AIMC Topic: Data Mining

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A Machine Learning Approach to Predictive Modelling of Student Performance.

F1000Research Nov 11, 2021
- Many factors affect student performance such as the individual's background, habits, absenteeism and social activities. Using these factors, corrective actions can be determined to improve their performance. This study looks into the effects of th...
Support Vector Machine Machine Learning Data Mining Students Bayes Theorem Humans
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Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction.

Sensors (Basel, Switzerland) Nov 4, 2021
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT). Several different machine learning algorithms exploit the patterns extract...
Neural Networks, Computer Databases, Factual Data Mining Algorithms Machine Learning
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Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts.

Biomolecules Oct 27, 2021
For any molecule, network, or process of interest, keeping up with new publications on these is becoming increasingly difficult. For many cellular processes, the amount molecules and their interactions that need to be considered can be very large. Au...
Neural Networks, Computer Humans Natural Language Processing Machine Learning Data Mining
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Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study.

Journal of medical Internet research Oct 19, 2021
BACKGROUND: Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are...
Patient Readmission Length of Stay Data Mining Aged Artificial Intelligence Humans Risk Factors Retrospective Studies
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Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning.

Journal of healthcare engineering Oct 19, 2021
Online deceptive reviews widely exist in the online shopping environment. Numerous studies have investigated the impact of online product reviews on customer behaviour and sales. However, the existing literature is mainly based on real product review...
Machine Learning Data Mining Humans Commerce Consumer Behavior Intention
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Effective prediction of heart disease using hybrid ensemble deep learning and tunicate swarm algorithm.

Journal of biomolecular structure & dynamics Oct 18, 2021
Heart disease (HD) is the major reason for the rampant cause of death around the world. It is deemed as a crucial illness among the middle and old age people which tends to high mortality rates. Recently, Effects of HD is presenting a shocking rise i...
India Data Mining Deep Learning Heart Diseases Algorithms Humans
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Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.

BMC bioinformatics Oct 16, 2021
BACKGROUND: Identifying human protein-phenotype relationships has attracted researchers in bioinformatics and biomedical natural language processing due to its importance in uncovering rare and complex diseases. Since experimental validation of prote...
Neural Networks, Computer Phenotype Humans Data Mining Supervised Machine Learning
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Chinese Language Feature Analysis Based on Multilayer Self-Organizing Neural Network and Data Mining Techniques.

Computational intelligence and neuroscience Oct 14, 2021
As one of the oldest languages in the world, Chinese has a long cultural history and unique language charm. The multilayer self-organizing neural network and data mining techniques have been widely used and can achieve high-precision prediction in di...
Data Mining Language China Algorithms Neural Networks, Computer
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A practical approach towards causality mining in clinical text using active transfer learning.

Journal of biomedical informatics Oct 8, 2021
OBJECTIVE: Causality mining is an active research area, which requires the application of state-of-the-art natural language processing techniques. In the healthcare domain, medical experts create clinical text to overcome the limitation of well-defin...
Data Mining Semantics Machine Learning Natural Language Processing
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SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations.

BMC bioinformatics Oct 4, 2021
BACKGROUND: Blood cancers (BCs) are responsible for over 720 K yearly deaths worldwide. Their prevalence and mortality-rate uphold the relevance of research related to BCs. Despite the availability of different resources establishing Disease-Disease ...
Knowledge Data Mining Deep Learning
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