Cargando…

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

BACKGROUND: Accurate detection of bleeding events from electronic health records (EHRs) is crucial for identifying and characterizing different common and serious medical problems. To extract such information from EHRs, it is essential to identify the relations between bleeding events and related cl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mitra, Avijit, Rawat, Bhanu Pratap Singh, McManus, David D, Yu, Hong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285744/ https://www.ncbi.nlm.nih.gov/pubmed/34255697 http://dx.doi.org/10.2196/27527

Ejemplares similares

Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach
por: Li, Rumeng, et al.
Publicado: (2019)

Deep learning detects and visualizes bleeding events in electronic health records
por: Pedersen, Jannik S., et al.
Publicado: (2021)

Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
por: Li, Fei, et al.
Publicado: (2019)

Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
por: Wang, Mengying, et al.
Publicado: (2022)

Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study
por: Jin, Yonghao, et al.
Publicado: (2019)

Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods
por: Christopoulou, Fenia, et al.
Publicado: (2019)

Scalable and accurate deep learning with electronic health records
por: Rajkomar, Alvin, et al.
Publicado: (2018)

Empirical advances with text mining of electronic health records
por: Delespierre, T., et al.
Publicado: (2017)

TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
por: Yang, Zhichao, et al.
Publicado: (2023)

Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models
por: Finke, Jan F., et al.
Publicado: (2023)

A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification
por: Madan, Parul, et al.
Publicado: (2022)

Classification of Indoor Human Fall Events Using Deep Learning
por: Sultana, Arifa, et al.
Publicado: (2021)

Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning
por: Li, Fei, et al.
Publicado: (2018)

Empiric Anticoagulation Therapy in Hospitalized COVID-19 Patients: An Evaluation of Bleeding Risk Scores Performances in Predicting Bleeding Events
por: Abdelrahman, Mona A., et al.
Publicado: (2022)

Digital payments and consumer experience in India: a survey based empirical study
por: Shree, Sudiksha, et al.
Publicado: (2021)

Exploring End-to-end Deep Learning Applications for Event Classification at CMS
por: Andrews, Michael Benjamin, et al.
Publicado: (2018)

A Deep Learning-Based Text Classification of Adverse Nursing Events
por: Lu, Wenjing, et al.
Publicado: (2021)

Deep representation learning of electronic health records to unlock patient stratification at scale
por: Landi, Isotta, et al.
Publicado: (2020)

Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records
por: Hur, Cinyoung, et al.
Publicado: (2020)

The application of unsupervised deep learning in predictive models using electronic health records
por: Wang, Lei, et al.
Publicado: (2020)

Treatment effect prediction with adversarial deep learning using electronic health records
por: Chu, Jiebin, et al.
Publicado: (2020)

Predicting hypertension onset from longitudinal electronic health records with deep learning
por: Datta, Suparno, et al.
Publicado: (2022)

An Empirical Investigation Into Deep and Shallow Rule Learning
por: Beck, Florian, et al.
Publicado: (2021)

Incidence of postural hypotension recorded in UK general practice: an electronic health records study
por: Bhanu, Cini, et al.
Publicado: (2022)

Deep learning for biometrics
por: Bhanu, Bir, et al.
Publicado: (2017)

Epidemic Surveillance Using an Electronic Medical Record: An Empiric Approach to Performance Improvement
por: Zheng, Hongzhang, et al.
Publicado: (2014)

Electronic Medical Records implementation in hospital: An empirical investigation of individual and organizational determinants
por: De Benedictis, Anna, et al.
Publicado: (2020)

Topology classification with deep learning to improve real-time event selection at the LHC
por: Nguyen, Thong Q., et al.
Publicado: (2018)

Adverse events recording in electronic health record systems in primary care
por: de Hoon, Sabine E. M., et al.
Publicado: (2017)

Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects
por: Jusseaume, Kameron, et al.
Publicado: (2022)

Pneumonia classification using quaternion deep learning
por: Singh, Sukhendra, et al.
Publicado: (2021)

Combining deep learning with token selection for patient phenotyping from electronic health records
por: Yang, Zhen, et al.
Publicado: (2020)

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System
por: Mantey, Eric Appiah, et al.
Publicado: (2022)

Online Continual Learning in Acoustic Scene Classification: An Empirical Study
por: Ha, Donghee, et al.
Publicado: (2023)

Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach
por: Li, Rui, et al.
Publicado: (2020)

Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
por: Shim, Soyun, et al.
Publicado: (2022)

Empirical comparison of deep learning methods for EEG decoding
por: de Oliveira, Iago Henrique, et al.
Publicado: (2023)

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction
por: Thapa, Niraj, et al.
Publicado: (2020)

Continuous robust sound event classification using time-frequency features and deep learning
por: McLoughlin, Ian, et al.
Publicado: (2017)

Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning
por: Yang, Shengqi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_jsi2q37j5mgvfruf6co64qesem