AIMC Topic: Datasets as Topic

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Clinical concept extraction using transformers.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The goal of this study is to explore transformer-based models (eg, Bidirectional Encoder Representations from Transformers [BERT]) for clinical concept extraction and develop an open-source package with pretrained clinical models to facili...
Deep Learning Natural Language Processing Data Mining Software Electronic Health Records Humans Datasets as Topic
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Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine learning approach, using both structured and unstructured features as input, to predict a continuou...
Surgical Procedures, Operative Operating Rooms Reproducibility of Results Operative Time Natural Language Processing Datasets as Topic Models, Statistical Neural Networks, Computer Machine Learning Forecasting Humans
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Potential of Artificial Intelligence for Estimating Japanese Fetal Weights.

Acta medica Okayama Dec 1, 2020
We developed an artificial intelligence (AI) method for estimating fetal weights of Japanese fetuses based on the gestational weeks and the bi-parietal diameter, abdominal circumference, and femur length. The AI comprised of neural network architectu...
Datasets as Topic Gestational Age Fetal Weight Asian People Japan Humans Pregnancy Ultrasonography, Prenatal Deep Learning Female
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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 Computational Biology Cell Communication Clinical Decision-Making
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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...
Patient Discharge Summaries Unified Medical Language System Natural Language Processing Datasets as Topic Humans Information Storage and Retrieval Deep Learning
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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.
Semantics Unified Medical Language System Medical Errors Risk Management Datasets as Topic Humans Support Vector Machine Patient Safety Natural Language Processing
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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...
Datasets as Topic Dimerization Algorithms Bacteria Bacterial Proteins Virulence Factors Proteome Amino Acid Sequence Support Vector Machine
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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...
Internet Datasets as Topic Lysine Histone Deacetylases Acetylation Humans Neoplasms Deep Learning
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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...
ErbB Receptors Mutation Datasets as Topic Machine Learning Humans Models, Theoretical
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Biased intelligence: on the subjectivity of digital objectivity.

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