AI Medical Compendium Topic

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Terminology as Topic

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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 32976062
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...
Diagnostic Imaging Humans Machine Learning Selection Bias Terminology as Topic
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal of the American Medical Informatics Association : JAMIA 33029614
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Deep Learning Medical Subject Headings Natural Language Processing ROC Curve Semantics Terminology as Topic Unified Medical Language System
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[Explore the history of artificial intelligence, to better define and understand it].

Medecine sciences : M/S 33026335
Artificial Intelligence Biomedical Research Delivery of Health Care History, 20th Century History, 21st Century Humans Terminology as Topic
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LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.

International journal of molecular sciences 33019721
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...
Animals Base Sequence Benchmarking Cell Nucleus Computational Biology Cytoplasm Databases, Genetic Datasets as Topic Eukaryotic Cells Exosomes Gene Expression Regulation Genome, Human Humans Ribosomes RNA, Long Noncoding Software Support Vector Machine Terminology as Topic
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Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.

Journal of the American Medical Informatics Association : JAMIA 32940692
OBJECTIVE: We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient...
Dietary Supplements Knowledge Bases Natural Language Processing Terminology as Topic Unified Medical Language System
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Learning and interpreting the gene regulatory grammar in a deep learning framework.

PLoS computational biology 33137083
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...
Animals Binding Sites Computational Biology Computer Simulation Databases, Genetic Deep Learning Enhancer Elements, Genetic Gene Regulatory Networks Genes, Regulator Mice Models, Genetic Neural Networks, Computer Terminology as Topic Transcription Factors
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PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal of the American Medical Informatics Association : JAMIA 32974638
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...
Adult Algorithms Dementia Diabetes Mellitus, Type 2 Electronic Health Records Genome-Wide Association Study Humans Hypothyroidism Information Storage and Retrieval Knowledge Bases Natural Language Processing Phenotype Polymorphism, Single Nucleotide Terminology as Topic
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A pre-training and self-training approach for biomedical named entity recognition.

PloS one 33561139
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...
Artificial Intelligence Humans Models, Theoretical Recognition, Psychology Supervised Machine Learning Terminology as Topic Transfer, Psychology Unified Medical Language System Unsupervised Machine Learning
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A network-based machine-learning framework to identify both functional modules and disease genes.

Human genetics 33409574
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...
Amino Acid Sequence Computational Biology Gastrointestinal Diseases Gene Regulatory Networks Humans Immune System Diseases Mental Disorders Metabolic Diseases Metabolic Networks and Pathways Musculoskeletal Diseases Neoplasms Neurodegenerative Diseases Predictive Value of Tests Protein Interaction Mapping Supervised Machine Learning Terminology as Topic
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The Human Phenotype Ontology in 2021.

Nucleic acids research 33264411
The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for ...
Animals Biological Ontologies Computational Biology Databases, Factual Disease Disease Models, Animal Genome Genotype Humans Infant, Newborn International Cooperation Internet Neonatal Screening Pharmacogenetics Phenotype Software Terminology as Topic
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