Imagine being able to build a master school schedule in 30 minutes.

If Excel is where you track projects, plan budgets, manage clients, or run your side hustle, you already know it’s a powerhouse. But turning rows and columns into real answers—spotting trends, ...

This project demonstrates medical time series analysis using deep learning for heart rate prediction. It provides a comprehensive framework for: medical-time-series-analysis/ ├── src/ # Source code │ ...

Methods: This retrospective longitudinal time-series study used a big data-driven interpretable machine learning approach to analyze global multifaceted data across 38 countries from pandemic onset ...

Trey Yesavage's Game 5 start against the Dodgers was historic in many ways. Ronald Martinez / Getty Images LOS ANGELES — Trey Yesavage hemmed and hawed, explaining why he couldn’t join the afterparty ...

Abstract: Traditional machine learning approaches for biomedical time series analysis face fundamental limitations when integrating the heterogeneous data types essential for comprehensive clinical ...

Objectives To evaluate temporal trends in the epidemiology of hip osteoarthritis (OA) in the USA from 1990 to 2019, with stratification by sex and geographic region. Design Cross-sectional time-series ...

A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis ...

Objective To analyze patterns of spatial association in the granting of social welfare benefits to individuals with gastrointestinal Chagas disease in Brazil in the period 2004-2016. Methods This was ...