Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

You have /5 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Biotech company Likarda has launched Predictive Polymer Analytics (PPA), a next-generation platform powered by artificial intelligence (AI) that accelerates and de-risks the formulation design process ...

In-silico modeling aids in early decision-making for poorly soluble drugs, which are prevalent in development pipelines. AI, ML, and statistical algorithms guide solubilization method selection, ...