Surveys

Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach.

BACKGROUND: Falls are a major problem associated with ageing. Yet, fall-risk classification models i...

Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey.

Hyperspectral image (HSI) contains hundreds of adjacent spectral bands, which can effectively differ...

Status of robot-assisted artificial total joint arthroplasty in China: a cross-sectional survey of joint surgeons.

PURPOSE: The purpose of this study is to report on the use of Robotic-assisted total joint arthropla...

Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods.

Cryptocurrency, often known as virtual or digital currency, is a safe platform and a key component o...

Bias reduction in representation of histopathology images using deep feature selection.

Appearing traces of bias in deep networks is a serious reliability issue which can play a significan...

Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability-What We Know and What Is Coming.

Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a measure...

Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type.

The prevalence of diabetes has been increasing in recent years, and previous research has found that...

Deep learning for computational cytology: A survey.

Computational cytology is a critical, rapid-developing, yet challenging topic in medical image compu...

Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence.

A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning.

This survey aims to identify commonly used methods, datasets, future trends, knowledge gaps, constra...

Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey.

With the increasing demand for human-computer interaction and health monitoring, human behavior reco...

Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey.

Reinforcement learning takes sequential decision-making approaches by learning the policy through tr...

What are the perceived benefits and barriers to the use of robot-assisted total knee arthroplasty? A survey of members of the European Knee Society.

PURPOSE: Members of the European Knee Society (EKS) recently took part in an online questionnaire on...

GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms.

Selection of differentially expressed genes (DEGs) is a vital process to discover the causes of dise...

Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning.

BACKGROUND: Cardiac implantable electronic device (CIED) surgical site infections (SSIs) have been o...

Evaluation of machine learning methods for covariate data imputation in pharmacometrics.

Missing data create challenges in clinical research because they lead to loss of statistical power a...

Hyperbolic Deep Neural Networks: A Survey.

Recently, hyperbolic deep neural networks (HDNNs) have been gaining momentum as the deep representat...

Fine-Grained Image Analysis With Deep Learning: A Survey.

Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and ...

Learn to Predict Sets Using Feed-Forward Neural Networks.

This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a ...

Using machine-learning strategies to solve psychometric problems.

Validating scales for clinical use is a common procedure in medicine and psychology. Through the app...

Mobile robot path planning with reformative bat algorithm.

Mobile robot path planning has attracted much attention as a key technology in robotics research. In...