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1
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier
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Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier

BMC medical informatics and decision making, 2021-03, Vol.21 (1), p.105-105, Article 105 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01471-4 ;PMID: 33743696

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2
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal
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Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal

BMC medical informatics and decision making, 2023-12, Vol.23 (1), p.285-285, Article 285 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02389-9 ;PMID: 38098001

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3
Extracting psychiatric stressors for suicide from social media using deep learning
Extracting psychiatric stressors for suicide from social media using deep learning
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Extracting psychiatric stressors for suicide from social media using deep learning

BMC medical informatics and decision making, 2018-07, Vol.18 (Suppl 2), p.43-43, Article 43 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed 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). 2018 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-018-0632-8 ;PMID: 30066665

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4
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease
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A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease

BMC medical informatics and decision making, 2019-12, Vol.19 (Suppl 9), p.243-243, Article 243 [Peer Reviewed Journal]

2019. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-019-0987-5 ;PMID: 31830986

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5
Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
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Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning

BMC medical informatics and decision making, 2019-01, Vol.19 (1), p.3-13, Article 3 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;Copyright © 2019. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-018-0731-6 ;PMID: 30621670

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6
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
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Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences

BMC medical informatics and decision making, 2020-10, Vol.20 (1), p.250-250, Article 250 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-020-01201-2 ;PMID: 33008388

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7
Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech
Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech
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Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech

BMC medical informatics and decision making, 2021-03, Vol.21 (1), p.92-92, Article 92 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01456-3 ;PMID: 33750385

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8
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
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A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data

BMC medical informatics and decision making, 2024-03, Vol.24 (1), p.90-90 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-024-02487-2 ;PMID: 38549123

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9
A novel estimator for the two-way partial AUC
A novel estimator for the two-way partial AUC
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A novel estimator for the two-way partial AUC

BMC medical informatics and decision making, 2024-02, Vol.24 (1), p.57-57 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02382-2 ;PMID: 38378636

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10
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies
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O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies

BMC medical informatics and decision making, 2024-01, Vol.24 (1), p.29-29, Article 29 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-024-02425-2 ;PMID: 38297364

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11
Development and validation of classifiers and variable subsets for predicting nursing home admission
Development and validation of classifiers and variable subsets for predicting nursing home admission
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Development and validation of classifiers and variable subsets for predicting nursing home admission

BMC medical informatics and decision making, 2017-04, Vol.17 (1), p.39-39, Article 39 [Peer Reviewed Journal]

Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-017-0442-4 ;PMID: 28407806

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12
Data-driven meal events detection using blood glucose response patterns
Data-driven meal events detection using blood glucose response patterns
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Data-driven meal events detection using blood glucose response patterns

BMC medical informatics and decision making, 2023-12, Vol.23 (1), p.282-282, Article 282 [Peer Reviewed Journal]

2023. The Author(s). ;2023. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02380-4 ;PMID: 38066494

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13
A hybrid cost-sensitive ensemble for heart disease prediction
A hybrid cost-sensitive ensemble for heart disease prediction
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A hybrid cost-sensitive ensemble for heart disease prediction

BMC medical informatics and decision making, 2021-02, Vol.21 (1), p.73-73, Article 73 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01436-7 ;PMID: 33632225

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14
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
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The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

BMC medical informatics and decision making, 2022-09, Vol.22 (1), p.1-242, Article 242 [Peer Reviewed Journal]

COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-022-01985-5 ;PMID: 36109726

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15
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
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Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter

BMC medical informatics and decision making, 2023-10, Vol.23 (1), p.1-217, Article 217 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02315-z

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16
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network
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Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network

BMC medical informatics and decision making, 2023-10, Vol.23 (1), p.1-216, Article 216 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02301-5 ;PMID: 37833661

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17
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
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Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles

BMC medical informatics and decision making, 2023-10, Vol.23 (1), p.1-198, Article 198 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02276-3

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18
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
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Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

BMC medical informatics and decision making, 2023-04, Vol.23 (1), p.54-54, Article 54 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02154-y ;PMID: 37024885

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19
An automated ICU agitation monitoring system for video streaming using deep learning classification
An automated ICU agitation monitoring system for video streaming using deep learning classification
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An automated ICU agitation monitoring system for video streaming using deep learning classification

BMC medical informatics and decision making, 2024-03, Vol.24 (1), p.77-77 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. This work is licensed 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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-024-02479-2 ;PMID: 38500135

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20
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm
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Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm

BMC medical informatics and decision making, 2023-09, Vol.23 (1), p.1-178, Article 178 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02262-9

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