Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective

In this article, we study a novel problem: 'automatic prescription recommendation for PD patients.' To realize this goal, we first build a dataset by collecting 1) symptoms of PD patients, and 2) their prescription drug provided by neurologists. Then, we build a novel computer-aided prescr...

Full description

Bibliographic Details
Main Authors: Gao, Y. (Author), Pan, Y. (Author), Shen, D. (Author), Shi, Y. (Author), Thung, K.-H (Author), Wang, H. (Author), Yang, W. (Author), Zhang, L. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Alternating optimizations
Alzheimer disease
Article
artificial intelligence
brain depth stimulation
classification algorithm
cognitive behavioral therapy
computer
Computer aided
computer aided design
Computer aided instruction
computer simulation
Computer Simulation
Computer-aided prescription
Computers
controlled study
correlation analysis
Data driven
daytime somnolence
electroencephalogram
Hamilton Anxiety Scale
human
Humans
Large dataset
latent symptom space
learning algorithm
Learning systems
mathematical model
motor dysfunction
Multi modality
multi-label learning
multi-modality learning
nuclear magnetic resonance imaging
Parkinson disease
Parkinson Disease
Parkinson's disease
PD research
prescription
Prescription drugs
Prescriptions
process optimization
quality control
questionnaire
risk factor
Semantic gap
semantic memory
Semantics
sensitivity analysis
single photon emission computed tomography
support vector machine
training
treatment planning
Unified Parkinson Disease Rating Scale
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items