AIMC Topic:
Data Mining

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Artificial Intelligence-related Literature in Transplantation: A Practical Guide.

Transplantation Apr 1, 2021
Big Data Models, Theoretical Data Mining Transplantation Artificial Intelligence Databases, Factual Biomedical Research Humans
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A Primer on Machine Learning.

Transplantation Apr 1, 2021
Data Mining Transplantation Databases, Factual Biomedical Research Big Data Humans Machine Learning
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The Future Role of Machine Learning in Clinical Transplantation.

Transplantation Apr 1, 2021
The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors: increasing access to massive datasets, exponential increa...
Deep Learning Humans Big Data Data Mining Transplantation Machine Learning Databases, Factual Biomedical Research
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Unsupervised and self-supervised deep learning approaches for biomedical text mining.

Briefings in bioinformatics Mar 22, 2021
Biomedical scientific literature is growing at a very rapid pace, which makes increasingly difficult for human experts to spot the most relevant results hidden in the papers. Automatized information extraction tools based on text mining techniques ar...
Neural Networks, Computer Unsupervised Machine Learning Supervised Machine Learning Data Mining Algorithms Deep Learning Cluster Analysis
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Application of deep learning methods in biological networks.

Briefings in bioinformatics Mar 22, 2021
The increase in biological data and the formation of various biomolecule interaction databases enable us to obtain diverse biological networks. These biological networks provide a wealth of raw materials for further understanding of biological system...
Data Mining Proteins Drug Interactions Microbiota Phenotype Drug Delivery Systems Drug Discovery Deep Learning Protein Interaction Maps Genotype Humans Neural Networks, Computer Algorithms
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Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, import...
Data Mining Datasets as Topic Peptic Ulcer Hemorrhage Humans Neural Networks, Computer Precision Medicine Deep Learning Models, Theoretical Prognosis Risk Assessment
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Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.

Arthritis care & research Mar 1, 2021
OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a lack of billing codes specific to this acute subtype of calcium pyrophosphate (CPP) deposition disease. The objective of this study was to evaluate a n...
Humans Machine Learning Aged, 80 and over Male Middle Aged Natural Language Processing Electronic Health Records Female Aged Data Mining Chondrocalcinosis
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Using Machine Learning to Evaluate Attending Feedback on Resident Performance.

Anesthesia and analgesia Feb 1, 2021
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...
Task Performance and Analysis Internship and Residency Formative Feedback Medical Staff, Hospital Employee Performance Appraisal Humans Anesthesiology Machine Learning Education, Medical, Graduate Clinical Competence Databases, Factual Anesthesiologists United States Data Mining
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Deep learning for mining protein data.

Briefings in bioinformatics Jan 18, 2021
The recent emergence of deep learning to characterize complex patterns of protein big data reveals its potential to address the classic challenges in the field of protein data mining. Much research has revealed the promise of deep learning as a power...
Humans Animals Deep Learning Databases, Protein Data Mining Sequence Analysis, Protein
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canSAR: update to the cancer translational research and drug discovery knowledgebase.

Nucleic acids research Jan 8, 2021
canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, ...
Computational Biology Knowledge Bases Data Mining Proteomics Medical Oncology Databases, Genetic Antineoplastic Agents Molecular Structure Humans Internet User-Computer Interface Neoplasms Translational Research, Biomedical Genomics Drug Discovery
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