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1
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study

Scientific reports, 2020-10, Vol.10 (1), p.18716-18716, Article 18716 [Peer Reviewed Journal]

The Author(s) 2020. 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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-75767-2 ;PMID: 33127965

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2
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19
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Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19

International journal of environmental research and public health, 2020-09, Vol.17 (19), p.7032 [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: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph17197032 ;PMID: 32993005

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3
PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education
PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education
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PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2284 [Peer Reviewed Journal]

2022 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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22062284 ;PMID: 35336455

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4
An efficient primary screening of COVID‐19 by serum Raman spectroscopy
An efficient primary screening of COVID‐19 by serum Raman spectroscopy
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An efficient primary screening of COVID‐19 by serum Raman spectroscopy

Journal of Raman Spectroscopy, 2021-05 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by-nc/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;DOI: 10.1002/jrs.6080

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5
An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur
An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur
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An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur

International journal of environmental research and public health, 2023-01, Vol.20 (1), p.828 [Peer Reviewed Journal]

2023 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. ;2023 by the authors. 2023 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph20010828 ;PMID: 36613150

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6
Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction
Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction
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Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction

Scientific reports, 2023-12, Vol.13 (1), p.22588-22588, Article 22588 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023. 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) 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-49962-w ;PMID: 38114600

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7
Prediction and analysis of Corona Virus Disease 2019
Prediction and analysis of Corona Virus Disease 2019
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Prediction and analysis of Corona Virus Disease 2019

PloS one, 2020-10, Vol.15 (10), p.e0239960-e0239960 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Hao 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. ;2020 Hao et al 2020 Hao et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239960 ;PMID: 33017421

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8
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
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Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization

Scientific reports, 2024-05, Vol.14 (1), p.10714-10714 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61322-w ;PMID: 38730250

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9
A machine learning model to predict privacy fatigued users from social media personalized advertisements
A machine learning model to predict privacy fatigued users from social media personalized advertisements
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A machine learning model to predict privacy fatigued users from social media personalized advertisements

Scientific reports, 2024-02, Vol.14 (1), p.3685-3685 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-54078-w ;PMID: 38355815

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10
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
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Hybrid model for precise hepatitis-C classification using improved random forest and SVM method

Scientific reports, 2023-08, Vol.13 (1), p.12473-12473 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023. 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) 2023 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-36605-3 ;PMID: 37528148

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11
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data
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A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6319 [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/s21186319 ;PMID: 34577525

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12
Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence
Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence
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Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence

Sensors (Basel, Switzerland), 2020-11, Vol.20 (21), p.6241 [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/s20216241 ;PMID: 33139608

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13
A deep facial recognition system using computational intelligent algorithms
A deep facial recognition system using computational intelligent algorithms
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A deep facial recognition system using computational intelligent algorithms

PloS one, 2020-12, Vol.15 (12), p.e0242269-e0242269 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Salama AbdELminaam 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. ;2020 Salama AbdELminaam et al 2020 Salama AbdELminaam et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0242269 ;PMID: 33270670

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14
Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data
Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data
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Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data

International journal of environmental research and public health, 2021-06, Vol.18 (11), p.5993 [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: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph18115993 ;PMID: 34204907

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15
Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
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Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2085 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23042085 ;PMID: 36850682

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16
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia
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A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia

International journal of environmental research and public health, 2020-12, Vol.18 (1), p.218 [Peer Reviewed Journal]

2021. 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: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph18010218 ;PMID: 33396713

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17
Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques
Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques
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Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1629 [Peer Reviewed Journal]

2022 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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22041629 ;PMID: 35214531

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18
Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach
Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach
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Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach

Journal of medical Internet research, 2021-04, Vol.23 (4), p.e27293-e27293 [Peer Reviewed Journal]

Íris Viana dos Santos Santana, Andressa CM da Silveira, Álvaro Sobrinho, Lenardo Chaves e Silva, Leandro Dias da Silva, Danilo F S Santos, Edmar C Gurjão, Angelo Perkusich. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.04.2021. ;2021. 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. ;Íris Viana dos Santos Santana, Andressa CM da Silveira, Álvaro Sobrinho, Lenardo Chaves e Silva, Leandro Dias da Silva, Danilo F S Santos, Edmar C Gurjão, Angelo Perkusich. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.04.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/27293 ;PMID: 33750734

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19
An explainable machine learning approach for Alzheimer's disease classification
An explainable machine learning approach for Alzheimer's disease classification
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An explainable machine learning approach for Alzheimer's disease classification

Scientific reports, 2024-02, Vol.14 (1), p.2637-2637, Article 2637 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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. ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-51985-w ;PMID: 38302557

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20
Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models
Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models
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Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models

Scientific reports, 2024-01, Vol.14 (1), p.1743-1743, Article 1743 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. 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. ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-51502-z ;PMID: 38242908

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