AIMC Topic: Mortality

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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Hypertension Body Mass Index Bayes Theorem Ascites Hypoalbuminemia Male Middle Aged Risk Assessment Respiration, Artificial Weight Loss Multivariate Analysis Odds Ratio Serum Albumin Mortality Preoperative Care Laminectomy Dyspnea Blood Coagulation Disorders Smoking Metastasectomy Spinal Neoplasms Humans Machine Learning Female Aged Pulmonary Disease, Chronic Obstructive
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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

Scientific reports Oct 30, 2020
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates accurate prognosis prediction to triage patients effectively. This study used the nationwide cohort of South Korea to develop a machine learning model ...
Male Middle Aged Models, Statistical Republic of Korea Pneumonia, Viral Humans Coronavirus Infections Female Mortality Machine Learning Aged Pandemics Aged, 80 and over COVID-19 Adult
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Coronary Artery Disease Sex Factors Intensive Care Units Age Factors Proportional Hazards Models Female Artificial Intelligence Radiography Radiography, Thoracic SARS-CoV-2 COVID-19 Pulmonary Disease, Chronic Obstructive Emergency Service, Hospital Hospitalization Humans Mortality Prognosis Male Italy Aged Retrospective Studies Middle Aged Neurodegenerative Diseases Tomography, X-Ray Computed Comorbidity Severity of Illness Index Deep Learning
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Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

Scandinavian journal of trauma, resuscitation and emergency medicine Sep 11, 2020
BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in ...
Mortality Models, Statistical Taiwan Emergency Service, Hospital Myocardial Infarction Chest Pain Humans Artificial Intelligence Algorithms Female Aged Young Adult Adult Sensitivity and Specificity Male Middle Aged Risk Assessment
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Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.

BMC medical informatics and decision making Sep 7, 2020
BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for imple...
Humans Machine Learning Prospective Studies Prognosis Young Adult Adult Male Middle Aged Adolescent Patient Admission Electronic Health Records Female Hospitalization Aged Aged, 80 and over Mortality
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A machine learning approach for mortality prediction only using non-invasive parameters.

Medical & biological engineering & computing Jul 20, 2020
At present, the traditional scoring methods generally utilize laboratory measurements to predict mortality. It results in difficulties of early mortality prediction in the rural areas lack of professional laboratorians and medical laboratory equipmen...
Humans Machine Learning Algorithms Hospital Mortality Female Area Under Curve Reproducibility of Results Critical Care Male Mortality
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.

Nature medicine May 11, 2020
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart. Here we hypothesized that a deep neural network (DNN) can predict an important future clinical event...
Adult Male Middle Aged Prognosis Humans Risk Assessment Mortality Retrospective Studies ROC Curve Neural Networks, Computer Deep Learning Cardiologists Female Electrocardiography Algorithms Aged Area Under Curve Aged, 80 and over Cause of Death Proportional Hazards Models
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Update to 'Deep-learning model for predicting 30-day postoperative mortality' (Br J Anaesth 2019; 123: 688-95).

British journal of anaesthesia May 7, 2020
Mortality Humans Forecasting Deep Learning Postoperative Period
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Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Scientific reports May 4, 2020
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-learning algorithms for proper prognosis prediction. A total of 1,730 peritoneal dialysis patients in the CRC for ESRD prospective cohort from 2008 to 20...
Middle Aged Predictive Value of Tests Models, Biological Mortality Peritoneal Dialysis Female Risk Factors Aged Adult Male Humans Machine Learning Prospective Studies Republic of Korea
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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
Male Middle Aged Severity of Illness Index ROC Curve Area Under Curve APACHE Organ Dysfunction Scores Mortality Humans Republic of Korea Machine Learning Female Algorithms Risk Factors Continuous Renal Replacement Therapy Aged Acute Kidney Injury Aged, 80 and over
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