AIMC Topic: Pattern Recognition, Automated

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Applying machine learning to gait analysis data for disease identification.

Studies in health technology and informatics
A machine-learning framework to identify the specific disease afflicting certain patients diagnosed with Neurological and Neuromuscular Diseases (NND) or Juvenile Idiopathic Arthritis (JIA) using only gait analysis data is presented. Classifying such...

Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation.

Studies in health technology and informatics
Reasoning conducted in clinical practice is manifested through different and often combined reasoning and learning strategies, adjusted to the characteristics of the available information, the medical professional's experience and skills, and the ava...

Sharing models and tools for processing German clinical texts.

Studies in health technology and informatics
The automatic processing of non-English clinical documents is massively hampered by the lack of publicly available medical language resources for training, testing and evaluating NLP components. We suggest sharing statistical models derived from acce...

Acquisition of Character Translation Rules for Supporting SNOMED CT Localizations.

Studies in health technology and informatics
Translating huge medical terminologies like SNOMED CT is costly and time consuming. We present a methodology that acquires substring substitution rules for single words, based on the known similarity between medical words and their translations, due ...

Dynamic feature selection applied to the recognition of grasping movements in the control of bioprosthetic hand.

Studies in health technology and informatics
The paper presents novel method of dynamic feature selection (DFS) and its application in the problem of recognition of patient intent in the bioprosthesis control system. In the proposed approach features are selected dynamically, i.e. separately fo...

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 ...

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...

Identifying redundant and missing relations in the gene ontology.

Studies in health technology and informatics
Significant efforts have been undertaken for providing the Gene Ontology (GO) in a computable format as well as for enriching it with logical definitions. Automated approaches can thus be applied to GO for assisting its maintenance and for checking i...

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...