Cargando…

Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume

IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk. OBJECTIVE: To determine the performance of a new time-series machine learning method for forecasting hospi...

Descripción completa

Detalles Bibliográficos
Autores principales:	McCoy, Thomas H., Pellegrini, Amelia M., Perlis, Roy H.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Medical Association 2018
Materias:	Original Investigation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324591/ https://www.ncbi.nlm.nih.gov/pubmed/30646340 http://dx.doi.org/10.1001/jamanetworkopen.2018.4087

Ejemplares similares

Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts
por: Castro, Victor M., et al.
Publicado: (2020)

Differences among Research Domain Criteria score trajectories by Diagnostic and Statistical Manual categorical diagnosis during inpatient hospitalization
por: McCoy, Thomas H., et al.
Publicado: (2020)

Using phenome-wide association to investigate the function of a schizophrenia risk locus at SLC39A8
por: McCoy, Thomas H., et al.
Publicado: (2019)

Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study
por: McCoy, Thomas H., et al.
Publicado: (2015)

Prevalence and Nature of Financial Considerations Documented in Narrative Clinical Records in Intensive Care Units
por: Gordon, Deborah D., et al.
Publicado: (2018)

Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods
por: Skaljic, Meliha, et al.
Publicado: (2019)

Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes
por: Boag, William, et al.
Publicado: (2021)

Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults
por: Wilimitis, Drew, et al.
Publicado: (2022)

Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models
por: Hughes, Michael C., et al.
Publicado: (2020)

How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
por: Jacobs, Maia, et al.
Publicado: (2021)

Assessment of the Performance Consistency of an Adverse Outcome Prediction Tool for Patients Hospitalized With COVID-19
por: Castro, Victor M., et al.
Publicado: (2021)

Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity
por: Clapp, Mark A., et al.
Publicado: (2022)

Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
por: Castro, Victor M., et al.
Publicado: (2020)

A Tool to Utilize Adverse Effect Profiles to Identify Brain-Active Medications for Repurposing
por: McCoy, Thomas H., et al.
Publicado: (2015)

Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
por: Rumshisky, A, et al.
Publicado: (2016)

Forecasting Hospital Readmissions with Machine Learning
por: Michailidis, Panagiotis, et al.
Publicado: (2022)

Development and External Validation of a Delirium Prediction Model for Hospitalized Patients With Coronavirus Disease 2019
por: Castro, Victor M., et al.
Publicado: (2021)

An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology
por: Lai, Mallory, et al.
Publicado: (2023)

Long-term time-series pollution forecast using statistical and deep learning methods
por: Nath, Pritthijit, et al.
Publicado: (2021)

Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 academic health systems
por: Castro, Victor M., et al.
Publicado: (2022)

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
por: Olsavszky, Victor, et al.
Publicado: (2020)

A unified machine learning approach to time series forecasting applied to demand at emergency departments
por: Vollmer, Michaela A.C., et al.
Publicado: (2021)

Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation's Blood Supply
por: Shih, Han, et al.
Publicado: (2019)

Time-series forecasting /
por: Chatfield, Christopher
Publicado: (2000)

Time-Series Forecasting
por: Chatfield, Chris
Publicado: (2000)

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
por: Kumar, Yogesh, et al.
Publicado: (2022)

Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Trends, structural changes, and assessment of time series models for forecasting hospital discharge due to death at a Mexican tertiary care hospital
por: Rodea-Montero, Edel Rafael, et al.
Publicado: (2021)

Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care
por: Safavi, Kyan C., et al.
Publicado: (2019)

Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
por: Mudassir, Mohammed, et al.
Publicado: (2020)

Retrospective analysis and time series forecasting with automated machine learning of ascariasis, enterobiasis and cystic echinococcosis in Romania
por: Benecke, Johannes, et al.
Publicado: (2021)

Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
por: Vishwakarma, Dinesh Kumar, et al.
Publicado: (2023)

Machine learning-based forecasting of firemen ambulances’ turnaround time in hospitals, considering the COVID-19 impact
por: Cerna, Selene, et al.
Publicado: (2021)

Time series forecasting methods in emergency contexts
por: Villoria Hernandez, P., et al.
Publicado: (2023)

Introduction to time series and forecasting
por: Brockwell, Peter, et al.
Publicado: (2002)

Introduction to time series and forecasting
por: Brockwell, Peter J, et al.
Publicado: (1996)

Introduction to time series and forecasting
por: Brockwell, Peter J, et al.
Publicado: (2016)

Introduction to time series and forecasting /
por: Brockwell, Peter J.
Publicado: (2002)

Time series and forecasting with IDA /
por: Roberts, Harry V.
Publicado: (1984)

Introduction to time series and forecasting /
por: Brockwell, Peter J.
Publicado: (1996)

Cannot write session to /tmp/vufind_sessions/sess_5vuvpbolp28hhknpniocai3pnu