AIMC Topic: Hospital Mortality

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Factors associated with COVID-19 lethality in a hospital in the Cajamarca region in Peru.

Revista peruana de medicina experimental y salud publica Apr 1, 2022
OBJECTIVE.: To identify the clinical and epidemiological characteristics related to lethality in patients hospitalized for COVID-19 at the Simón Bolívar Hospital in Cajamarca, during June-August 2020.
Ivermectin Peru Retrospective Studies Hospitalization SARS-CoV-2 Humans Aged COVID-19 Risk Factors Middle Aged Hospitals Hospital Mortality COVID-19 Testing
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Comparative analysis of explainable machine learning prediction models for hospital mortality.

BMC medical research methodology Feb 27, 2022
BACKGROUND: Machine learning (ML) holds the promise of becoming an essential tool for utilising the increasing amount of clinical data available for analysis and clinical decision support. However, the lack of trust in the models has limited the acce...
Humans Machine Learning Logistic Models Bayes Theorem Algorithms Hospital Mortality
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Learning Predictive and Interpretable Timeseries Summaries from ICU Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Machine learning models that utilize patient data across time (rather than just the most recent measurements) have increased performance for many risk stratification tasks in the intensive care unit. However, many of these models and their learned re...
Humans Machine Learning Hospital Mortality Intensive Care Units
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Early heart rate variability evaluation enables to predict ICU patients' outcome.

Scientific reports Feb 15, 2022
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activity, and a relation between HRV and outcome has been proposed in various types of patients. We attempted to evaluate the best determinants of such var...
Neural Networks, Computer Respiration, Artificial Humans Machine Learning Severity of Illness Index Prognosis Heart Rate Prospective Studies Length of Stay Intensive Care Units Respiratory Function Tests Female Hospital Mortality Patient Admission Aged Electrocardiography Male Oxygen Saturation Middle Aged
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Developing machine learning models for prediction of mortality in the medical intensive care unit.

Computer methods and programs in biomedicine Jan 26, 2022
BACKGROUND AND OBJECTIVE: Alert of patient deterioration is essential for prompt medical intervention in the Medical Intensive Care Unit (MICU). Logistic Regression (LR) has been used for the development of most conventional severity-of-illness scori...
Adult Hospital Mortality Models, Statistical Bayes Theorem Machine Learning Databases, Factual Intensive Care Units Humans
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Machine Learning Approaches-Driven for Mortality Prediction for Patients Undergoing Craniotomy in ICU.

Brain injury Jan 26, 2022
OBJECTIVES: We aimed to predict the mortality of patients with craniotomy in ICU by using predictive models to extract the high-risk factors leading to the death of patients from a retrospective a study.
Retrospective Studies Intensive Care Units Craniotomy Hospital Mortality Humans Machine Learning
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Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

PloS one Jan 24, 2022
Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatment of this group of diseases represent a significant challenge for clinicians. The epidemiology of ACS is extremely complex and the relationship betw...
Middle East Humans Machine Learning Hospital Mortality Registries Anemia Middle Aged Acute Coronary Syndrome Female Risk Assessment Patient Admission Aged Comorbidity Models, Cardiovascular Male
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Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

IEEE journal of biomedical and health informatics Jan 17, 2022
Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to in-hospital mortality. Assessing the likelihood of death is a challenging and time-consuming task due to a large number of influencing factors. Healthcare p...
Humans Intensive Care Units Critical Care Deep Learning Hospital Mortality Diabetes Mellitus
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Evaluating pointwise reliability of machine learning prediction.

Journal of biomedical informatics Jan 15, 2022
Interest in Machine Learning applications to tackle clinical and biological problems is increasing. This is driven by promising results reported in many research papers, the increasing number of AI-based software products, and by the general interest...
Hospital Mortality Machine Learning Software Reproducibility of Results Artificial Intelligence
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Machine Learning-Based Mortality Prediction of Patients at Risk During Hospital Admission.

Journal of patient safety Jan 13, 2022
OBJECTIVES: The ability to predict in-hospital mortality from data available at hospital admission would identify patients at risk and thereby assist hospital-wide patient safety initiatives. Our aim was to use modern machine learning tools to predic...
Hospital Mortality Risk Assessment Hospitals Humans Machine Learning Retrospective Studies Hospitalization Adult
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