Machines whisper before they scream: we built an AI model that predicts expensive problems

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Gender Classification Based on Machine Learning Models

Abstract: Automatic gender categorization has become an increasingly significant area in computer vision, with several applications. Gender equality is nowadays a keyword for today's scenario. This ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...
Frontiers

Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model

Objective: To explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model. Methods: This ...
Hacker

A Survey of Machine Learning Approaches for Predicting Hospital Readmission

Prior work on readmission prediction used diverse features and ML/DL models; our study advances this with superior text mining and broader model comparison. (1) Rasoul Samani, School of Electrical and ...
IEEE

Gender Classification Using Machine Learning with Multi-Feature Method

Abstract: Nowadays gender classification is a very challenging task in a real-time application based on face recognition. The demand for real-time application based on gender classification will ...