Automatic Primary Screening and Real-Time Risk Assessment Method Using Deep Learning to Prevent the Patients From Falling in the Hospital

Transactions of the JSME (in Japanese)
doi 10.1299/transjsme.19-00067
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Japan Society of Mechanical Engineers

Related search

Development of the Real-Time River Stage Prediction Method Using Deep Learning

Journal of Japan Society of Civil Engineers
CivilEnvironmental EngineeringStructural Engineering
2017English

Deep Learning in Risk Assessment

2020English

Real-Time Mosquito Species Identification Using Deep Learning Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Unsupervised Deep Learning for Real-Time Assessment of Video Streaming Services

Multimedia Tools and Applications
Media TechnologyComputer NetworksHardwareCommunicationsArchitectureSoftware
2017English

DeepLabStream: Closing the Loop Using Deep Learning-Based Markerless, Real-Time Posture Detec-Tion

2019English

Real-Time Prediction of the Risk of Hospital Readmissions

2019English

Using Real-Time Fluorescence and Deformability Cytometry and Deep Learning to Transfer Molecular Specificity to Label-Free Sorting

2019English

Topology Classification With Deep Learning to Improve Real-Time Event Selection at the LHC

Computing and Software for Big Science
2019English

Dual-Energy CT for Automatic Organs-At-Risk Segmentation in Brain-Tumor Patients Using a Multi-Atlas and Deep-Learning Approach

Scientific Reports
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy