Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
IEEE

Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM Parameters

Abstract: Early detection of diseases allows for timely interventions that can reduce the risk of severe health complications; using Machine Learning (ML) tools to support medical specialists aids in ...
IEEE

Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models

Abstract: The rapid growth of digital content has made sentiment analysis (SA) an essential tool for understanding public sentiment and classifying textual data. Despite significant progress in ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Nature

Cognitive performance classification of older patients using machine learning and electronic medical records

Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. Developing efficient diagnostic tools is critical, and machine learning ...
Nature

Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes

This study aimed to classifying wheat genotypes using support vector machines (SVMs) improved with ensemble algorithms and optimization techniques. Utilizing data from 302 wheat genotypes and 14 ...
The Lancet

FTIR-based molecular fingerprinting for the rapid classification of dengue and chikungunya from human sera using machine learning: an observational study

aAdvanced Technology Development Centre, Indian Institute of Technology Kharagpur, West Bengal, India bNano Bio Photonics Group, Indian Institute of Technology Kharagpur, West Bengal, India ...
Techopedia

Kernel Method

Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… This mapping is done through kernel ...
Scientific Research Publishing

Path Loss Modeling: A Machine Learning Based Approach Using Support Vector Regression and Radial Basis Function Models ()

1 College of Engineering, Anderson University, Anderson, SC, USA. 2 Department of Management Information Systems, Girne American University, Girne, Cyprus. 3 Computer Science Department, Florida A&M ...