AIMC Topic: Data Mining

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Multimodal Learning of Social Image Representation by Exploiting Social Relations.

IEEE transactions on cybernetics Feb 17, 2021
Learning the representation for social images has recently made remarkable achievements for many tasks, such as cross-modal retrieval and multilabel classification. However, since social images contain both multimodal contents (e.g., visual images an...
Humans Machine Learning Social Media Data Mining Semantics Social Interaction Algorithms Animals Image Processing, Computer-Assisted
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Will we successfully avoid the garbage in garbage out problem in imaging data mining? An overview on current concepts and future directions in molecular imaging.

Methods (San Diego, Calif.) Feb 13, 2021
Molecular Imaging Datasets as Topic Artificial Intelligence Image Processing, Computer-Assisted Data Mining Humans
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Systematic auditing is essential to debiasing machine learning in biology.

Communications biology Feb 10, 2021
Biases in data used to train machine learning (ML) models can inflate their prediction performance and confound our understanding of how and what they learn. Although biases are common in biological data, systematic auditing of ML models to identify ...
Humans Protein Interaction Maps Protein Binding Proteomics Machine Learning Reproducibility of Results Animals Histocompatibility Antigens Bias Pharmaceutical Preparations Data Mining Proteome Proteins Databases, Protein
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Computational approach for identification, characterization, three-dimensional structure modelling and machine learning-based thermostability prediction of xylanases from the genome of Aspergillus fumigatus.

Computational biology and chemistry Feb 6, 2021
Identification of thermostable and alkaline xylanases from different fungal and bacterial species have gained an interest for the researchers because of its biotechnological relevance in many industries, such as pulp, paper, and bioethanol. In this s...
Enzyme Stability Protein Conformation Endo-1,4-beta Xylanases Sequence Homology, Amino Acid Genome, Fungal Amino Acid Sequence Data Mining Temperature Aspergillus fumigatus Molecular Docking Simulation Computational Biology Machine Learning
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Task Similarity Estimation Through Adversarial Multitask Neural Network.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Multitask learning (MTL) aims at solving the related tasks simultaneously by exploiting shared knowledge to improve performance on individual tasks. Though numerous empirical results supported the notion that such shared knowledge among tasks plays a...
Electronic Data Processing Benchmarking Data Mining Humans Alzheimer Disease Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted
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GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Grant support (GS) in the MEDLINE database refers to funding agencies and contract numbers. It is important for funding organizations to track their funding outcomes from the GS information. As such, how to accurately and automatically extract fundin...
United States Models, Statistical Data Mining Deep Learning Financing, Organized MEDLINE National Library of Medicine (U.S.)
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The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining.

Frontiers in public health Feb 2, 2021
Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of mul...
Data Mining Perception Adult Exercise Leisure Activities Humans Artificial Intelligence
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Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare.

Nature communications Jan 29, 2021
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artifici...
Risk Assessment Prevalence Severity of Illness Index Sepsis Time Factors Early Diagnosis ROC Curve Clinical Decision Rules Machine Learning Humans Intensive Care Units Predictive Value of Tests Electronic Health Records Feasibility Studies Data Mining
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AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Allergy mention normalization is challenging because of the wide range of possible allergens including medications, foods, plants, animals, and consumer products. This paper describes the process of mapping free-text allergy information from an elect...
Hypersensitivity Data Mining Humans RxNorm Systems Integration Allergens Electronic Health Records Medication Systems, Hospital Medical Records Systems, Computerized Natural Language Processing
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EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Recent medical prognostic models adapted from high data-resource fields like language processing have quickly grown in complexity and size. However, since medical data typically constitute low data-resource settings, performances on tasks like clinic...
Benchmarking Clinical Decision Rules Data Mining Prognosis Humans Information Storage and Retrieval Intensive Care Units Machine Learning Electronic Health Records
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