Identifying diseases symptoms and general rules using supervised and unsupervised machine learning
In this section, we analyze data to investigate disease symptoms using AR and predictive modeling.Data preparationAs shown in Table 1,...
machine
Machine learning discovers ‘hidden-gem’ materials for heat-free gas separation | News | Notre Dame News
Agboola Suleiman, doctoral student in chemical and biomolecular engineering at the University of Notre Dame, examines the team's gas-separating membrane....
A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods
Wang, L. et al. Assessment of reversibility in pulmonary hypertension related to congenital heart disease by using biomarkers and clinical...
LoRA-Pro: A Groundbreaking Machine Learning Approach to Bridging the Performance Gap Between Low-Rank Adaptation and Full Fine-Tuning
Parameter-efficient fine-tuning (PEFT) methods have become essential in machine learning. They allow large models to adapt to new tasks without...
Top 10 Machine Learning Algorithms For Beginners: Supervised, and More
In a world where nearly all manual tasks are being automated, the definition of manual is changing. There are now...
Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions
Once the features are extracted, the colon cancer classification is performed using machine learning and metaheuristic classifiers. In our research,...
