Results 221 to 230 of about 810,976 (388)

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

open access: yesMacromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh   +2 more
wiley   +1 more source

Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique. [PDF]

open access: yesPattern Recognit, 2022
Rabie AH   +3 more
europepmc   +1 more source

E2E: An R Package for Easy‐to‐Build Ensemble Models

open access: yesMed Research, EarlyView.
ABSTRACT E2E (Easy to Ensemble) is an R package aiming to provide researchers with a simple, user‐friendly, and comprehensive ensemble learning framework to address the challenges of existing tools when dealing with imbalanced data or constructing complex models.
Shanjie Luan, Ximing Wang
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

open access: yesMed Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu   +3 more
wiley   +1 more source

ANALISIS SENTIMEN PENGGUNA APLIKASI CAKAP BELAJAR ONLINE MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER

open access: yesPROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer
Abstrak - Perkembangan teknologi informasi yang pesat memerlukan evolusi metode pendidikan untuk mengintegrasikan kemajuan tersebut. E-learning telah menjadi lingkungan belajar penting yang memanfaatkan teknologi untuk meningkatkan hasil pendidikan.
openaire   +2 more sources

Classification of Salivary Gland Tumors on Ultrasound Using Artificial Intelligence: A Systematic Review and Meta‐Analysis

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau   +5 more
wiley   +1 more source

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