AIMC Topic: Data Mining

Clear Filters Showing 521 to 530 of 1566 articles

High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets.

Cancer immunology research Dec 23, 2019
Computational prediction of binding between neoantigen peptides and major histocompatibility complex (MHC) proteins can be used to predict patient response to cancer immunotherapy. Current neoantigen predictors focus on estimation of MHC binding aff...
Histocompatibility Antigens Class II Humans Antigens, Neoplasm CD8-Positive T-Lymphocytes Neural Networks, Computer Predictive Value of Tests Artificial Intelligence Histocompatibility Antigens Class I Data Mining Mutation, Missense Protein Binding Computational Biology Cancer Vaccines Software Algorithms Neoplasms
View on PubMed DOI

Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels.

BMC bioinformatics Dec 23, 2019
BACKGROUND: Use of medication can cause adverse drug reactions (ADRs), unwanted or unexpected events, which are a major safety concern. Drug labels, or prescribing information or package inserts, describe ADRs. Therefore, systematically identifying A...
Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration Drug Labeling Machine Learning Deep Learning United States Neural Networks, Computer
View on PubMed DOI

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigat...
Deep Learning Natural Language Processing Data Mining Electronic Health Records Language Sweden Humans Neural Networks, Computer
View on PubMed DOI

Comparing different supervised machine learning algorithms for disease prediction.

BMC medical informatics and decision making Dec 21, 2019
BACKGROUND: Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown a potential application area for these methods. This study ai7ms to identify the key tren...
Risk Factors Support Vector Machine Bayes Theorem Humans Machine Learning Algorithms Data Mining Clinical Decision Rules
View on PubMed DOI

Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification.

Scientific reports Dec 20, 2019
Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotyping...
Data Mining Algorithms Machine Learning Support Vector Machine Discriminant Analysis
View on PubMed DOI

An Interactive Model of Target and Context for Aspect-Level Sentiment Classification.

Computational intelligence and neuroscience Dec 19, 2019
Aspect-level sentiment classification aims to identify the sentiment polarity of a review expressed toward a target. In recent years, neural network-based methods have achieved success in aspect-level sentiment classification, and these methods fall ...
Data Mining Machine Learning Consumer Behavior Computers Semantics Emotions Psycholinguistics Humans Restaurants Neural Networks, Computer
View on PubMed DOI

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.

Applied clinical informatics Dec 18, 2019
BACKGROUND: In the hospital setting, it is crucial to identify patients at risk for deterioration before it fully develops, so providers can respond rapidly to reverse the deterioration. Rapid response (RR) activation criteria include a subjective co...
Survival Analysis Documentation Nurses Humans Hospital Rapid Response Team Unsupervised Machine Learning Hospitalization Data Mining Risk Assessment
View on PubMed DOI

Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Female Male Middle Aged Machine Learning Algorithms Databases, Factual Surgical Wound Infection Medical Records Predictive Value of Tests Humans Bayes Theorem Data Mining
View on PubMed DOI

ROBOKOP KG and KGB: Integrated Knowledge Graphs from Federated Sources.

Journal of chemical information and modeling Dec 12, 2019
A proliferation of data sources has led to the notional existence of an implicit Knowledge Graph (KG) that contains vast amounts of biological knowledge contributed by distributed Application Programming Interfaces (APIs). However, challenges arise w...
Knowledge Bases Data Mining Computer Graphics Databases, Factual User-Computer Interface
View on PubMed DOI

Analysis of disease comorbidity patterns in a large-scale China population.

BMC medical genomics Dec 12, 2019
BACKGROUND: Disease comorbidity is popular and has significant indications for disease progress and management. We aim to detect the general disease comorbidity patterns in Chinese populations using a large-scale clinical data set.
Genetic Association Studies Humans Models, Theoretical Machine Learning Hypertension Data Mining Algorithms Comorbidity Mental Disorders China Prognosis Genetic Predisposition to Disease
View on PubMed DOI
Popular Topics
Recent Journals