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1
A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
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A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction

Scientific reports, 2024-04, Vol.14 (1), p.9782-9782 [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/s41598-024-60637-y ;PMID: 38684770

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2
Classification of Paediatric Inflammatory Bowel Disease using Machine Learning
Classification of Paediatric Inflammatory Bowel Disease using Machine Learning
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Classification of Paediatric Inflammatory Bowel Disease using Machine Learning

Scientific reports, 2017-05, Vol.7 (1), p.2427-10, Article 2427 [Peer Reviewed Journal]

Copyright Nature Publishing Group May 2017 ;The Author(s) 2017 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-017-02606-2 ;PMID: 28546534

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3
Author Correction: High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis
Author Correction: High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis
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Author Correction: High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis

Scientific reports, 2021-08, Vol.11 (1), p.16730-16730, Article 16730 [Peer Reviewed Journal]

The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-96032-0 ;PMID: 34385557

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4
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
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Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience

Scientific reports, 2020-11, Vol.10 (1), p.20284-20284, Article 20284 [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/s41598-020-77117-8 ;PMID: 33219270

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5
Construction of a predictive model for blood transfusion in patients undergoing total hip arthroplasty and identification of clinical heterogeneity
Construction of a predictive model for blood transfusion in patients undergoing total hip arthroplasty and identification of clinical heterogeneity
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Construction of a predictive model for blood transfusion in patients undergoing total hip arthroplasty and identification of clinical heterogeneity

Scientific reports, 2024-01, Vol.14 (1), p.724-724, Article 724 [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 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-51240-2 ;PMID: 38184749

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6
Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea
Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea
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Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea

Scientific reports, 2021-02, Vol.11 (1), p.4457-4457, Article 4457 [Peer Reviewed Journal]

The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-84003-4 ;PMID: 33627761

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7
Mapping the NFT revolution: market trends, trade networks, and visual features
Mapping the NFT revolution: market trends, trade networks, and visual features
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Mapping the NFT revolution: market trends, trade networks, and visual features

Scientific reports, 2021-10, Vol.11 (1), p.20902-20902, Article 20902 [Peer Reviewed Journal]

2021. The Author(s). ;The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-00053-8 ;PMID: 34686678

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8
An efficient geometric approach to quantum-inspired classifications
An efficient geometric approach to quantum-inspired classifications
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An efficient geometric approach to quantum-inspired classifications

Scientific reports, 2022-05, Vol.12 (1), p.8781-8781, Article 8781 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-12392-1 ;PMID: 35610272

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9
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
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Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia

Scientific reports, 2024-04, Vol.14 (1), p.9080-9080 [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/s41598-024-60027-4 ;PMID: 38643324

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10
BEHRT: Transformer for Electronic Health Records
BEHRT: Transformer for Electronic Health Records
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BEHRT: Transformer for Electronic Health Records

Scientific reports, 2020-04, Vol.10 (1), p.7155-7155, Article 7155 [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/s41598-020-62922-y ;PMID: 32346050

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11
Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner
Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner
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Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner

Scientific reports, 2022-03, Vol.12 (1), p.5096-5096, Article 5096 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-08940-4 ;PMID: 35332207

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12
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Scientific reports, 2022-01, Vol.12 (1), p.1000-1000, Article 1000 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-04835-6 ;PMID: 35046459

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13
Generalization of vision pre-trained models for histopathology
Generalization of vision pre-trained models for histopathology
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Generalization of vision pre-trained models for histopathology

Scientific reports, 2023-04, Vol.13 (1), p.6065-6065, Article 6065 [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/s41598-023-33348-z ;PMID: 37055519

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14
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
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Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

Scientific reports, 2022-04, Vol.12 (1), p.6256-6256, Article 6256 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-10358-x ;PMID: 35428863

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15
Atomistic and machine learning studies of solute segregation in metastable grain boundaries
Atomistic and machine learning studies of solute segregation in metastable grain boundaries
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Atomistic and machine learning studies of solute segregation in metastable grain boundaries

Scientific reports, 2022-04, Vol.12 (1), p.6673-6673, Article 6673 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. 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) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-10566-5 ;PMID: 35461319

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16
Measuring the prediction difficulty of individual cases in a dataset using machine learning
Measuring the prediction difficulty of individual cases in a dataset using machine learning
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Measuring the prediction difficulty of individual cases in a dataset using machine learning

Scientific reports, 2024-05, Vol.14 (1), p.10474-10474 [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/s41598-024-61284-z ;PMID: 38714895

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17
Tire mode shape categorization using Zernike annular moment and machine learning classification
Tire mode shape categorization using Zernike annular moment and machine learning classification
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Tire mode shape categorization using Zernike annular moment and machine learning classification

Scientific reports, 2024-04, Vol.14 (1), p.9482-9482 [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/s41598-024-59548-9 ;PMID: 38664516

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18
A divide-and-conquer algorithm for quantum state preparation
A divide-and-conquer algorithm for quantum state preparation
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A divide-and-conquer algorithm for quantum state preparation

Scientific reports, 2021-03, Vol.11 (1), p.6329-6329, Article 6329 [Peer Reviewed Journal]

The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-85474-1 ;PMID: 33737544

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19
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
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Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

Scientific reports, 2019-08, Vol.9 (1), p.12296-21, Article 12296 [Peer Reviewed Journal]

2019. 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) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-48773-2 ;PMID: 31444375

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20
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
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Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Scientific reports, 2016-05, Vol.6 (1), p.26094-26094, Article 26094 [Peer Reviewed Journal]

Copyright Nature Publishing Group May 2016 ;Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep26094 ;PMID: 27185194

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