Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution ...

The last thing on his mind was that he might be suffering a stroke — but that’s exactly ... When a pulmonary embolism threatened a patient's life, Huntington Hospital doctors called on an innovative ...

To identify emergency department (E.D.) patients needing these services, researchers compared the use of machine learning to pull relevant information from a patient's electronic health record ...

(2017) evaluated the neural reorganization in sub-acute stroke patients with fMRI before and after ... give a better understanding on the retention of the motor learning acquired during treatment with ...

Additionally, healthcare providers (HCPs) are often unaware of not only patients ... stroke, 6 the mean lifetime cost of ischemic stroke (which accounts for 87% of all strokes) in the United States is ...

Objective To predict the risk of hospital-acquired pressure injury using machine learning compared with standard care. Design We obtained electronic health records (EHRs) to structure a multilevel ...

and imposes a huge burden and significant workload for patients, their families and society. As a special form of physical activity, Tai Chi is may be useful for stroke rehabilitation. The objective ...

Introduction: Patient selection for endovascular thrombectomy (EVT) relies heavily on neuroimaging characteristics. While nearly all stroke patients undergo ... we sought to construct a machine ...

allergies for stroke patients hinders the use of effective medications for them, leading to poorer treatment outcomes. It also revealed that when stroke survivors with NSAID allergy labels ...

People living in Dorset who have had a stroke within ... (TVNS), it forms part of rehabilitation therapy, and involves sending mild electrical pulses to the brain. Patients will be asked to ...