AIMC Topic: Disease

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Improving the accuracy of medical diagnosis with causal machine learning.

Nature communications Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Algorithms Diagnosis, Computer-Assisted Decision Making Humans Data Accuracy Machine Learning Models, Statistical Disease Bayes Theorem Diagnosis Data Collection
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Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches.

Critical reviews in microbiology May 21, 2020
In the past decade, there has been a tremendous increase in studies on the link between oral microbiome and systemic diseases. However, variations in study design and confounding variables across studies often lead to inconsistent observations. In th...
Humans Neural Networks, Computer Diagnosis Pancreatic Neoplasms Atherosclerosis Microbiota Mouth Metagenomics Female Artificial Intelligence Disease Diabetes Mellitus, Type 2 Pregnancy Arthritis, Rheumatoid
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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...
Gene Regulatory Networks Computational Biology Signal Transduction Transcriptome ROC Curve Models, Biological Disease Humans Neural Networks, Computer Prognosis Comorbidity
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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...
Disease Neural Networks, Computer Machine Learning Algorithms Humans Electronic Health Records 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...
Epigenomics DNA Methylation Unsupervised Machine Learning Supervised Machine Learning Disease Diagnosis Machine Learning Precision Medicine Epigenesis, Genetic Humans
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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...
Genomics Computational Biology Systems Biology Humans Artificial Intelligence Congresses as Topic Biological Products Internationality Disease
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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...
Humans Machine Learning Supervised Machine Learning Disease Phenotype Gene Expression Profiling Deep Learning
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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 Natural Language Processing Humans Vocabulary, Controlled Publications Deep Learning 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 Automation Humans 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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