Kathryn Ann Kaiser

Asst. Professor

The University of Alabama

United States

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About

Kathryn Ann Kaiser is an Assistant Professor at the University of Alabama at Birmingham, USA. Her research interests focus on machine learning applications in healthcare, systematic review methodologies, and the implications of dietary factors on health outcomes. Additionally, she explores topics related to scholarly communications, including metadata awareness and misuse of retracted data. Her recent publications reflect a commitment to advancing understanding in both clinical and academic settings.

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2021

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2021

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2020

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2020

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2020

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UNITED STATES

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Ginny Hendricks

Chief Program Officer

Crossref

UNITED KINGDOM

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Daniele Fanelli

Heriot-Watt University

UNITED KINGDOM

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Donald Beitz

Teacher and researcher/Distinguished professor

Iowa State University

UNITED STATES

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Margarita Teran-Garcia

Assistant Dean and Program Leader for Integrated Health Disparities

University of Illinois Urbana-Champaign Illinois Extension

UNITED STATES

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Kathryn Ann Kaiser

Research Interests

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Articles (12)

Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification

Benefits of calorie restriction in mice are mediated via energy imbalance, not absolute energy or protein intake

Reducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted data

What is Missing in Missing Data Handling? An Evaluation of Missingness in and Potential Remedies for Doctoral Dissertations and Subsequent Publications that Use NHANES Data

The effect of a pharmaceutical ghrelin agonist on lifespan in C57BL/6J male mice: A controlled experiment

Science dialogue mapping of knowledge and knowledge gaps related to the effects of dairy intake on human cardiovascular health and disease

An international, multi-stakeholder survey about metadata awareness, knowledge, and use in scholarly communications

CITY Health II - using entertainment education and social media to reduce HIV among emerging adults: A protocol paper for the Beat HIVe project.

Methods & Proposal for Metadata Guiding Principles for Scholarly Communications

Metadata 2020 Workathon Proceedings - Sept 2019

Biobehavioural approaches to prevention and treatment: A call for implementation science in obesity research

Exceptional reported effects and data anomalies merit explanation from “A randomized controlled trial of coordination exercise on cognitive function in obese adolescents” by Liu et al. (2018)

Collaborators (10)

Kevin Fontaine

Lama Ghazi

Tamika Smith

Jodi Schneider

Jin Chen

Hairui Yu

Ginny Hendricks

Daniele Fanelli

Donald Beitz

Margarita Teran-Garcia

Make your next move.

Kathryn Ann Kaiser

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification

Benefits of calorie restriction in mice are mediated via energy imbalance, not absolute energy or protein intake

Reducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted data

What is Missing in Missing Data Handling? An Evaluation of Missingness in and Potential Remedies for Doctoral Dissertations and Subsequent Publications that Use NHANES Data

The effect of a pharmaceutical ghrelin agonist on lifespan in C57BL/6J male mice: A controlled experiment

Science dialogue mapping of knowledge and knowledge gaps related to the effects of dairy intake on human cardiovascular health and disease

An international, multi-stakeholder survey about metadata awareness, knowledge, and use in scholarly communications

CITY Health II - using entertainment education and social media to reduce HIV among emerging adults: A protocol paper for the Beat HIVe project.

Methods &amp; Proposal for Metadata Guiding Principles for Scholarly Communications

Metadata 2020 Workathon Proceedings - Sept 2019

Biobehavioural approaches to prevention and treatment: A call for implementation science in obesity research

Exceptional reported effects and data anomalies merit explanation from “A randomized controlled trial of coordination exercise on cognitive function in obese adolescents” by Liu et al. (2018)

Collaborators (10)

Kevin Fontaine

Lama Ghazi

Tamika Smith

Jodi Schneider

Jin Chen

Hairui Yu

Ginny Hendricks

Daniele Fanelli

Donald Beitz

Margarita Teran-Garcia

Make your next move.

Methods & Proposal for Metadata Guiding Principles for Scholarly Communications