AIMC Topic: Data Mining

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Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

International journal of environmental research and public health Sep 27, 2022
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of incre...
Humans Data Mining Human Activities Technology Aged Machine Learning
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Clinlabomics: leveraging clinical laboratory data by data mining strategies.

BMC bioinformatics Sep 24, 2022
The recent global focus on big data in medicine has been associated with the rise of artificial intelligence (AI) in diagnosis and decision-making following recent advances in computer technology. Up to now, AI has been applied to various aspects of ...
Data Mining Artificial Intelligence Laboratories, Clinical Machine Learning Big Data
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Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities.

Computational intelligence and neuroscience Sep 16, 2022
In order to better solve the problems of low efficiency, large consumption of human resources, and relatively low degree of intelligence in the abnormal data monitoring system of financial accounting in colleges and universities under the background ...
Universities Decision Trees Neural Networks, Computer Humans Data Mining Algorithms
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Medical Data Classification Assisted by Machine Learning Strategy.

Computational and mathematical methods in medicine Sep 10, 2022
With the development of science and technology, data plays an increasingly important role in our daily life. Therefore, much attention has been paid to the field of data mining. Data classification is the premise of data mining, and how well the data...
Machine Learning Data Mining Neural Networks, Computer Humans Attention
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Suicidal behaviour prediction models using machine learning techniques: A systematic review.

Artificial intelligence in medicine Sep 6, 2022
BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence, there is increasing research into how machine learning can assist in the...
Humans Data Mining Artificial Intelligence Machine Learning Suicidal Ideation
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Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting.

PloS one Aug 25, 2022
OBJECTIVES: In nursing homes, narrative data are collected to evaluate quality of care as perceived by residents or their family members. This results in a large amount of textual data. However, as the volume of data increases, it becomes beyond the ...
Long-Term Care Family Nursing Homes Data Mining Artificial Intelligence Humans Aged
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Comparisons of deep learning and machine learning while using text mining methods to identify suicide attempts of patients with mood disorders.

Journal of affective disorders Aug 24, 2022
BACKGROUND: Suicide attempt is one of the most severe consequences for patients with mood disorders. This study aimed to perform deep learning and machine learning while using text mining to identify patients with suicide attempts and to compare thei...
Mood Disorders Male Suicide, Attempted Deep Learning Data Mining Machine Learning Female Humans
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Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network.

PloS one Aug 22, 2022
OBJECTIVES: This paper aimed to identify the technology frontiers of artificial intelligence-assisted pathology based on patent citation network.
Neural Networks, Computer Artificial Intelligence Algorithms Data Mining Technology
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IMSE: interaction information attention and molecular structure based drug drug interaction extraction.

BMC bioinformatics Aug 14, 2022
BACKGROUND: Extraction of drug drug interactions from biomedical literature and other textual data is an important component to monitor drug-safety and this has attracted attention of many researchers in healthcare. Existing works are more pivoted ar...
Neural Networks, Computer Molecular Structure Attention Drug Interactions Data Mining
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A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2022
The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance, which provides effective and safe co-prescriptions of multiple drugs. Since laboratory researches are often complicated, costly and time-consuming, it's ur...
Databases, Factual Natural Language Processing Drug Interactions Data Mining Machine Learning
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