Cargando…

Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study

BACKGROUND: Asthma hospital visits, including emergency department visits and inpatient stays, are a significant burden on health care. To leverage preventive care more effectively in managing asthma, we previously employed machine learning and data from the University of Washington Medicine (UWM) t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Xiaoyi, Luo, Gang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218884/ https://www.ncbi.nlm.nih.gov/pubmed/35675129 http://dx.doi.org/10.2196/38220

Ejemplares similares

Ranking Rule-Based Automatic Explanations for Machine Learning Predictions on Asthma Hospital Encounters in Patients With Asthma: Retrospective Cohort Study
por: Zhang, Xiaoyi, et al.
Publicado: (2021)

Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis
por: Luo, Gang, et al.
Publicado: (2020)

Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis
por: Luo, Gang, et al.
Publicado: (2021)

Machine Learning Techniques to Predict Timeliness of Care among Lung Cancer Patients
por: Earnest, Arul, et al.
Publicado: (2023)

Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study
por: Tong, Yao, et al.
Publicado: (2022)

Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study
por: Zeng, Siyang, et al.
Publicado: (2022)

Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study
por: Peng, Junfeng, et al.
Publicado: (2020)

Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach
por: Ward, Patrick J., et al.
Publicado: (2019)

Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study
por: Zeng, Siyang, et al.
Publicado: (2022)

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study
por: Westcott, Jill M, et al.
Publicado: (2022)

Machine Learning-Based Analyses of the Effects of Various Types of Air Pollutants on Hospital Visits by Asthma Patients
por: Lee, Soyeon, et al.
Publicado: (2022)

Timeliness in chronic kidney disease and albuminuria identification: a retrospective cohort study
por: Fraser, Simon DS, et al.
Publicado: (2015)

Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study
por: Li, Le, et al.
Publicado: (2023)

Assessment of the timeliness and robustness for predicting adult sepsis
por: Guan, Yuanfang, et al.
Publicado: (2021)

Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data
por: Xu, Xiao, et al.
Publicado: (2023)

The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study
por: Xiao, Jialong, et al.
Publicado: (2022)

Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study
por: Schallmoser, Simon, et al.
Publicado: (2023)

Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study
por: Yang, Xulin, et al.
Publicado: (2023)

Vaccination timeliness and completeness among preterm and low birthweight infants: a national cohort study
por: Bary-Weisberg, Dov, et al.
Publicado: (2020)

Predicting phenotypes of asthma and eczema with machine learning
por: Prosperi, Mattia CF, et al.
Publicado: (2014)

A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study
por: Fang, Cheng, et al.
Publicado: (2022)

Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis
por: Luo, Gang, et al.
Publicado: (2020)

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study
por: Kim, Hyung-Jun, et al.
Publicado: (2020)

The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study
por: Zhang, Yichao, et al.
Publicado: (2022)

Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study
por: Oh, Sarah Soyeon, et al.
Publicado: (2023)

Adequacy and timeliness of antenatal care visits among Ethiopian women: a community-based panel study
por: Shiferaw, Kasiye, et al.
Publicado: (2021)

Timeliness of diagnosis in Motor Neurone Disease: a population-based study
por: Donaghy, Colette, et al.
Publicado: (2008)

Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning
por: Li, Kai, et al.
Publicado: (2022)

Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study
por: Tong, Yao, et al.
Publicado: (2021)

Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study
por: Yu, Cheng-Sheng, et al.
Publicado: (2020)

Descriptive analysis of routine childhood immunisation timeliness in the Western Cape, South Africa
por: Blose, Ntombifuthi, et al.
Publicado: (2021)

Timeliness of administration of vasopressors in CPR
por: Grmec, Stefek, et al.
Publicado: (2009)

Evaluation of the Timeliness of Psychiatric Consultations
por: Langheim, Frederick JP, et al.
Publicado: (2014)

Timeliness of childhood vaccinations in the Philippines
por: Raguindin, Peter Francis, et al.
Publicado: (2021)

Using Timeliness in Tracking Infections †
por: Bastopcu, Melih, et al.
Publicado: (2022)

Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis
por: Luo, Gang, et al.
Publicado: (2020)

Rates and timeliness of treatment initiation among drug-resistant tuberculosis patients in Nigeria- A retrospective cohort study
por: Oga-Omenka, Charity, et al.
Publicado: (2019)

Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning
por: Sanderson, Michael, et al.
Publicado: (2020)

Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach
por: Gopukumar, Deepika, et al.
Publicado: (2022)

Predicting self-intercepted medication ordering errors using machine learning
por: King, Christopher Ryan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_pskqdikc9jb36p0ft9gmnkdcoi