Cargando…

An approach to predicting patient experience through machine learning and social network analysis

OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system’s performance metrics portfolio. In this study, we developed a machine learning model to predict a patient’s response to the Hospital Consumer Assessment of Healthcare Providers and Systems survey’...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bari, Vitej, Hirsch, Jamie S, Narvaez, Joseph, Sardinia, Robert, Bock, Kevin R, Oppenheim, Michael I, Meytlis, Marsha
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727354/ https://www.ncbi.nlm.nih.gov/pubmed/33104210 http://dx.doi.org/10.1093/jamia/ocaa194

Ejemplares similares

Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model
por: Tóth, Viktor, et al.
Publicado: (2020)

Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals
por: Coppa, Kevin, et al.
Publicado: (2023)

From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2
por: Weaver, William N., et al.
Publicado: (2023)

Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system
por: Ogunyemi, Omolola I, et al.
Publicado: (2021)

Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia
por: Coombes, Caitlin E, et al.
Publicado: (2020)

PyGenePlexus: a Python package for gene discovery using network-based machine learning
por: Mancuso, Christopher A, et al.
Publicado: (2023)

ODNA: identification of organellar DNA by machine learning
por: Martin, Roman, et al.
Publicado: (2023)

Machine learning for early detection of sepsis: an internal and temporal validation study
por: Bedoya, Armando D, et al.
Publicado: (2020)

Comparative Analysis of COVID-19 X-ray Images Classification Using Convolutional Neural Network, Transfer Learning, and Machine Learning Classifiers Using Deep Features
por: Rekha Rajagopal
Publicado: (2021)

Machine learning for initial insulin estimation in hospitalized patients
por: Nguyen, Minh, et al.
Publicado: (2021)

Application of machine learning methods in clinical trials for precision medicine
por: Wang, Yizhuo, et al.
Publicado: (2022)

mOWL: Python library for machine learning with biomedical ontologies
por: Zhapa-Camacho, Fernando, et al.
Publicado: (2022)

Genome mining for anti-CRISPR operons using machine learning
por: Yang, Bowen, et al.
Publicado: (2023)

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods
por: Romano, Joseph D, et al.
Publicado: (2021)

POOL server: machine learning application for functional site prediction in proteins
por: Somarowthu, Srinivas, et al.
Publicado: (2012)

ClinicNet: machine learning for personalized clinical order set recommendations
por: Wang, Jonathan X, et al.
Publicado: (2020)

Scalable machine learning-assisted model exploration and inference using Sciope
por: Singh, Prashant, et al.
Publicado: (2020)

Comparison and interpretability of machine learning models to predict severity of chest injury
por: Kulshrestha, Sujay, et al.
Publicado: (2021)

mlr3proba: an R package for machine learning in survival analysis
por: Sonabend, Raphael, et al.
Publicado: (2021)

Aliro: an automated machine learning tool leveraging large language models
por: Choi, Hyunjun, et al.
Publicado: (2023)

Privacy-preserving model learning on a blockchain network-of-networks
por: Kuo, Tsung-Ting, et al.
Publicado: (2020)

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record
por: Liu, Siru, et al.
Publicado: (2022)

Trends in anesthesiology research: a machine learning approach to theme discovery and summarization
por: Rusanov, Alexander, et al.
Publicado: (2018)

Predictive modeling in urgent care: a comparative study of machine learning approaches
por: Tang, Fengyi, et al.
Publicado: (2018)

Machine learning identifies girls with central precocious puberty based on multisource data
por: Pan, Liyan, et al.
Publicado: (2020)

Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning
por: Cossin, Sebastien, et al.
Publicado: (2021)

Quantifying representativeness in randomized clinical trials using machine learning fairness metrics
por: Qi, Miao, et al.
Publicado: (2021)

Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis
por: Docherty, Matt, et al.
Publicado: (2021)

Gilda: biomedical entity text normalization with machine-learned disambiguation as a service
por: Gyori, Benjamin M, et al.
Publicado: (2022)

Imputation and characterization of uncoded self-harm in major mental illness using machine learning
por: Kumar, Praveen, et al.
Publicado: (2019)

Species complex delimitations in the genus Hedychium: A machine learning approach for cluster discovery
por: Saryan, Preeti, et al.
Publicado: (2020)

Predicting 72-hour and 9-day return to the emergency department using machine learning
por: Hong, Woo Suk, et al.
Publicado: (2019)

Natural language processing-driven state machines to extract social factors from unstructured clinical documentation
por: Allen, Katie S, et al.
Publicado: (2023)

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis
por: Perotte, Adler, et al.
Publicado: (2015)

Using statistical and machine learning to help institutions detect suspicious access to electronic health records
por: Boxwala, Aziz A, et al.
Publicado: (2011)

GNL-Scorer: a generalized model for predicting CRISPR on-target activity by machine learning and featurization
por: Wang, Jun, et al.
Publicado: (2020)

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
por: Song, Wenyu, et al.
Publicado: (2022)

Bias or biology? Importance of model interpretation in machine learning studies from electronic health records
por: Momenzadeh, Amanda, et al.
Publicado: (2022)

GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations
por: Dickson, Andrew, et al.
Publicado: (2023)

CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis
por: Stirling, David R, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_19pf9fvp91or2df2jdt5ub5beb