A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Parkinson Hastalığı İçin Öznitelik Seçiminin Önemi
2020
Academic Platform Journal of Engineering and Science
Preserved Fulltext
In this study, a new application based on assessing the importance of attributes using the ranking techniques was carried out for diagnosis of this disease. ...
This study including the model which presented the best performance might be a powerful tool for effective diagnosis of this disease. ...
ACKNOWLEDGEMENTS The authors are thankful to publicly available Parkinson dataset which was created by Max Little of the University of Oxford, in collaboration with the National Centre for Voice and Speech ...
doi:10.21541/apjes.541637
fatcat:4fhiiergfbaptp2riutijexevq
Development of Intelligent Parkinson Disease Detection System Based on Machine Learning Techniques Using Speech Signal
2021
International Journal on Advanced Science, Engineering and Information Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
The new model for classifying the Parkinson's disease-dataset with class-imbalance data distribution achieved an accuracy of 96.52% by using our proposed method. ...
Old people mostly tend to suffer from this disease and the number is expected to increase in the future. ...
RESULTS AND DISCUSSION In this study, a new model for classifying the Parkinson's disease-dataset with class-imbalance data distribution based on voice signal is presented. ...
doi:10.18517/ijaseit.11.1.12202
fatcat:k3ixxzsgnzh35dtoefqff643qm
Combining acoustic signals and medical records to improve pathological voice classification
2019
APSIPA Transactions on Signal and Information Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Voice samples were recorded in a specific voice clinic of a tertiary teaching hospital, including three common categories of vocal diseases, i.e. glottic neoplasm, phonotraumatic lesions, and vocal paralysis ...
The proposed algorithm also provides higher accuracy and UAR than traditional feature-based and model-based combination methods. ...
detect the presence of vocal diseases based on features extracting from acoustic signals [14] . ...
doi:10.1017/atsip.2019.7
fatcat:2tr6xfr5anev7c267wkeymp2ym
Novel multi center and threshold ternary pattern based method for disease detection method using voice
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
INDEX TERMS MCMTTP, discrete wavelet transform, voice disease detection, smart health, machine learning. ...
Experimental results of six classifiers with three diagnostic diseases (frontal resection, cordectomy and spastic dysphonia) show that the fused features are more suitable for describing voice-based disease ...
ACKNOWLEDGMENT The authors would like to thank Qatar National Library, QNL, for supporting us in publishing our research. ...
doi:10.1109/access.2020.2992641
fatcat:wbz5idbcwnb7zact3z6ppyw2dy
Soft-Weighted CrossEntropy Loss for Continous Alzheimer's Disease Detection
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
At present, researchers have used machine learning methods to detect Alzheimer's disease from the speech of participants. ...
This paper proposes an Alzheimer's disease detection system based on the pre-trained framework Wav2vec 2.0 (Wav2vec2). ...
CONCLUSION This paper presents a network for Alzheimer's disease detection from speech based on pre-trained model and downstream model. ...
arXiv:2402.11931v1
fatcat:ensthumihre7pgxz6iy5hxhtwe
2020 Index IEEE Journal of Selected Topics in Signal Processing Vol. 14
2020
IEEE Journal on Selected Topics in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
., +, JSTSP Aug. 2020 969-981 J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. ...
Souza, R., +, JSTSP
Oct. 2020 1126-1136
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and
Reconstruction. ...
doi:10.1109/jstsp.2020.3029672
fatcat:6twwzcqpwzg4ddcu2et75po77u
A Study on Diagnosis of Parkinson's Disease from Voice Dysphonias
2018
International Journal of Information Technology and Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this study, an application based on assessing the importance of features was carried out by using multiple types of sound recordings dataset for diagnosis of Parkinson disease from voice disorders. ...
The Artificial Neural Networks algorithm is more successful for the 'o' voice. Index Terms-Importance of feature, parkinson disease, recursive feature elimination, voice dysphonias. ...
They used feature selection methods based on Student's t-test and Wilcoxon rank-sum test on the feature matrix to detect the significant features for adverse drug reaction [10] . ...
doi:10.5815/ijitcs.2018.06.04
fatcat:grw37qs76fddnhphaifol327iy
2021 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 29
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TASLP 2021 2792-2802 The Detection of Parkinson's Disease From Speech Using Voice Source Information. ...
., +, TASLP 2021 2351-2366 The Detection of Parkinson's Disease From Speech Using Voice Source Information. ...
doi:10.1109/taslp.2022.3147096
fatcat:7nl52k7sjfalbhpxtum3y5nmje
Future Forecasting of COVID-19: A Supervised Learning Approach
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The proposed diagnosis method takes into consideration several symptoms, such as flu symptoms, throat pain, immunity status, diarrhea, voice type, body temperature, joint pain, dry cough, vomiting, breathing ...
In this context, we propose to use machine learning (ML) algorithms in order to diagnose COVID-19 infected patients more effectively. ...
Value "0" is assigned for normal voice. Whereas value 1 is assigned for hoarse voice), body temp (Celsius), joint pain, dry cough, vomiting, breathing problems, chest weight, and headache. ...
doi:10.3390/s21103322
pmid:34064735
pmcid:PMC8150959
fatcat:2bfdsfanpbd55inkzi2zzes5wq
IoT-Based Framework for COVID-19 Detection Using Machine Learning Techniques
2023
Sci
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Recently, it has been shown that voice signal data of the respiratory system (i.e., breathing, coughing, and speech) can be processed through machine learning techniques to detect different diseases of ...
Therefore, this paper presents a new IoT framework for the identification of COVID-19 based on breathing voice samples. ...
Therefore, this paper presents a new IoT framework based on machine learning techniques for the detection of COVID-19 by using breathing voice signals. ...
doi:10.3390/sci6010002
fatcat:yipeit54dbay7e2tp4cdo54rqy
Rheumatology 4.0: big data, wearables and diagnosis by computer
2018
Annals of the Rheumatic Diseases
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
as ACPA are detected. ...
voice service. ...
doi:10.1136/annrheumdis-2017-212888
pmid:29802224
pmcid:PMC6029631
fatcat:7pk22cbusvf3pijyowud67azne
Introduction to the Issue on Automatic Assessment of Health Disorders Based on Voice, Speech, and Language Processing
2020
IEEE Journal on Selected Topics in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In "Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale," Arias-Londoño et al. propose a technique based on deep learning to objectively ...
in voice pathology detection. ...
He is an Associate Editor for the IEEE/ACM TRANSACTIONS ON ...
doi:10.1109/jstsp.2020.2978566
fatcat:32x76k4fnfhpbcpixz365muapm
Table of Contents
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Sarac ¸lar The Detection of Parkinson's Disease From Speech Using Voice Source Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Mandel Auxiliary Networks for Joint Speaker Adaptation and Speaker Change Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/taslp.2021.3137064
fatcat:rpka3f2bhjh37c7pkhiowyndhm
Table of Contents
2019
2019 2nd International Conference on Applied Engineering (ICAE)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Control and Monitoring For Liquid Level System Voice Recognition Using K-Means Clustering Based on Hidden Markov Model EEG -Based Emotion Classification Using Convolutional Neural Networks Thermoelectric ...
Sensing Processing Data for Estimating Rubber Plantations Productivity Inspection of Soldering Anomalies on Surface Mount Devices Using Image Processing & ANN Accuracy in Object Detection based on Image ...
doi:10.1109/icae47758.2019.9221728
fatcat:emeupbonffh2nimvjxcpsk3oda
A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
It allows users to vary the parameters of the disease and behaviours to study the interaction effect between technology, disease and people's behaviours in such a complex environment. ...
In this paper, we present a multi-agent testbed to study the spread of infectious diseases through such a system. ...
severity of the disease (e.g. ...
doi:10.24963/ijcai.2020/747
dblp:conf/ijcai/YIn20
fatcat:3z56t6th2fddfkhreiyrmx5w7a
« Previous
Showing results 1 — 15 out of 27,566 results