News-Medical.Net

Machine learning detects early brain changes linked to Alzheimer's disease

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
Technology Networks

Statistical Frameworks for Data Analysis in Quantitative Proteomics

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive Disorder Detection using Sensor Data

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...
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 data preprocessing. If you’ve ever built a predictive model, worked on a ...
CoinDesk

Why machine-to-machine payments are the new electricity for the digital age

We are moving toward an economic system in which software and devices transact with one another without human involvement. Instead of simply executing transactions, machines will be able to make ...
IEEE

Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”

Abstract: Presents corrections to the paper, (Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”).