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Machine learning identifies brain patterns that predict antidepressant success

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
BBC

Input and output

Computers close computerA device that processes information by following a set of rules called a program. and digital devices work by storing and processing information. If information has been ...
IEEE

Synthesis of Critical Patterns for Lithography Optimizations Through Machine Learning

Abstract: Critical patterns are layout patterns that cannot be corrected by standard MB-OPC with enough accuracy. Since they are infrequent, lithography applications targeting critical patterns such ...
IEEE

Design Patterns for Multi-Agent Systems in Intelligent Mobile Construction Machines

Abstract: Mobile construction machines are often challenging to operate and require experienced operators to master their use effectively. Training new drivers demands significant time and financial ...
Frontiers

Dietary patterns and chronic prostatitis: a symptom severity prediction model based on nutritional clustering and machine learning

Background: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) has a multifactorial etiology where diet is considered an important factor. This study aimed to develop a predictive model for CP ...