AIMC Topic: Machine Learning

Clear Filters Showing 32651 to 32660 of 34417 articles

Does BERT need domain adaptation for clinical negation detection?

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
INTRODUCTION: Classifying whether concepts in an unstructured clinical text are negated is an important unsolved task. New domain adaptation and transfer learning methods can potentially address this issue.
Datasets as Topic Machine Learning Information Storage and Retrieval Algorithms Natural Language Processing Medical Records Humans Neural Networks, Computer
View on PubMed DOI

Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Anesthesiology Apr 1, 2020
BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language process...
Female Humans Young Adult Databases, Factual Neural Networks, Computer Adult Child, Preschool Electronic Health Records Machine Learning Child Male Current Procedural Terminology Middle Aged Adolescent
View on PubMed DOI

Depression screening using mobile phone usage metadata: a machine learning approach.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, th...
Sensitivity and Specificity Severity of Illness Index Depression Surveys and Questionnaires Mobile Applications Logistic Models Machine Learning Algorithms Adult Depressive Disorder Humans Area Under Curve Cell Phone Use Neural Networks, Computer Telemedicine
View on PubMed DOI

ESMRMB Round Table report on "Can Europe Lead in Machine Learning of MRI-Data?".

Magma (New York, N.Y.) Apr 1, 2020
United States Magnetic Resonance Imaging Privacy China Image Processing, Computer-Assisted European Union Humans Machine Learning Prognosis Diagnosis, Computer-Assisted
View on PubMed DOI

Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy.

AIDS (London, England) Apr 1, 2020
OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal HIV (pHIV).
Algorithms Pregnancy Female Humans Machine Learning Cognition CD4 Lymphocyte Count Psychomotor Performance Parturition Infectious Disease Transmission, Vertical Executive Function HIV Infections Child, Preschool Child Mental Health Male
View on PubMed DOI

Using deep learning to associate human genes with age-related diseases.

Bioinformatics (Oxford, England) Apr 1, 2020
MOTIVATION: One way to identify genes possibly associated with ageing is to build a classification model (from the machine learning field) capable of classifying genes as associated with multiple age-related diseases. To build this model, we use a pr...
Machine Learning Aging Deep Learning Humans Neural Networks, Computer Gene Ontology
View on PubMed DOI

Formal axioms in biomedical ontologies improve analysis and interpretation of associated data.

Bioinformatics (Oxford, England) Apr 1, 2020
MOTIVATION: Over the past years, significant resources have been invested into formalizing biomedical ontologies. Formal axioms in ontologies have been developed and used to detect and ensure ontology consistency, find unsatisfiable classes, improve ...
Knowledge Bases Biological Ontologies Gene Ontology Machine Learning
View on PubMed DOI

Antibody complementarity determining region design using high-capacity machine learning.

Bioinformatics (Oxford, England) Apr 1, 2020
MOTIVATION: The precise targeting of antibodies and other protein therapeutics is required for their proper function and the elimination of deleterious off-target effects. Often the molecular structure of a therapeutic target is unknown and randomize...
Complementarity Determining Regions Humans Machine Learning Antibodies
View on PubMed DOI

Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions.

Molecular biology and evolution Apr 1, 2020
Each influenza pandemic was caused at least partly by avian- and/or swine-origin influenza A viruses (IAVs). The timing of and the potential IAVs involved in the next pandemic are currently unpredictable. We aim to build machine learning (ML) models ...
Viral Proteins Adaptation, Biological Machine Learning Influenza A virus Host-Pathogen Interactions Humans
View on PubMed DOI

Prediction of mutation effects using a deep temporal convolutional network.

Bioinformatics (Oxford, England) Apr 1, 2020
MOTIVATION: Accurate prediction of the effects of genetic variation is a major goal in biological research. Towards this goal, numerous machine learning models have been developed to learn information from evolutionary sequence data. The most effecti...
Software Mutation Sequence Alignment Neural Networks, Computer Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals