AIMC Topic: Machine Learning

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Striking the Right Balance-Applying Machine Learning to Pediatric Critical Care Data.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Jul 1, 2018
Humans Child Machine Learning Critical Care
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Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Biological knowledge is widely represented in the form of ontology-based annotations: ontologies describe the phenomena assumed to exist within a domain, and the annotations associate a (kind of) biological entity with a set of phenomena ...
Gene Ontology Humans Semantics Machine Learning Saccharomyces cerevisiae Protein Interaction Maps Computational Biology Software
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Discriminating early- and late-stage cancers using multiple kernel learning on gene sets.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Identifying molecular mechanisms that drive cancers from early to late stages is highly important to develop new preventive and therapeutic strategies. Standard machine learning algorithms could be used to discriminate early- and late-sta...
Humans Machine Learning Neoplasms Gene Expression Profiling Neoplasm Staging Female Sequence Analysis, RNA Genome, Human Male Support Vector Machine Metabolic Networks and Pathways
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A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens....
Anti-Bacterial Agents Machine Learning Whole Genome Sequencing Drug Resistance, Bacterial Escherichia coli Genome, Bacterial
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The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine.

Heart (British Cardiac Society) Jul 1, 2018
Artificial Intelligence Machine Learning
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Toward the "Plateau of Productivity": Enhancing the Value of Machine Learning in Critical Care.

Critical care medicine Jul 1, 2018
Intensive Care Units Critical Care Humans Machine Learning Algorithms
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New tools for MHC research from machine learning and predictive algorithms to the tumour immunopeptidome.

Immunology Jul 1, 2018
At a time when immunology seeks to progress ever more rapidly from characterization of a microbial or tumour antigen to the immune correlates that may define protective T-cell immunity, there is a need for robust tools to enable accurate predictions ...
Cancer Vaccines Immunotherapy, Adoptive Major Histocompatibility Complex Epitopes, T-Lymphocyte Peptides T-Lymphocytes Neoplasms Machine Learning Research Humans
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Potentiality of deep learning application in healthcare.

Computer methods and programs in biomedicine Jul 1, 2018
Delivery of Health Care Diagnosis, Computer-Assisted Machine Learning Algorithms Humans Neural Networks, Computer
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Teaching cardiovascular medicine to machines.

Cardiovascular research Jul 1, 2018
Humans Cardiovascular Diseases Hemodynamics Diagnosis, Computer-Assisted Machine Learning Prognosis Therapy, Computer-Assisted Models, Cardiovascular Patient-Specific Modeling Diffusion of Innovation Ventricular Remodeling
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Male Middle Aged Risk Assessment Follow-Up Studies Electronic Health Records Humans Patient Readmission Female Machine Learning Time Factors Critical Illness Illinois ROC Curve Retrospective Studies Intensive Care Units
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