AIMC Topic: Data Mining

Clear Filters Showing 421 to 430 of 1566 articles

Data mining for pesticide decontamination using heterogeneous photocatalytic processes.

Chemosphere Dec 28, 2020
Pesticides are chemical compounds used to kill pests and weeds. Due to their nature, pesticides are potentially toxic to many organisms, including humans. Among the various methods used to decontaminate pesticides from the environment, the heterogene...
Decontamination Data Mining Pesticides Humans Artificial Intelligence Decision Trees Bayes Theorem Algorithms
View on PubMed DOI

Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews.

Systematic reviews Dec 13, 2020
BACKGROUND: Despite existing research on text mining and machine learning for title and abstract screening, the role of machine learning within systematic literature reviews (SLRs) for health technology assessment (HTA) remains unclear given lack of ...
Humans Machine Learning Bayes Theorem Systematic Reviews as Topic Data Mining Algorithms Support Vector Machine
View on PubMed DOI

Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.

Nature communications Dec 11, 2020
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcrip...
Histidine Gene Expression Regulation, Bacterial Iron Chelating Agents DNA Damage Tryptophan Gene Regulatory Networks Data Mining Bacterial Proteins Bacillus subtilis Quorum Sensing Machine Learning Ethanol Transcriptome
View on PubMed DOI

How wide is the application of genetic big data in biomedicine.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Dec 9, 2020
In the era of big data, massive genetic data, as a new industry, has quickly swept almost all industries, especially the pharmaceutical industry. As countries around the world start to build their own gene banks, scientists study the data to explore ...
Genomics Data Mining Neoplasms Big Data Mental Disorders Precision Medicine Animals Cardiovascular Diseases Biomedical Research Humans Artificial Intelligence
View on PubMed DOI

LSTM-Based End-to-End Framework for Biomedical Event Extraction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Biomedical event extraction plays an important role in the extraction of biological information from large-scale scientific publications. However, most state-of-the-art systems separate this task into several steps, which leads to cascading errors. I...
Computational Biology Data Mining Neural Networks, Computer Biomedical Research
View on PubMed DOI

Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
We present an analysis of the problem of identifying biological context and associating it with biochemical events described in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological contex...
Databases, Factual Biomedical Research Humans Computational Biology Animals Natural Language Processing Mice Data Mining
View on PubMed DOI

Editorial for the Special Section "Artificial Intelligence in Drug Discovery".

Drug discovery today. Technologies Dec 7, 2020
Drug Discovery Humans Data Mining Artificial Intelligence
View on PubMed DOI

Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants.

Computer methods and programs in biomedicine Dec 5, 2020
Humans Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining Electronic Health Records Deep Learning
View on PubMed DOI

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

PloS one Dec 1, 2020
The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. T...
Industrial Development Humans Machine Learning Knowledge Management Data Mining Efficiency Inventions Organizational Innovation
View on PubMed DOI

Extraction of the molecular level biomedical event trigger based on gene ontology using radial belief neural network techniques.

Bio Systems Nov 28, 2020
Detection of molecular level biomedical event extraction plays a vital role in creating and visualizing the applications related to natural language processing. Cystic Fibrosis is an inherited genetic and debilitating pathology involving the respirat...
Gene Ontology Models, Theoretical Cystic Fibrosis Mutation Neural Networks, Computer Biomedical Research Data Mining Gene Expression Regulation Algorithms Lung
View on PubMed DOI
Popular Topics
Recent Journals