BIOENGINEER

Causal Machine Learning Model Identifies Key Biomarker Influences on Thalassemia Diagnosis

Researchers established a causal machine learning framework combining directed acyclic graphs and inverse probability ...
Medical Xpress

Integrating machine learning with statistical methods enhances disease risk prediction models

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
Medical Xpress

Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients

Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are ...
techtarget

Regression in machine learning: A crash course for engineers

Finding relationships among data is an important skill for any business professional. Understanding cause-and-effect relationships can be the critical factor when it comes to wasted time, lost profits ...

Why did machine learning and deep learning start being used? Data volume and model expressive power

Recently, I explained why machine learning exists and it was well-received, so I decided to write about it on note as well.In ...
GitHub

Used Car Price Prediction Using Machine Learning Regression

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...
Semiconductor Engineering

Overcoming Regression Debug Challenges With Machine Learning

Development of a modern semiconductor requires running many electronic design automation (EDA) tools many times over the course of the project. Every stage, from architectural exploration and design ...