AIMC Topic: Data Mining

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Semantic Data Mining in Ubiquitous Sensing: A Survey.

Sensors (Basel, Switzerland) Jun 24, 2021
Mining ubiquitous sensing data is important but also challenging, due to many factors, such as heterogeneous large-scale data that is often at various levels of abstraction. This also relates particularly to the important aspects of the explainabilit...
Humans Artificial Intelligence Data Mining Semantics
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Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.

Frontiers in immunology Jun 11, 2021
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized immunosuppression regimens that could improve patient outcomes. In the future, integrating all of this information with other patient history data wil...
Therapy, Computer-Assisted Humans Patient Care Team Artificial Intelligence Organ Transplantation Decision Support Techniques Meaningful Use Data Mining Clinical Decision-Making Pattern Recognition, Automated Reproducibility of Results
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Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review.

Molecular diversity Jun 10, 2021
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due to substantial progress in high-performance computing, the development of superior algorithms, and the accumulation of huge biological and chemical data...
Protein Binding Models, Theoretical Proteins Drug Design Drug Discovery Big Data Artificial Intelligence Data Mining Humans Algorithms Protein Interaction Mapping Structure-Activity Relationship Protein Folding Databases, Pharmaceutical Models, Molecular Workflow
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Biomedical Knowledge Graphs Construction From Conditional Statements.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Conditions play an essential role in biomedical statements. However, existing biomedical knowledge graphs (BioKGs) only focus on factual knowledge, organized as a flat relational network of biomedical concepts. These BioKGs ignore the conditions of t...
Data Mining Data Curation Computer Graphics Databases, Factual Computational Biology Knowledge Bases
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High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
High-risk prediction of cardiovascular disease is of great significance and impendency in medical fields with the increasing phenomenon of sub-health these years. Most existing pathological methods for the prognosis prediction are either costly or pr...
Electronic Health Records Female Adult Male Humans Neural Networks, Computer Algorithms Deep Learning Data Mining Medical Informatics Cardiovascular Diseases Middle Aged Risk Assessment
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Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.

International journal of medical sciences Jun 1, 2021
Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and show high prevalence, especially in developing countries. Among them, asthma and chronic obstructive pulmonary disease (COPD) show the highest morbidity...
Data Mining Pulmonary Disease, Chronic Obstructive Humans Asthma Machine Learning Models, Biological Clinical Decision-Making
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A digital highway for data fluidity and data equity in precision medicine.

Biochimica et biophysica acta. Reviews on cancer May 29, 2021
Recent technological advances continue to expand the universe of big data in biomedicine along the four axes of variety, veracity, volume, and velocity, fueling innovations in research and discovery while transforming care delivery. These advances al...
Humans Artificial Intelligence Data Mining Diffusion of Innovation Machine Learning Precision Medicine Big Data
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i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning.

BioMed research international May 29, 2021
As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in controlling gene replication, expression, cell cycle, DNA replication, and differentiation. The accurate identification of 4mC sites is necessary to und...
Data Mining Base Sequence Genome Genetic Techniques Cytosine DNA Bayes Theorem Internet Epigenesis, Genetic DNA Methylation Area Under Curve Animals Machine Learning Mice ROC Curve Algorithms Computational Biology Reproducibility of Results
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Data-driven approaches to advance research and clinical care for pediatric cancer.

Biochimica et biophysica acta. Reviews on cancer May 26, 2021
Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with adult cancer. Multi-omics profiling of retrospective and prospective cohorts coupled with innovative computational analysis have been instrumental in u...
Age of Onset Pediatrics Medical Oncology Databases, Genetic Mutation Data Mining Machine Learning Precision Medicine Biomarkers, Tumor Genomics Genetic Predisposition to Disease Neoplasms Transcriptome Humans
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Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow.

Systematic reviews May 26, 2021
BACKGROUND: Current text mining tools supporting abstract screening in systematic reviews are not widely used, in part because they lack sensitivity and precision. We set out to develop an accessible, semi-automated "workflow" to conduct abstract scr...
Humans Machine Learning Natural Language Processing Systematic Reviews as Topic Workflow Data Mining
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