The AI in remote patient monitoring market is booming, driven by chronic disease prevalence, aging populations, and digital ...
Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...
Risk prediction has permeated many aspects of modern life, including health care. Algorithms developed using advanced statistical methods have been used to identify hospitalized adults at risk of ...
Opinion
5dOpinion
How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...
A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...
The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
The NAIC's highly anticipated Model Bulletin for the use of algorithms, predicative models and AI came out in July, but what are the implications? Though the bulletin is still in draft form, those ...
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