AIMC Topic: Data Mining

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Enabling Legal Risk Management Model for International Corporation with Deep Learning and Self Data Mining.

Computational intelligence and neuroscience Apr 6, 2022
In uncertain times, risk management is critical in keeping companies from acting rashly and wrongly, allowing them to become more flexible and resilient. International cooperative production project investment and operational risks are different from...
Deep Learning Machine Learning Data Mining Risk Assessment
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Data Mining Meets Machine Learning: A Novel ANN-based Multi-body Interaction Docking Scoring Function (MBI-score) Based on Utilizing Frequent Geometric and Chemical Patterns of Interfacial Atoms in Native Protein-ligand Complexes.

Molecular informatics Mar 9, 2022
Accurate prediction of binding poses is crucial to structure-based drug design. We employ two powerful artificial intelligence (AI) approaches, data-mining and machine-learning, to design artificial neural network (ANN) based pose-scoring function. I...
Artificial Intelligence Machine Learning Data Mining Protein Binding Ligands Proteins Binding Sites
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Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines.

Sensors (Basel, Switzerland) Feb 23, 2022
The popularity of cryptocurrency in recent years has gained a lot of attention among researchers and in academic working areas. The uncontrollable and untraceable nature of cryptocurrency offers a lot of attractions to the people in this domain. The ...
Data Mining Knowledge Discovery Machine Learning Humans Algorithms
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Deep Learning-based detection of psychiatric attributes from German mental health records.

International journal of medical informatics Feb 22, 2022
BACKGROUND: Health care records provide large amounts of data with real-world and longitudinal aspects, which is advantageous for predictive analyses and improvements in personalized medicine. Text-based records are a main source of information in me...
Humans Natural Language Processing Mental Health Neural Networks, Computer Data Mining Deep Learning Electronic Health Records
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Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.

Journal of biomedical informatics Feb 20, 2022
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), obtain significant properties and measures from the output signal (perceiving), use algorithms for data analysis (reasoning), and trigger warnings or al...
Monitoring, Physiologic Data Mining Machine Learning Data Analysis Algorithms
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DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism.

Methods (San Diego, Calif.) Feb 15, 2022
Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of two or more drugs. It is an important semantic processing task in the field of bioinformatics such as pharmacovigilance and clinical research. Recently,...
Neural Networks, Computer Computational Biology Semantics Drug Interactions Data Mining
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A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals.

Nature communications Feb 14, 2022
To accelerate biomedical research process, deep-learning systems are developed to automatically acquire knowledge about molecule entities by reading large-scale biomedical data. Inspired by humans that learn deep molecule knowledge from versatile rea...
Humans Electronic Data Processing Reading Natural Language Processing Drug Discovery Algorithms Data Mining Molecular Structure Deep Learning Biomedical Research Information Storage and Retrieval
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Incremental learning algorithm for large-scale semi-supervised ordinal regression.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2022
As a special case of multi-classification, ordinal regression (also known as ordinal classification) is a popular method to tackle the multi-class problems with samples marked by a set of ranks. Semi-supervised ordinal regression (SSOR) is especially...
Data Mining Algorithms Supervised Machine Learning
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Analysis of the Model for Sports Enhancing Human Health Using Data Mining.

Journal of healthcare engineering Feb 11, 2022
The problems of low reliability and the high fitting degree of mutual information feature extraction of traditional sports to human health enhancement model are analyzed. We analyze and study the sports to human health enhancement model using data mi...
Humans Algorithms Data Mining Neural Networks, Computer Reproducibility of Results Sports
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Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions.

Computational and mathematical methods in medicine Feb 3, 2022
One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is responsible for the supply of blood to each part of the body. Coronary artery disease (CAD) and chronic heart failure (CHF) often lead to heart attack. T...
Data Mining Arrhythmias, Cardiac Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Databases, Factual Coronary Artery Disease Diagnosis, Computer-Assisted Heart Failure Computational Biology Machine Learning Electrocardiography Algorithms
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