AIMC Topic: Datasets as Topic

Clear Filters Showing 971 to 980 of 1105 articles

Artificial intelligence and the hunt for immunological disorders.

Current opinion in allergy and clinical immunology Dec 1, 2020
PURPOSE OF REVIEW: Artificial intelligence has pervasively transformed many industries and is beginning to shape medical practice. New use cases are being identified in subspecialty domains of medicine and, in particular, application of artificial in...
Humans Artificial Intelligence Machine Learning Vaccines Datasets as Topic Immune System Diseases Clinical Decision-Making Computational Biology Cell Communication
View on PubMed DOI

The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task track 3, focused on medical concept normalization (MCN) in clinical records. This track aimed to assess the state of the art...
Humans Information Storage and Retrieval Unified Medical Language System Patient Discharge Summaries Deep Learning Natural Language Processing Datasets as Topic
View on PubMed DOI

Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
Humans Patient Safety Semantics Support Vector Machine Natural Language Processing Unified Medical Language System Risk Management Medical Errors Datasets as Topic
View on PubMed DOI

Predicting bacterial virulence factors - evaluation of machine learning and negative data strategies.

Briefings in bioinformatics Sep 25, 2020
Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose only obvious commonality is the very property of being, more or less directly, involved in virulence. It is therefore tempting to speculate whether their...
Amino Acid Sequence Datasets as Topic Dimerization Algorithms Bacteria Proteome Support Vector Machine Bacterial Proteins Virulence Factors
View on PubMed DOI

Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.

Briefings in bioinformatics Sep 25, 2020
Protein lysine acetylation regulation is an important molecular mechanism for regulating cellular processes and plays critical physiological and pathological roles in cancers and diseases. Although massive acetylation sites have been identified throu...
Humans Neoplasms Deep Learning Lysine Histone Deacetylases Internet Datasets as Topic Acetylation
View on PubMed DOI

TMLRpred: A machine learning classification model to distinguish reversible EGFR double mutant inhibitors.

Chemical biology & drug design Sep 1, 2020
The EGFR is a clinically important therapeutic drug target in lung cancer. The first-generation tyrosine kinase inhibitors used in clinics are effective against L858R-mutated EGFR. However, relapse of the disease due to the presence of resistant muta...
Mutation Datasets as Topic ErbB Receptors Humans Machine Learning Models, Theoretical
View on PubMed DOI

Biased intelligence: on the subjectivity of digital objectivity.

BMJ health & care informatics Aug 1, 2020
Bias Privacy Datasets as Topic Biomedical Technology Humans Artificial Intelligence Decision Making
View on PubMed DOI

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Humans Neural Networks, Computer Support Vector Machine Decision Trees Coronavirus Infections Software Algorithms Bayes Theorem Datasets as Topic Pandemics ROC Curve Pneumonia, Viral COVID-19 Logistic Models
View on PubMed DOI

Decoding spectro-temporal representation for motor imagery recognition using ECoG-based brain-computer interfaces.

Journal of integrative neuroscience Jun 30, 2020
One of the challenges in brain-computer interface systems is obtaining motor imagery recognition from brain activities. Brain-signal decoding robustness and system performance improvement during the motor imagery process are two of the essential issu...
Pattern Recognition, Automated Brain-Computer Interfaces Motor Activity Cerebral Cortex Humans Support Vector Machine Electrocorticography Adult Signal Processing, Computer-Assisted Imagination Datasets as Topic
View on PubMed DOI

Prediction of condition-specific regulatory genes using machine learning.

Nucleic acids research Jun 19, 2020
Recent advances in genomic technologies have generated data on large-scale protein-DNA interactions and open chromatin regions for many eukaryotic species. How to identify condition-specific functions of transcription factors using these data has bec...
Arabidopsis Proteins Arabidopsis Single-Cell Analysis Genes, Regulator Transcription Factors RNA-Seq Promoter Regions, Genetic Machine Learning Gene Regulatory Networks Datasets as Topic Gene Expression Regulation, Plant Gene Expression Profiling Stress, Physiological Genes, Plant Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals