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1
Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment
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
Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators
Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators
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Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators

Journal of acquired immune deficiency syndromes (1999), 2019-11, Vol.82 (3), p.305-313 [Peer Reviewed Journal]

Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved. ;Copyright Lippincott Williams & Wilkins Ovid Technologies Nov 1, 2019 ;ISSN: 1525-4135 ;EISSN: 1944-7884 ;DOI: 10.1097/QAI.0000000000002130 ;PMID: 31339866

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3
Associative prediction of carotid artery plaques based on ultrasound strain imaging and cardiovascular risk factors in people living with HIV and age-matched control subjects of the CHACS cohort
Associative prediction of carotid artery plaques based on ultrasound strain imaging and cardiovascular risk factors in people living with HIV and age-matched control subjects of the CHACS cohort
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Associative prediction of carotid artery plaques based on ultrasound strain imaging and cardiovascular risk factors in people living with HIV and age-matched control subjects of the CHACS cohort

Journal of acquired immune deficiency syndromes (1999), 2022-09, Vol.91 (1), p.91-100 [Peer Reviewed Journal]

Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved. ;ISSN: 1525-4135 ;EISSN: 1944-7884 ;DOI: 10.1097/QAI.0000000000003016 ;PMID: 35510848

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4
Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?
Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?
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Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?

Journal of acquired immune deficiency syndromes (1999), 2021-10, Vol.88 (2), p.192-196 [Peer Reviewed Journal]

Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved. ;ISSN: 1525-4135 ;EISSN: 1944-7884 ;DOI: 10.1097/QAI.0000000000002752 ;PMID: 34506360

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5
Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis
Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis
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Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis

arXiv.org, 2024-05

2024. 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.2405.01913

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6
Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
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Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis

arXiv.org, 2024-02

2024. 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.2402.10421

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7
A review of methods for assessing and managing market access and biosecurity risks using systems approaches
A review of methods for assessing and managing market access and biosecurity risks using systems approaches
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A review of methods for assessing and managing market access and biosecurity risks using systems approaches

New Zealand plant protection, 2013, Vol.66, p.1-9

ISSN: 1179-352X ;ISSN: 1175-9003 ;EISSN: 1179-352X ;DOI: 10.30843/nzpp.2013.66.5511

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8
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach
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Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach

arXiv.org, 2022-08

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.2208.05335

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9
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes
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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10
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
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A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation

arXiv.org, 2022-04

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.2112.12719

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11
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
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Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables

arXiv.org, 2022-02

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.2202.09875

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12
Learning Rates for Nonconvex Pairwise Learning
Learning Rates for Nonconvex Pairwise Learning
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Learning Rates for Nonconvex Pairwise Learning

arXiv.org, 2021-11

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.2111.05232

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13
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
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Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease

arXiv.org, 2022-09

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.2209.04793

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14
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery
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Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery

arXiv.org, 2024-05

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.01994

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15
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
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Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction

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.2207.04539

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16
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
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Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity

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.2207.00751

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17
Excess risk analysis for epistemic uncertainty with application to variational inference
Excess risk analysis for epistemic uncertainty with application to variational inference
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Excess risk analysis for epistemic uncertainty with application to variational inference

arXiv.org, 2022-06

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.2206.01606

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18
Meta Representation Learning with Contextual Linear Bandits
Meta Representation Learning with Contextual Linear Bandits
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Meta Representation Learning with Contextual Linear Bandits

arXiv.org, 2022-05

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.2205.15100

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19
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
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A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models

arXiv.org, 2021-07

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2103.02718

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20
Machine learning in the social and health sciences
Machine learning in the social and health sciences
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Machine learning in the social and health sciences

arXiv.org, 2021-06

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2106.10716

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