AIMC Topic: Disease

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Unveiling new disease, pathway, and gene associations via multi-scale neural network.

PloS one Apr 6, 2020
Diseases involve complex modifications to the cellular machinery. The gene expression profile of the affected cells contains characteristic patterns linked to a disease. Hence, new biological knowledge about a disease can be extracted from these prof...
Humans Models, Biological Neural Networks, Computer Prognosis Disease Comorbidity Gene Regulatory Networks Computational Biology Transcriptome Signal Transduction ROC Curve
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Automated ICD coding via unsupervised knowledge integration (UNITE).

International journal of medical informatics Apr 4, 2020
OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based research. Recent research has been focused on developing supervised methods to automatically assign International Classification of Diseases (ICD) co...
Machine Learning Algorithms Electronic Health Records Humans Neural Networks, Computer Disease Automation International Classification of Diseases
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Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification.

Clinical epigenetics Apr 3, 2020
BACKGROUND: Machine learning is a sub-field of artificial intelligence, which utilises large data sets to make predictions for future events. Although most algorithms used in machine learning were developed as far back as the 1950s, the advent of big...
Disease Diagnosis Precision Medicine Epigenesis, Genetic Epigenomics DNA Methylation Unsupervised Machine Learning Supervised Machine Learning Humans Machine Learning
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The International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019): computational methods and applications in medical genomics.

BMC medical genomics Apr 3, 2020
In this editorial, we briefly summarized the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9-11, 2019 at Columbus, Ohio, USA. We further introduced the 19 research articles included in this suppl...
Humans Artificial Intelligence Genomics Internationality Disease Congresses as Topic Computational Biology Systems Biology Biological Products
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Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

BMC bioinformatics Mar 20, 2020
BACKGROUND: The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as cli...
Gene Expression Profiling Deep Learning Supervised Machine Learning Machine Learning Phenotype Disease Humans
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Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Relationships between disorders and their associated tests, treatments and symptoms underpin essential information needs of clinicians and can support biomedical knowledge bases, information retrieval and ultimately clinical decision support. These r...
Disease Vocabulary, Controlled Humans Deep Learning Natural Language Processing Publications Information Storage and Retrieval
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Combining lexical and context features for automatic ontology extension.

Journal of biomedical semantics Jan 13, 2020
BACKGROUND: Ontologies are widely used across biology and biomedicine for the annotation of databases. Ontology development is often a manual, time-consuming, and expensive process. Automatic or semi-automatic identification of classes that can be ad...
Nerve Net Humans Automation Biological Ontologies Disease
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Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening.

Medicinal research reviews Jan 10, 2020
Discovery and development of biopeptides are time-consuming, laborious, and dependent on various factors. Data-driven computational methods, especially machine learning (ML) approach, can rapidly and efficiently predict the utility of therapeutic pep...
Peptides Mass Screening Databases, Protein Disease Artificial Intelligence Algorithms Animals Humans
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Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network.

BMC bioinformatics Dec 11, 2019
BACKGROUND: Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics. However, even with these a...
Disease Drug Repositioning Knowledge Bases Data Mining Time Factors Computational Biology Machine Learning Algorithms Humans Reproducibility of Results
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Disease phenotype synonymous prediction through network representation learning from PubMed database.

Artificial intelligence in medicine Nov 19, 2019
Synonym mapping between phenotype concepts from different terminologies is difficult because terminology databases have been developed largely independently. Existing maps of synonymous phenotype concepts from different terminology databases are high...
Computer Simulation Humans Automation Reproducibility of Results Neural Networks, Computer PubMed Machine Learning Algorithms Phenotype Disease
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