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1
Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment
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Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment

Journal of acquired immune deficiency syndromes (1999), 2018-02, Vol.77 (2), p.160-166 [Peer Reviewed Journal]

Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved. ;Copyright Lippincott Williams & Wilkins Ovid Technologies Feb 1, 2018 ;ISSN: 1525-4135 ;EISSN: 1944-7884 ;DOI: 10.1097/QAI.0000000000001580 ;PMID: 29084046

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2
Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector
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Adaptive Modelling Approach for Row-Type Dependent Predictive Analysis (RTDPA): A Framework for Designing Machine Learning Models for Credit Risk Analysis in Banking Sector

arXiv.org, 2023-11

2023. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.10799

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3
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes
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Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes

arXiv.org, 2022-07

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2207.05322

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4
Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model
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Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model

arXiv.org, 2022-10

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.04665

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5
Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques
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Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques

arXiv.org, 2021-06

2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2106.08889

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6
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset
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Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset

arXiv.org, 2023-02

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2301.07107

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7
Investigating Critical Risk Factors in Liver Cancer Prediction
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Investigating Critical Risk Factors in Liver Cancer Prediction

arXiv.org, 2021-02

2021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2102.02088

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8
Insurance pricing with hierarchically structured data: An illustration with a workers' compensation insurance portfolio
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Insurance pricing with hierarchically structured data: An illustration with a workers' compensation insurance portfolio

arXiv.org, 2022-06

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2206.15244

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9
A One-step Approach to Covariate Shift Adaptation
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A One-step Approach to Covariate Shift Adaptation

arXiv.org, 2021-05

2021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2007.04043

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10
A model for traffic incident prediction using emergency braking data
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A model for traffic incident prediction using emergency braking data

arXiv.org, 2021-05

2021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2102.06674

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11
Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach
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Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

arXiv.org, 2020-05

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2005.03582

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12
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

arXiv.org, 2020-12

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2006.10517

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13
Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes
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Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes

arXiv.org, 2020-10

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2011.08068

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14
Explainable AI for Trees: From Local Explanations to Global Understanding
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Explainable AI for Trees: From Local Explanations to Global Understanding

arXiv.org, 2019-05

2019. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1905.04610

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15
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles
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Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles

arXiv.org, 2017-10

2017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1710.02264

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16
Prognostics of Surgical Site Infections using Dynamic Health Data
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Prognostics of Surgical Site Infections using Dynamic Health Data

arXiv.org, 2016-11

2016. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1611.04049

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