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Showing 316-336 of 12,096 articles

Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypogly...

May 2020 PMID: 32414887

QUATgo: Protein quaternary structural attributes predicted by two-stage machine learning approaches with heterogeneous feature encoding.

Many proteins exist in natures as oligomers with various quaternary structural attributes rather tha...

Apr 2020 PMID: 32348325

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.

Effective management of chronic constrictive pulmonary conditions lies in proper and timely administ...

Apr 2020 PMID: 32326271

A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.

OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis an...

Apr 2020 PMID: 32298846

DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure.

Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. ...

Mar 2020 PMID: 32216817

Molecular and DNA Artificial Neural Networks via Fractional Coding.

This article considers implementation of artificial neural networks (ANNs) using molecular computing...

Mar 2020 PMID: 32149654

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.

Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...

Mar 2020 PMID: 33816907

Coding with transient trajectories in recurrent neural networks.

Following a stimulus, the neural response typically strongly varies in time and across neurons befor...

Feb 2020 PMID: 32053594

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.

In this paper, we present an effective deep prediction framework based on robust recurrent neural ne...

Jan 2020 PMID: 31991306

Using artificial intelligence to analyse and teach communication in healthcare.

Communication is a core component of effective healthcare that impacts many patient and doctor outco...

Jan 2020 PMID: 32007704

Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.

Sensory processing is increasingly conceived in a predictive framework in which neurons would consta...

Jan 2020 PMID: 31951798

Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.

One of the modern trends in the design of human-machine interfaces (HMI) is to involve the so called...

Jan 2020 PMID: 31963143

Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

PURPOSE: Identification of patients for epidemiologic research through administrative coding has imp...

Jan 2020 PMID: 31945587

Long Short-Term Memory Recurrent Neural Networks for Multiple Diseases Risk Prediction by Leveraging Longitudinal Medical Records.

Individuals suffer from chronic diseases without being identified in time, which brings lots of burd...

Dec 2019 PMID: 31880573

Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).

Fetal yawning is of interest because of its clinical, developmental and theoretical implications. Ho...

Dec 2019 PMID: 31856250

Browse Specialties

Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

QUATgo: Protein quaternary structural attributes predicted by two-stage machine learning approaches with heterogeneous feature encoding.

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.

A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.

DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure.

Molecular and DNA Artificial Neural Networks via Fractional Coding.

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.

Coding with transient trajectories in recurrent neural networks.

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.

Using artificial intelligence to analyse and teach communication in healthcare.

Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.

Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.

Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

Long Short-Term Memory Recurrent Neural Networks for Multiple Diseases Risk Prediction by Leveraging Longitudinal Medical Records.

Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).

Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.

Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

A Deep Learning-Based End-to-End Composite System for Hand Detection and Gesture Recognition.

Is coding a relevant metaphor for building AI?

Ranking of non-coding pathogenic variants and putative essential regions of the human genome.

Complete mitochondrial genome of (Lepidoptera: Uraniidae).

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