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Published in 2022 at "Pediatric Pulmonology"
DOI: 10.1002/ppul.26172
Abstract: Mortality prediction of congenital diaphragmatic hernia (CDH) is essential for developing treatment strategies, including fetal therapy. Several researchers have reported prognostic factors for this rare but life‐threatening condition; however, the optimal combination of prognostic factors…
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Keywords:
congenital diaphragmatic;
mortality prediction;
diaphragmatic hernia;
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Published in 2019 at "Journal of pain and symptom management"
DOI: 10.1016/j.jpainsymman.2019.09.011
Abstract: CONTEXT Uncertainties in prognosis remain a barrier to end-of-life (EOL) communication in the intensive care unit (ICU), thus strategies are needed for increasing the precision of prognosis and timeliness of EOL goals-of-care communication. Use of…
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Keywords:
communication;
goals care;
mortality;
mortality prediction ... See more keywords
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Published in 2019 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(19)30710-7
Abstract: Patients with acute myocardial infarction (AMI) are now commonly older adults (age ≥75). We therefore set out to develop a risk model for 6-month post-AMI mortality that was specifically designed for this population. SILVER-AMI is…
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Keywords:
older adults;
silver ami;
mortality prediction;
prediction older ... See more keywords
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Published in 2023 at "ASTIN Bulletin"
DOI: 10.1017/asb.2023.10
Abstract: Abstract The survival energy model (SEM) is a recently introduced novel approach to mortality prediction, which offers a cohort-wise distribution function of the time of death as the first hitting time of a “survival energy”…
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Keywords:
prediction;
energy models;
mortality prediction;
survival energy ... See more keywords
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Published in 2017 at "Renal Failure"
DOI: 10.1080/0886022x.2017.1323645
Abstract: Abstract Oxidative stress and inflammation are highly intertwined pathophysiological processes. We analyzed the markers of these processes and high-sensitive troponin I (hsTnI) for mortality prediction in patients on haemodialysis. This study enrolled a total of…
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Keywords:
hstni hscrp;
haemodialysis;
mortality;
hstni ... See more keywords
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Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac221
Abstract: Sudden changes in health care utilization during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic may have impacted the performance of clinical predictive models that were trained prior to the pandemic. In this study,…
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Keywords:
prediction algorithm;
patients cancer;
cov pandemic;
performance ... See more keywords
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Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000029714
Abstract: Various assessment methods based on the International Classification of Diseases, Tenth Edition, Clinical Modification (ICD-10-CM), such as ICD-10-CM Injury Severity Score (ICISS), trauma mortality prediction model (TMPM-ICD10), and injury mortality prediction (IMP-ICDX), are purely anatomic…
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Keywords:
icdx;
trauma;
trimp icdx;
mortality prediction ... See more keywords
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Published in 2022 at "Medical Care"
DOI: 10.1097/mlr.0000000000001720
Abstract: Background: It is unclear whether machine learning methods yield more accurate electronic health record (EHR) prediction models compared with traditional regression methods. Objective: The objective of this study was to compare machine learning and traditional…
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Keywords:
regression;
mortality prediction;
machine learning;
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Published in 2018 at "Journal of Trauma and Acute Care Surgery"
DOI: 10.1097/ta.0000000000002044
Abstract: BACKGROUND Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained contexts. We hypothesize that machine…
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Keywords:
machine learning;
mortality;
united states;
mortality prediction ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3197297
Abstract: Early detection of mortality in intensive care units (ICUs) is significant to improve patient survival. Since heterogeneous data can be collected from the intensive care unit, there are meaningful static features (e.g., ICU type, gender,…
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Keywords:
graph domain;
mortality;
mortality prediction;
domain aggregation ... See more keywords
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Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3068357
Abstract: Predicting mortality risk in patients accurately during and after intensive care unit (ICU) stay is an essential component for supporting critical care decision-making. To date, various scoring systems have been designed for survival analysis and…
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Keywords:
survival analysis;
model;
mortality prediction;
mortality ... See more keywords