Forecasting daily attendances at an emergency department to aid resource planning. - Wikidata - awgldk - TriplyDB

Forecasting daily attendances at an emergency department to aid resource planning.

Forecasting daily attendances at an emergency department to aid resource planning.

http://www.wikidata.org/entity/Q33403902

about

An overview of health forecasting Time series modelling to forecast prehospital EMS demand for diabetic emergencies.Ensemble-based methods for forecasting census in hospital units.Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis Effects of weather and heliophysical conditions on emergency ambulance calls for elevated arterial blood pressure Long-term prediction of emergency department revenue and visitor volume using autoregressive integrated moving average model.Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali Emergency medicine: an operations management view.Emergency department attendance patterns during Ramadan.Forecasting daily emergency department visits using calendar variables and ambient temperature readings.Improvement in emergency department length of stay using a nurse-led 'emergency journey coordinator': a before/after study.Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models.Forecasting Daily Volume and Acuity of Patients in the Emergency Department.Time Series Analysis for Forecasting Hospital Census: Application to the Neonatal Intensive Care Unit.Forecasting the Emergency Department Patients Flow.Vector Autoregressive Models and Granger Causality in Time Series Analysis in Nursing Research: Dynamic Changes Among Vital Signs Prior to Cardiorespiratory Instability Events as an Example.Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs.Effects of weather conditions on emergency ambulance calls for acute coronary syndromes.Disease management with ARIMA model in time series.Improvement in emergency department length of stay using an early senior medical assessment and streaming model of care: A cohort study.Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan.

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P2860

Forecasting daily attendances at an emergency department to aid resource planning.

http://www.wikidata.org/entity/Q33403902

description

2009 nî lūn-bûn

@nan

2009 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

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2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

Forecasting daily attendances at an emergency department to aid resource planning.

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Forecasting daily attendances at an emergency department to aid resource planning.

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type

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Forecasting daily attendances at an emergency department to aid resource planning.

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Forecasting daily attendances at an emergency department to aid resource planning.

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Forecasting daily attendances at an emergency department to aid resource planning.

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BMC Emergency Medicine

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Forecasting daily attendances at an emergency department to aid resource planning.

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Bee Hoon Heng

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Eillyne Seow

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Yan Sun

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Yian Tay Seow

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P2860

Acute respiratory effects of particulate air pollution

Forecasting the demand on accident and emergency departments in health districts in the Trent region.

Models for forecasting hospital bed requirements in the acute sector.

Air pollution and mortality in elderly people: a time-series study in Sao Paulo, Brazil.

Particulate air pollution and hospital admissions for cardiorespiratory diseases: are the elderly at greater risk?

Predicting daily visits to a walk-in clinic and emergency department using calendar and weather data.

Ten-year follow-up of ARIMA forecasts of attendances at accident and emergency departments in the Trent region.

Evaluating disease management program effectiveness: an introduction to time-series analysis.

Forecasting demand of emergency care.

Modeling and forecasting monthly patient volume at a primary health care clinic using univariate time-series analysis.

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scholarly article

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10.1186/1471-227X-9-1

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2009-01-29T00:00:00Z

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