AIMC Topic: Hospital Mortality

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Validation of the Al-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator in Patients 65 Years and Older.

Annals of surgery Dec 23, 2020
OBJECTIVE: We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) tool in elderly emergency surgery (ES) patients.
Humans Artificial Intelligence Aged, 80 and over Male Risk Assessment Postoperative Complications Hospital Mortality Databases, Factual Female Risk Factors Aged
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Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).
Retrospective Studies Adult Hospital Mortality Middle Aged Injury Severity Score Humans Treatment Outcome Respiration, Artificial Brain Injuries, Traumatic Cohort Studies Models, Statistical Machine Learning Forecasting Prognosis
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Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost.

Journal of translational medicine Dec 7, 2020
BACKGROUND: Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible predicti...
ROC Curve Logistic Models Humans Machine Learning Sepsis Hospital Mortality
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Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach.

Scientific reports Dec 4, 2020
Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes in ICUs today require laborious manual input of many complex parameters. In this work, we present a scheme that uses variation...
Algorithms Intensive Care Units Female Aged Aged, 80 and over Risk Assessment Humans Adolescent Neural Networks, Computer Hospital Mortality Patient Acuity Young Adult Vital Signs Adult Male Middle Aged
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Journal of medical Internet research Nov 6, 2020
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...
New York City Betacoronavirus Pneumonia, Viral Cohort Studies Hospital Mortality ROC Curve Coronavirus Infections Aged Aged, 80 and over Young Adult Adult Electronic Health Records Male Female Middle Aged Pandemics SARS-CoV-2 Risk Assessment Hospitalization COVID-19 Hospitals Prognosis Adolescent Acute Kidney Injury Humans Machine Learning
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Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

BMC medical informatics and decision making Oct 27, 2020
BACKGROUND: Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of adverse...
Male Severity of Illness Index Sepsis Humans Retrospective Studies Hospital Mortality Time Factors Machine Learning Decision Support Systems, Clinical Intensive Care Units Algorithms Female Predictive Value of Tests Forecasting Reproducibility of Results Datasets as Topic Time-to-Treatment
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A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.

JMIR public health and surveillance Oct 22, 2020
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 ensure that these methods do not contribute to racial disparities throu...
Electronic Health Records Female Aged Adult Male Middle Aged Humans Cohort Studies Early Warning Score Machine Learning Hospital Mortality Simplified Acute Physiology Score Algorithms APACHE Forecasting Retrospective Studies
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The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

The Journal of surgical research Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Patient Readmission Quality Improvement Aged Herniorrhaphy Aged, 80 and over Hospital Mortality Middle Aged Hernia, Inguinal Young Adult Logistic Models Risk Assessment Humans Adult Treatment Outcome Postoperative Complications Male Neural Networks, Computer Elective Surgical Procedures Adolescent Female Feasibility Studies Risk Factors
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A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare.

BMC medical informatics and decision making Oct 8, 2020
BACKGROUND: There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches to explaining complex machin...
Intensive Care Units, Pediatric Focus Groups Health Personnel Delivery of Health Care Humans Qualitative Research Machine Learning Child Hospital Mortality
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Sampling methods and feature selection for mortality prediction with neural networks.

Journal of biomedical informatics Oct 5, 2020
Along with digitization, automatic data-driven decision support systems become increasingly popular. Mortality prediction is a vital part of that decision process. With more data available, sophisticated machine learning models like (Artificial) Neur...
Neural Networks, Computer Machine Learning Reproducibility of Results Hospital Mortality ROC Curve
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