Development of mortality prediction models for infants with isolated, left‐sided congenital diaphragmatic hernia before and after birth
Sign Up to like & getrecommendations! 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… read more here.
Keywords: congenital diaphragmatic; mortality prediction; diaphragmatic hernia;
The Acceptability and Feasibility of Using Mortality Prediction Scores for Initiating End-of-Life Goals of Care Communication in the Adult Intensive Care Unit.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: communication; goals care; mortality; mortality prediction ... See more keywords
MORTALITY PREDICTION FOR OLDER ADULTS WITH AMI: THE SILVER-AMI STUDY
Sign Up to like & getrecommendations! 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… read more here.
Keywords: older adults; silver ami; mortality prediction; prediction older ... See more keywords
Survival energy models for mortality prediction and future prospects
Sign Up to like & getrecommendations! 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”… read more here.
Keywords: prediction; energy models; mortality prediction; survival energy ... See more keywords
Utility of pneumonia severity assessment tools for mortality prediction in healthcare-associated pneumonia: a systematic review and meta-analysis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63618-3
Abstract: Accurate prognostic tools for mortality in patients with healthcare-associated pneumonia (HCAP) are needed to provide appropriate medical care, but the efficacy for mortality prediction of tools like PSI, A-DROP, I-ROAD, and CURB-65, widely used for… read more here.
Keywords: mortality; mortality prediction; assessment tools; severity assessment ... See more keywords
Prooxidant–antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up
Sign Up to like & getrecommendations! 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… read more here.
Keywords: hstni hscrp; haemodialysis; mortality; hstni ... See more keywords
Digitisation of electrocardiographic images enable artificial intelligence-based mortality prediction
Sign Up to like & getrecommendations! Published in 2024 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehae666.3473
Abstract: Artificial intelligence-based electrocardiogram (AI-ECG) models have shown excellent performance in a vast number of diagnostic and prognostic tasks. One of such tasks, which is critical for patient risk stratification and clinical intervention, is the prediction… read more here.
Keywords: digital digitised; ecg; digitisation; mortality prediction ... See more keywords
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: prediction algorithm; patients cancer; cov pandemic; performance ... See more keywords
Traumatic injury mortality prediction (TRIMP-ICDX): A new comprehensive evaluation model according to the ICD-10-CM codes
Sign Up to like & getrecommendations! 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… read more here.
Keywords: icdx; trauma; trimp icdx; mortality prediction ... See more keywords
Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: regression; mortality prediction; machine learning;
Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: machine learning; mortality; united states; mortality prediction ... See more keywords