AIMC Topic: Hospital Mortality

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Machine learning for emerging infectious disease field responses.

Scientific reports Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
Preventive Medicine Communicable Diseases, Emerging Hospital Mortality Logistic Models Machine Learning Models, Theoretical Pandemics International Classification of Diseases COVID-19 SARS-CoV-2 Risk Factors Hospitalization Public Health Severity of Illness Index Humans
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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

PloS one Jan 6, 2022
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and efficient utilization of resources. Accessibility of electronic health records (EHR) has enabled data-driven predictive modeling using machine learning....
Humans Hospital Mortality Machine Learning ROC Curve Logistic Models Area Under Curve Databases, Factual Intensive Care Units Electronic Health Records Length of Stay
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Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.

Scientific reports Dec 24, 2021
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting in-hospital mortality in COVID-19 patients with AKI (AKI-COV score)....
Humans Machine Learning SARS-CoV-2 Risk Factors Aged Male COVID-19 Prospective Studies Acute Kidney Injury Female ROC Curve Area Under Curve Registries Middle Aged Comorbidity Hospital Mortality
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Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Frontiers in public health Dec 9, 2021
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to thei...
Humans Neoplasms Deep Learning Wearable Electronic Devices Hospital Mortality Actigraphy
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Short- and Long-Term Recovery after Moderate/Severe AKI in Patients with and without COVID-19.

Kidney360 Nov 29, 2021
BACKGROUND: Severe AKI is strongly associated with poor outcomes in coronavirus disease 2019 (COVID-19), but data on renal recovery are lacking.
Acute Kidney Injury Humans SARS-CoV-2 COVID-19 Risk Factors Retrospective Studies Hospital Mortality
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A Comparison of Models Predicting One-Year Mortality at Time of Admission.

Journal of pain and symptom management Nov 23, 2021
CONTEXT: Hospitalization provides an opportunity to address end-of-life care (EoLC) preferences if patients at risk of death can be accurately identified while in the hospital. The modified Hospital One-Year Mortality Risk (mHOMR) uses demographic an...
ROC Curve Logistic Models Machine Learning Retrospective Studies Hospitalization Hospital Mortality Humans
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A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19.

Scientific reports Oct 27, 2021
The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction mo...
Blood Cell Count SARS-CoV-2 Multivariate Analysis Rome Risk Factors Humans ROC Curve Pandemics Male Aged COVID-19 Machine Learning Models, Statistical Aged, 80 and over Middle Aged Female Oxygen Cohort Studies Blood Chemical Analysis Hospital Mortality
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Using Machine Learning to Establish Predictors of Mortality in Patients Undergoing Laparotomy for Emergency General Surgical Conditions.

World journal of surgery Oct 26, 2021
INTRODUCTION: Patients undergoing laparotomy for emergency general surgery (EGS) conditions, constitute a high-risk group with poor outcomes. These patients have a high prevalence of comorbidities. This study aims to identify patient factors, physiol...
Middle Aged Postoperative Complications Emergencies Comorbidity Hospital Mortality Laparotomy Humans Machine Learning Retrospective Studies Risk Factors
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Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

Journal of clinical laboratory analysis Oct 21, 2021
BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in the elevation of mortality. Red cell distribution width (RDW) can reflect body response to inflammation and oxidative stress. We try to investigate the...
Humans Machine Learning Shock, Septic Male Prognosis Thrombocytopenia Erythrocyte Indices Middle Aged Retrospective Studies Propensity Score Comorbidity Female Kaplan-Meier Estimate Hospital Mortality Aged
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Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

eLife Oct 18, 2021
An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and Decembe...
Middle Aged Hospitals Hospital Mortality ROC Curve Emergency Service, Hospital Italy X-Rays Risk Factors Aged Aged, 80 and over Male Algorithms Female SARS-CoV-2 Humans Machine Learning COVID-19
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