AIMC Topic: Hospitalization
Clear Filters Showing 231 to 240 of 481 articles
A Machine Learning Model Approach to Risk-Stratify Patients With Gastrointestinal Cancer for Hospitalization and Mortality Outcomes.
International journal of radiation oncology, biology, physics
Apr 29, 2021
PURPOSE: Patients with gastrointestinal (GI) cancer frequently experience unplanned hospitalizations, but predictive tools to identify high-risk patients are lacking. We developed a machine learning model to identify high-risk patients.
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.
PloS one
Apr 21, 2021
BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.
A scalable approach for developing clinical risk prediction applications in different hospitals.
Journal of biomedical informatics
Apr 20, 2021
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few effort...
Harnessing artificial intelligence in cardiac rehabilitation, a systematic review.
Future cardiology
Apr 16, 2021
This systematic review aims to evaluate the current body of research surrounding the efficacy of artificial intelligence (AI) in cardiac rehabilitation. Presently, AI can be incorporated into personal devices such as smart watches and smartphones, i...
Identification of pediatric respiratory diseases using a fine-grained diagnosis system.
Journal of biomedical informatics
Apr 6, 2021
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection (RTI), are among the most common diseases in clinics. The similarities among the symptoms of these diseases precludes prompt diagnosis upon the patie...
Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach.
The International journal of eating disorders
Apr 2, 2021
OBJECTIVE: Patterns of response to eating disorder (ED) treatment are heterogeneous. Advance knowledge of a patient's expected course may inform precision medicine for ED treatment. This study explored the feasibility of applying machine learning to ...
Individualized prediction of COVID-19 adverse outcomes with MLHO.
Scientific reports
Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Risk Assessment
Respiration, Artificial
ROC Curve
Age Factors
Models, Statistical
Data Mining
Aged, 80 and over
Machine Learning
Adult
SARS-CoV-2
Pandemics
Male
Risk Factors
COVID-19
Middle Aged
Hospitalization
Prognosis
Aged
Humans
Electronic Health Records
Female
Retrospective Studies
Reproducibility of Results
Intensive Care Units
Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence.
Stroke
Mar 4, 2021
BACKGROUND AND PURPOSE: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact ...
Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.
Journal of medical Internet research
Feb 22, 2021
BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a l...
A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data.
PloS one
Feb 19, 2021
BACKGROUND: Identifying individuals at risk for future hospitalization or death has been a major priority of population health management strategies. High-risk individuals are a heterogeneous group, and existing studies describing heterogeneity in hi...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31037
- Neural Networks, Computer 29719
- Algorithms 26832
- Deep Learning 26346
- Artificial Intelligence 24295
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9111
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4771
- Support Vector Machine 4686
- Computational Biology 4237
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5949
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1859
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 944
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826