AIMC Topic: Terminology as Topic
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A pre-training and self-training approach for biomedical named entity recognition.
PloS one
Feb 9, 2021
Named entity recognition (NER) is a key component of many scientific literature mining tasks, such as information retrieval, information extraction, and question answering; however, many modern approaches require large amounts of labeled training dat...
A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
In the electronic health record, the majority of clinically relevant information is stored within clinical notes. Most clinical notes follow a set organizational structure composed of canonicalized section headers that facilitate clinical review and ...
A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
A network-based machine-learning framework to identify both functional modules and disease genes.
Human genetics
Jan 7, 2021
Disease gene identification is a critical step towards uncovering the molecular mechanisms of diseases and systematically investigating complex disease phenotypes. Despite considerable efforts to develop powerful computing methods, candidate gene ide...
Predictive Value of Tests
Metabolic Networks and Pathways
Neurodegenerative Diseases
Supervised Machine Learning
Neoplasms
Gene Regulatory Networks
Computational Biology
Terminology as Topic
Gastrointestinal Diseases
Protein Interaction Mapping
Immune System Diseases
Amino Acid Sequence
Musculoskeletal Diseases
Metabolic Diseases
Humans
Mental Disorders
Learning and interpreting the gene regulatory grammar in a deep learning framework.
PLoS computational biology
Nov 2, 2020
Deep neural networks (DNNs) have achieved state-of-the-art performance in identifying gene regulatory sequences, but they have provided limited insight into the biology of regulatory elements due to the difficulty of interpreting the complex features...
[Explore the history of artificial intelligence, to better define and understand it].
Medecine sciences : M/S
Oct 7, 2020
LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.
International journal of molecular sciences
Oct 1, 2020
Recent studies uncover that subcellular location of long non-coding RNAs (lncRNAs) can provide significant information on its function. Due to the lack of experimental data, the number of lncRNAs is very limited, experimentally verified subcellular l...
One Algorithm May Not Fit All: How Selection Bias Affects Machine Learning Performance.
Radiographics : a review publication of the Radiological Society of North America, Inc
Sep 25, 2020
Machine learning (ML) algorithms have demonstrated high diagnostic accuracy in identifying and categorizing disease on radiologic images. Despite the results of initial research studies that report ML algorithm diagnostic accuracy similar to or excee...
Ontology and values anchor indigenous and grey nomenclatures: a case study in lichen naming practices among the SamÃ, Sherpa, Scots, and Okanagan.
Studies in history and philosophy of biological and biomedical sciences
Sep 10, 2020
Ethnobotanical research provides ample justification for comparing diverse biological nomenclatures and exploring ways that retain alternative naming practices. However, how (and whether) comparison of nomenclatures is possible remains a subject of d...
Detecting modeling inconsistencies in SNOMED CT using a machine learning technique.
Methods (San Diego, Calif.)
May 20, 2020
SNOMED CT is a comprehensive and evolving clinical reference terminology that has been widely adopted as a common vocabulary to promote interoperability between Electronic Health Records. Owing to its importance in healthcare, quality assurance becom...
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