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1
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061229 ;PMID: 28555016

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2
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
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Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling

Archives of toxicology, 2021-05, Vol.95 (5), p.1683-1701 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0340-5761 ;EISSN: 1432-0738 ;DOI: 10.1007/s00204-021-03023-1 ;PMID: 33713150

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3
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
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A hybrid decision support system for automatic detection of Schizophrenia using EEG signals

Computers in biology and medicine, 2022-02, Vol.141, p.105028-105028, Article 105028 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105028 ;PMID: 34836626

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4
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104572 ;PMID: 34182331

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5
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
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Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier

Journal of medical systems, 2017-10, Vol.41 (10), p.160-160, Article 160 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2017 ;Journal of Medical Systems is a copyright of Springer, 2017. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-017-0800-x ;PMID: 28866731

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6
Machine learning, medical diagnosis, and biomedical engineering research - commentary
Machine learning, medical diagnosis, and biomedical engineering research - commentary
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Machine learning, medical diagnosis, and biomedical engineering research - commentary

Biomedical engineering online, 2014-07, Vol.13 (1), p.94-94 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Foster et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Copyright © 2014 Foster et al.; licensee BioMed Central Ltd. 2014 Foster et al.; licensee BioMed Central Ltd. ;ISSN: 1475-925X ;EISSN: 1475-925X ;DOI: 10.1186/1475-925X-13-94 ;PMID: 24998888

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7
SVM and SVM Ensembles in Breast Cancer Prediction
SVM and SVM Ensembles in Breast Cancer Prediction
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SVM and SVM Ensembles in Breast Cancer Prediction

PloS one, 2017-01, Vol.12 (1), p.e0161501-e0161501 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Huang et al 2017 Huang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0161501 ;PMID: 28060807

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8
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
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Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma

European radiology, 2018-04, Vol.28 (4), p.1625-1633 [Peer Reviewed Journal]

European Society of Radiology 2017 ;European Radiology is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-017-5118-z ;PMID: 29134348

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9
Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers
Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers
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Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers

Journal of medical systems, 2019-08, Vol.43 (8), p.269-9, Article 269 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Journal of Medical Systems is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-019-1400-8 ;PMID: 31273532

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10
An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters
An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters
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An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

Journal of medical systems, 2012-06, Vol.36 (3), p.2011-2020 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2011 ;Springer Science+Business Media, LLC 2012 ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-011-9663-8 ;PMID: 21340703

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11
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections

Nature communications, 2020-03, Vol.11 (1), p.1177-1177, Article 1177 [Peer Reviewed Journal]

This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-14975-w ;PMID: 32132525

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12
Classification of Aggressive Movements Using Smartwatches
Classification of Aggressive Movements Using Smartwatches
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Classification of Aggressive Movements Using Smartwatches

Sensors (Basel, Switzerland), 2020-11, Vol.20 (21), p.6377 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20216377 ;PMID: 33182258

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13
Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier
Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier
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Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier

Australasian physical & engineering sciences in medicine, 2022-06, Vol.45 (2), p.665-674 [Peer Reviewed Journal]

Australasian College of Physical Scientists and Engineers in Medicine 2022. ;ISSN: 0158-9938 ;EISSN: 1879-5447 ;DOI: 10.1007/s13246-022-01119-1

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14
Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions
Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions
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Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1753 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20061753 ;PMID: 32245258

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15
Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features
Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features
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Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features

European radiology, 2019-04, Vol.29 (4), p.1841-1847 [Peer Reviewed Journal]

European Society of Radiology 2018 ;European Radiology is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-018-5730-6 ;PMID: 30280245

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16
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
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Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6323 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21186323 ;PMID: 34577530

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17
Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

European radiology, 2019-03, Vol.29 (3), p.1153-1163 [Peer Reviewed Journal]

European Society of Radiology 2018 ;European Radiology is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-018-5698-2 ;PMID: 30167812

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18
Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning
Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning
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Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning

Sensors (Basel, Switzerland), 2018-01, Vol.18 (1), p.208 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010208 ;PMID: 29329261

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19
Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns
Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns
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Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns

Sensors (Basel, Switzerland), 2017-06, Vol.17 (6), p.1385 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061385 ;PMID: 28613237

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20
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques
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EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques

Sensors (Basel, Switzerland), 2020-04, Vol.20 (9), p.2505 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20092505 ;PMID: 32354161

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