Doctors in continuous care collect a big amount of data that can be used for epidemiological purpose, but spatial data may be dirty...

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 ...

A connecting system for cardiological lexicons.

Studies in health technology and informatics
The purpose of this paper is to present the approach and the development of a software application ("lexicons connecting" system) to correlate effectively and unambiguously the correspondence between the specialist medical vocabulary and the familiar...

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

Studies in health technology and informatics
Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical ...

A lazy learning-based QSAR classification study for screening potential histone deacetylase 8 (HDAC8) inhibitors.

SAR and QSAR in environmental research
Histone deacetylases 8 (HDAC8) is an enzyme repressing the transcription of various genes including tumour suppressor gene and has already become a target of human cancer treatment. In an effort to facilitate the discovery of HDAC8 inhibitors, two qu...

Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype.

Studies in health technology and informatics
The aim of this research is to develop a novel GA-ANFIS expert system prototype for classifying heart disease degree of a patient by using heart diseases attributes (features) and diagnoses taken in the real conditions. Thirteen attributes have been ...

Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals.

Studies in health technology and informatics
Machine learning algorithms play an important role in computer science research. Recent advancement in sensor data collection in clinical sciences lead to a complex, heterogeneous data processing, and analysis for patient diagnosis and prognosis. Dia...