Tag: prediction
Disease History to Predict Mortality Risk in ICU Patients
Patients in the intensive care unit are highly heterogeneous, and include elderly patients who generally have a long history of disease. Prediction of prognosis can often be difficult because of the severity of patient illness... read more
Machine-learning System Could Aid Critical Decisions in Sepsis Care
Researchers from MIT and Massachusetts General Hospital (MGH) have developed a predictive model that could guide clinicians in deciding when to give potentially life-saving drugs to patients being treated for sepsis in the... read more
Characterising Risk of In-Hospital Mortality Following Cardiac Arrest Using Machine Learning
Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first... read more
Model Improves Prediction of Mortality Risk in ICU Patients
MIT researchers have developed a machine-learning model that groups patients into subpopulations by health status to better predict a patient’s risk of dying during their stay in the ICU. This technique outperforms "global"... read more
Delirium Prediction in the ICU
While both ICU delirium prediction models have moderate-to-good performance, the PRE-DELIRIC model predicts delirium better. However, ICU physicians rated the user convenience of E-PRE-DELIRIC superior to PRE-DELIRIC. In... read more
Which Models Can I Use to Predict Adult ICU Length of Stay? A Systematic Review
No models completely satisfy our requirements for planning, identifying unexpectedly long ICU length of stay, or for benchmarking purposes. Physicians using these models to predict ICU length of stay should interpret them... read more
Biomarkers in AKI: That’s All the Story?
We would like to add to the recent editorial by McMahon on biomarkers of acute kidney injury (AKI), with a specific focus on biomarkers in the clinical setting of cardiac surgery-associated AKI (CSA-AKI). We agree with McMahon... read more
Researchers develop new tool to predict early ICU readmission for surgical patients
Researchers developed a risk prediction tool, called a nomogram, that uses a scoring system to determine a patient's risk level for returning to the SICU within 72 hours after discharge from the unit.... read more
