AIMC Topic: Data Mining

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Extracting Biomedical Entity Relations using Biological Interaction Knowledge.

Interdisciplinary sciences, computational life sciences Mar 17, 2021
Discovering relations of cross-type biomedical entities is crucial for biology research. A large amount of potential or indirect connected biological relations is hidden in millions of biomedical literatures and biological databases. The previous rul...
Data Mining Knowledge Neural Networks, Computer Databases, Factual
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Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition.

Journal of biomedical informatics Mar 15, 2021
Named entity recognition (NER) is a fundamental task in Chinese natural language processing (NLP) tasks. Recently, Chinese clinical NER has also attracted continuous research attention because it is an essential preparation for clinical data mining. ...
Neural Networks, Computer Electronic Health Records China Natural Language Processing Data Mining
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Deus ex machina? Demystifying rather than deifying machine learning.

The Journal of thoracic and cardiovascular surgery Mar 11, 2021
Data Mining Diffusion of Innovation Computational Biology Unsupervised Machine Learning Supervised Machine Learning Humans Machine Learning Deep Learning Big Data
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Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls.

Frontiers in immunology Mar 10, 2021
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietary gluten proteins. The disease has high heritability. HLA is the major susceptibility factor, and the HLA effect is mediated via presentation of deami...
Data Mining Adaptive Immunity Celiac Disease Databases, Genetic Receptors, Antigen, B-Cell Humans Cluster Analysis Genes, Immunoglobulin Heavy Chain Machine Learning B-Lymphocytes Genes, Immunoglobulin Light Chain Case-Control Studies
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R.ROSETTA: an interpretable machine learning framework.

BMC bioinformatics Mar 6, 2021
BACKGROUND: Machine learning involves strategies and algorithms that may assist bioinformatics analyses in terms of data mining and knowledge discovery. In several applications, viz. in Life Sciences, it is often more important to understand how a pr...
Algorithms Case-Control Studies Computational Biology Data Mining Machine Learning
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Expanding the drug discovery space with predicted metabolite-target interactions.

Communications biology Mar 5, 2021
Metabolites produced in the human gut are known modulators of host immunity. However, large-scale identification of metabolite-host receptor interactions remains a daunting challenge. Here, we employed computational approaches to identify 983 potenti...
Molecular Targeted Therapy Host-Pathogen Interactions Gastrointestinal Agents Data Mining Ligands Bacteria Signal Transduction Gastrointestinal Microbiome Metabolomics Metabolome Anti-Inflammatory Agents Gene Expression Profiling Transcriptome Protein Interaction Maps Databases, Factual Inflammatory Bowel Diseases Drug Discovery Machine Learning Cells, Cultured Humans
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Humans Prognosis Retrospective Studies Intensive Care Units Electronic Health Records Machine Learning Pandemics COVID-19 Data Mining ROC Curve Age Factors Models, Statistical Aged, 80 and over Adult Male Middle Aged Risk Factors Risk Assessment Female Hospitalization Respiration, Artificial Reproducibility of Results Aged SARS-CoV-2
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Using neural networks to mine text and predict metabolic traits for thousands of microbes.

PLoS computational biology Mar 2, 2021
Microbes can metabolize more chemical compounds than any other group of organisms. As a result, their metabolism is of interest to investigators across biology. Despite the interest, information on metabolism of specific microbes is hard to access. I...
Neural Networks, Computer Databases, Factual Acetates Data Mining Fermentation Phylogeny Archaea Bacteria Computational Biology
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A message-passing multi-task architecture for the implicit event and polarity detection.

PloS one Mar 1, 2021
Implicit sentiment analysis is a challenging task because the sentiment of a text is expressed in a connotative manner. To tackle this problem, we propose to use textual events as a knowledge source to enrich network representations. To consider task...
Natural Language Processing Data Mining Humans Multitasking Behavior Neural Networks, Computer Learning
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A review on current advances in machine learning based diabetes prediction.

Primary care diabetes Feb 26, 2021
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period in the body as it is not capable of using it properly. The severe complications associated with diabetes include diabetic ketoacidosis, nonketotic hype...
Diabetes Mellitus Bayes Theorem Data Mining Humans Machine Learning Algorithms
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