Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

New research analyzing medical records from a psychiatric treatment program suggests that the content of psychotic delusions is increasingly incorporating themes related to the internet and modern ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.

The Buffalo Bills haven't won in Houston since the J.P. Losman days, and that didn't change, dropping another one to the Texans, 23-19. The Texans' defense is No. 1 in the league for a reason, and ...

Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...

Excel portfolio project combining Fama–French 3-factor regressions with Markowitz optimization. Calculates expected returns, covariances, and solves for Minimum Variance & Tangency Portfolios.