Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and propose strategies for enhancing model generalizability and predictive accuracy ...

Digital transformation is accelerating, and water systems are very quickly becoming the next frontier across the plumbing and mechanical sector. For decades, plumbing infrastructure has operated ...

Find the best predictive analytics tools to boost customer experience with clear top picks, pricing guidance, and an easy how-to choose checklist. Predictive analytics tools are revolutionizing ...

Abstract: Academic performance is a key indicator of students' academic success and future professional development. Factors such as lack of resources, inadequate educational strategies and ...

Kellanova, in partnership with data firm Vidmob and MMA Global, has found it can more quickly connect the dots between campaign creative and business outcomes by leveraging artificial intelligence to ...

Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

Conclusions: Our findings suggest that ML techniques exhibit promising predictive performance for forecasting suicide risk in adolescents, particularly in predicting suicide attempts. Notably, ...

Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

Background Current cardiovascular disease (CVD) risk prediction models tailored for older adults are inadequate. This study aimed to validate, update and assess the utility of widely used CVD risk ...