Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
The Malaysian Reserve

Zyphra Releases ZUNA – BCI Foundation Model Advancing Towards Thought-to-Text

New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned ...
eLife

Language comprehension functionally modulates first-order relay thalamic nuclei

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
Analytics Insight

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...
GitHub

Final Assessment Project for Data Processing Techniques: Preprocessing, Real-time Streaming, Incremental Updates, and In-Memory Analytics.

All tasks use Python along with tools like Apache Spark, Apache Kafka, and in-memory processing techniques to demonstrate efficient data handling, streaming, and analytics. Clean and preprocess IoT ...
IEEE

A survey of preprocessing techniques for flow cytometry data in classification tasks

Abstract: Flow cytometry is an advanced technique for analyzing cellular heterogeneity in biomedical research and clinical diagnostics. Its ability to generate multiparametric data has facilitated ...