Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Artificial intelligence in the intensive care unit
G Gutierrez - Annual Update in Intensive Care and Emergency …, 2020 - Springer
The application of artificial intelligence (AI) techniques to the monitoring and treatment of
patients in the intensive care unit (ICU) is advancing rapidly from future possibility to …
patients in the intensive care unit (ICU) is advancing rapidly from future possibility to …
Machine learning in the prediction of medical inpatient length of stay
Length of stay (LOS) estimates are important for patients, doctors and hospital
administrators. However, making accurate estimates of LOS can be difficult for medical …
administrators. However, making accurate estimates of LOS can be difficult for medical …
Artificial intelligence in healthcare: a mastery
There is a vast development of artificial intelligence (AI) in recent years. Computational
technology, digitized data collection and enormous advancement in this field have allowed …
technology, digitized data collection and enormous advancement in this field have allowed …
[HTML][HTML] Understanding basic principles of artificial intelligence: a practical guide for intensivists
Conclusions: High-performance characteristics and strict quality controls are needed during
its progress. During this process, different measures can be identified (pre-processing …
its progress. During this process, different measures can be identified (pre-processing …
Benchmarking machine learning models on multi-centre eICU critical care dataset
Progress of machine learning in critical care has been difficult to track, in part due to
absence of public benchmarks. Other fields of research (such as computer vision and …
absence of public benchmarks. Other fields of research (such as computer vision and …
Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
The pressure of ever-increasing patient demand and budget restrictions make hospital bed
management a daily challenge for clinical staff. Most critical is the efficient allocation of …
management a daily challenge for clinical staff. Most critical is the efficient allocation of …
Hospital length of stay prediction methods: a systematic review
Objective: This systematic review sought to establish a picture of length of stay (LOS)
prediction methods based on available hospital data and study protocols designed to …
prediction methods based on available hospital data and study protocols designed to …
Learning from a biased sample
The empirical risk minimization approach to data-driven decision making assumes that we
can learn a decision rule from training data drawn under the same conditions as the ones …
can learn a decision rule from training data drawn under the same conditions as the ones …
Machine learning-based prediction of in-ICU mortality in pneumonia patients
Conventional severity-of-illness scoring systems have shown suboptimal performance for
predicting in-intensive care unit (ICU) mortality in patients with severe pneumonia. This …
predicting in-intensive care unit (ICU) mortality in patients with severe pneumonia. This …