[HTML][HTML] Predicting patient deterioration: a review of tools in the digital hospital setting
Background Early warning tools identify patients at risk of deterioration in hospitals.
Electronic medical records in hospitals offer real-time data and the opportunity to automate …
Electronic medical records in hospitals offer real-time data and the opportunity to automate …
[HTML][HTML] Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial
H Burdick, C Lam, S Mataraso, A Siefkas… - Computers in biology …, 2020 - Elsevier
Background Currently, physicians are limited in their ability to provide an accurate prognosis
for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying …
for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying …
[HTML][HTML] Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review
Background and objective Early identification of patients at risk of deterioration can prevent
life-threatening adverse events and shorten length of stay. Although there are numerous …
life-threatening adverse events and shorten length of stay. Although there are numerous …
[HTML][HTML] Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study
L Ryan, C Lam, S Mataraso, A Allen… - Annals of Medicine and …, 2020 - Elsevier
Rationale Prediction of patients at risk for mortality can help triage patients and assist in
resource allocation. Objectives Develop and evaluate a machine learning-based algorithm …
resource allocation. Objectives Develop and evaluate a machine learning-based algorithm …
[HTML][HTML] A racially unbiased, machine learning approach to prediction of mortality: algorithm development study
A Allen, S Mataraso, A Siefkas… - JMIR public health …, 2020 - publichealth.jmir.org
Background: Racial disparities in health care are well documented in the United States. As
machine learning methods become more common in health care settings, it is important to …
machine learning methods become more common in health care settings, it is important to …
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease
Mild cognitive impairment (MCI) is cognitive decline that can indicate future risk of
Alzheimer's disease (AD). We developed and validated a machine learning algorithm (MLA) …
Alzheimer's disease (AD). We developed and validated a machine learning algorithm (MLA) …
Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor
discovery that accounts for non-linearity and interaction in large biomedical databases with …
discovery that accounts for non-linearity and interaction in large biomedical databases with …
[HTML][HTML] Electronic cigarette–related contents on Instagram: observational study and exploratory analysis
Background: Instagram is a popular social networking platform for users to upload pictures
sharing their experiences. Instagram has been widely used by vaping companies and stores …
sharing their experiences. Instagram has been widely used by vaping companies and stores …
Development and structure of an accurate machine learning algorithm to predict inpatient mortality and hospice outcomes in the coronavirus disease 2019 era
Background: The coronavirus disease 2019 (COVID-19) pandemic has challenged the
accuracy and racial biases present in traditional mortality scores. An accurate prognostic …
accuracy and racial biases present in traditional mortality scores. An accurate prognostic …
Dynamic mortality risk predictions for children in ICUs: development and validation of machine learning models
EAT Rivera, JM Chamberlain, AK Patel… - Pediatric Critical Care …, 2022 - journals.lww.com
OBJECTIVES: Assess a machine learning method of serially updated mortality risk. DESIGN:
Retrospective analysis of a national database (Health Facts; Cerner Corporation, Kansas …
Retrospective analysis of a national database (Health Facts; Cerner Corporation, Kansas …