AIMC Topic: Hospitalization
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Palliative Care Exposure Relative to Predicted Risk of Six-Month Mortality in Hospitalized Adults.
Journal of pain and symptom management
Jan 23, 2022
CONTEXT: The optimal strategy for implementing mortality-predicting algorithms to facilitate clinical care, prognostic discussions, and palliative care interventions remains unknown.
Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.
Journal of cellular and molecular medicine
Jan 22, 2022
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death,...
Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.
PloS one
Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.
IEEE journal of biomedical and health informatics
Jan 17, 2022
The ability to perform accurate prognosis is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes. We present a...
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...
[Artificial intelligence for medical information departments : construction and evaluation of a decision-making tool to identify and prioritize stays of which the PMSI coding could be optimized, and to ensure the revenues generated by activity-based pricing].
Revue d'epidemiologie et de sante publique
Jan 11, 2022
BACKGROUND: Medical Information Departments help to optimize the hospital revenues generated by activity-based pricing. A review of medical files, selected after the targeting of coding summaries, is organized. The aim is to make any corrections to t...
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...
Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution.
Medical & biological engineering & computing
Jan 7, 2022
COVID-19 cases are increasing around the globe with almost 5 million of deaths. We propose here a deep learning model capable of predicting the duration of the infection by means of information available at hospital admission. A total of 222 patients...
Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.
Anaesthesia, critical care & pain medicine
Dec 27, 2021
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significan...
A Novel Deep Learning-Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study.
Journal of medical Internet research
Dec 27, 2021
BACKGROUND: Emergency department (ED) crowding has resulted in delayed patient treatment and has become a universal health care problem. Although a triage system, such as the 5-level emergency severity index, somewhat improves the process of ED treat...
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