ArticleInternational journal of environmental research and public health2020
Machine Learning for Mortality Analysis in Patients with COVID-19.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis.International journal of medical informatics · 2022Pooled it
- O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies.BMC medical informatics and decision making · 2024Article
- Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves.Viruses · 2023Article
- A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques.Diagnostics (Basel, Switzerland) · 2023Review
- Predicting the COVID-19 mortality among Iranian patients using tree-based models: A cross-sectional study.Health science reports · 2023Article
- Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study.Frontiers in medicine · 2023Article
- Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules.Biomedicines · 2022Article
- COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.European radiology · 2022Article
- Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States.Healthcare (Basel, Switzerland) · 2022Article
- Article
- Influence of Co-morbidities During SARS-CoV-2 Infection in an Indian Population.Frontiers in medicine · 2022Article
- Deep forest model for diagnosing COVID-19 from routine blood tests.Scientific reports · 2021Article
- Clinical Characteristics and Outcome of Patients with Suspected COVID-19 in Emergency Department (RESILIENCY Study II).Diagnostics (Basel, Switzerland) · 2021Article
- Article
- Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients.International journal of environmental research and public health · 2021Article
- Using machine learning to create a decision tree model to predict outcomes of COVID-19 cases in the Philippines.Western Pacific surveillance and response journal : WPSARArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.