AIMC Topic: Data Mining

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Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics Aug 10, 2023
Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting which existing drugs could be repurposed to treat rare diseases. Incorporating key biological contex...
Humans Data Mining Rare Diseases Knowledge Bases PubMed
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Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

JMIR public health and surveillance Jul 12, 2023
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency department (ED) diagnoses are a useful source of information for injury epidemiological surveillance purposes. However, ED data collection systems often use f...
Data Mining Random Forest Humans Emergency Service, Hospital Child, Preschool Machine Learning Child Algorithms
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Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Computational intelligence and neuroscience Jul 8, 2023
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social media. For system optimization, this work introduces a method of behaviour pattern mining to analyze the person's mental stability. With the utilization o...
Humans Data Mining Social Media Algorithms Machine Learning Deep Learning
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Research on Intelligent English Education Based on the Short Video Recommendation Algorithm.

Computational intelligence and neuroscience Jul 7, 2023
In order to solve the problems of English education in the form of a short video, a research method of English intelligent education based on a short video recommendation algorithm was proposed. The recommendation system is a branch of artificial int...
Artificial Intelligence Data Mining Intelligence Learning Algorithms
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Multi-population Black Hole Algorithm for the problem of data clustering.

PloS one Jul 5, 2023
The retrieval of important information from a dataset requires applying a special data mining technique known as data clustering (DC). DC classifies similar objects into a groups of similar characteristics. Clustering involves grouping the data aroun...
Algorithms Machine Learning Data Mining Cluster Analysis
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Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction.

BMC bioinformatics Jun 15, 2023
BACKGROUND: Tree-structured neural networks have shown promise in extracting lexical representations of sentence syntactic structures, particularly in the detection of event triggers using recursive neural networks.
Data Mining Neural Networks, Computer Humans
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Contextualized medication event extraction with striding NER and multi-turn QA.

Journal of biomedical informatics Jun 13, 2023
This paper describes contextualized medication event extraction for automatically identifying medication change events with their contexts from clinical notes. The striding named entity recognition (NER) model extracts medication name spans from an i...
Humans Natural Language Processing Data Mining Language Electronic Health Records Medication Systems
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Transforming primary healthcare through natural language processing and big data analytics.

BMJ (Clinical research ed.) May 3, 2023
Natural Language Processing Primary Health Care Data Mining Big Data Data Science Humans
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PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Pathology text mining is a challenging task given the reporting variability and constant new findings in cancer sub-type definitions. However, successful text mining of a large pathology database can play a critical role to advance 'big data' cancer ...
Breast Neoplasms Data Mining Natural Language Processing Big Data Humans Language Female
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Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches.

Environmental science and pollution research international Apr 18, 2023
Accurate estimation of wind speed (WS) data, which greatly influences meteorological parameters, plays a vital role in the safe operation and optimization of the power system and water resource management. The study's main aim is to combine artificia...
Wind Neural Networks, Computer Data Mining Artificial Intelligence Regression Analysis
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