AIMC Topic: Machine Learning

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Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.

Neural networks : the official journal of the International Neural Network Society
Resting state functional Magnetic Resonance Imaging (rs-fMRI) is increasingly used for the identification of image biomarkers of brain diseases or psychiatric conditions such as schizophrenia. This paper deals with the application of ensembles of Ext...

Assessment of surveys for the management of hospital clinical pharmacy services.

Artificial intelligence in medicine
OBJECTIVE: Survey data sets are important sources of data, and their successful exploitation is of key importance for informed policy decision-making. We present how a survey analysis approach initially developed for customer satisfaction research in...

Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.

Journal of chemical theory and computation
Chemically accurate and comprehensive studies of the virtual space of all possible molecules are severely limited by the computational cost of quantum chemistry. We introduce a composite strategy that adds machine learning corrections to computationa...

Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization.

Physiological measurement
The most common approach to assess fetal well-being during delivery is monitoring of fetal heart rate and uterine contractions-the cardiotocogram (CTG). Nevertheless, 40 years since the introduction of CTG to clinical practice, its evaluation is stil...

Briefing in application of machine learning methods in ion channel prediction.

TheScientificWorldJournal
In cells, ion channels are one of the most important classes of membrane proteins which allow inorganic ions to move across the membrane. A wide range of biological processes are involved and regulated by the opening and closing of ion channels. Ion ...

SimConcept: a hybrid approach for simplifying composite named entities in biomedical text.

IEEE journal of biomedical and health informatics
One particular challenge in biomedical named entity recognition (NER) and normalization is the identification and resolution of composite named entities, where a single span refers to more than one concept (e.g., BRCA1/2). Previous NER and normalizat...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

PLoS computational biology
The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector ce...

Multi-focus cluster labeling.

Journal of biomedical informatics
Document collections resulting from searches in the biomedical literature, for instance, in PubMed, are often so large that some organization of the returned information is necessary. Clustering is an efficient tool for organizing search results. To ...

Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions.

IEEE transactions on cybernetics
The desire to reconstruct 3-D face models with expressions from 2-D face images fosters increasing interest in addressing the problem of face modeling. This task is important and challenging in the field of computer animation. Facial contours and wri...