Machine learning for administrative health records: A systematic review of techniques and applications
Abstract Machine learning provides many powerful and effective techniques for analysing
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
[HTML][HTML] Readmission prediction using deep learning on electronic health records
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF)
patients that pose significant health risks and escalate care cost. In order to reduce …
patients that pose significant health risks and escalate care cost. In order to reduce …
A gradient boosting machine learning model for predicting early mortality in the emergency department triage: devising a nine-point triage score
Background Emergency departments (ED) are becoming increasingly overwhelmed,
increasing poor outcomes. Triage scores aim to optimize the waiting time and prioritize the …
increasing poor outcomes. Triage scores aim to optimize the waiting time and prioritize the …
A review of literature on risk prediction tools for hospital readmissions in older adults
ML Gatt, M Cassar, SC Buttigieg - Journal of Health Organization and …, 2022 - emerald.com
Purpose The purpose of this paper is to identify and analyse the readmission risk prediction
tools reported in the literature and their benefits when it comes to healthcare organisations …
tools reported in the literature and their benefits when it comes to healthcare organisations …
Extreme gradient boosting model has a better performance in predicting the risk of 90-day readmissions in patients with ischaemic stroke
Y Xu, X Yang, H Huang, C Peng, Y Ge, H Wu… - Journal of Stroke and …, 2019 - Elsevier
Object Ischemic stroke readmission within 90 days of hospital discharge is an important
quality of care metric. The readmission rates of ischemic stroke patients are usually higher …
quality of care metric. The readmission rates of ischemic stroke patients are usually higher …
Unplanned readmission within 28 days of hospital discharge in a longitudinal population-based cohort of older Australian women
DS Shebeshi, X Dolja-Gore, J Byles - International journal of …, 2020 - mdpi.com
This study aimed to estimate the incidence of 28-day unplanned readmission among older
women, and associated factors. Data were used from the 1921–1926 birth cohort of the …
women, and associated factors. Data were used from the 1921–1926 birth cohort of the …
Current trends in readmission prediction: an overview of approaches
Hospital readmission shortly after discharge threatens the quality of patient care and leads
to increased medical care costs. In the United States, hospitals with high readmission rates …
to increased medical care costs. In the United States, hospitals with high readmission rates …
[HTML][HTML] Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions
Background Emergency readmission poses an additional burden on both patients and
healthcare systems. Risk stratification is the first step of transitional care interventions …
healthcare systems. Risk stratification is the first step of transitional care interventions …
Too much information? The use of extraneous information to support decision‐making in emergency settings
Decision‐makers in emergency settings need to employ the breadth of evidence available
so as to inform critical judgments, yet the acute time pressure suggests that in some cases …
so as to inform critical judgments, yet the acute time pressure suggests that in some cases …
Predictors of short‐term hospitalization and emergency department presentations in aged care
Objectives To examine individual, medication, system, and healthcare related predictors of
hospitalization and emergency department (ED) presentation within 90 days of entering the …
hospitalization and emergency department (ED) presentation within 90 days of entering the …