Full Text Journal Articles by
Author Vinod Subramanian

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Customizable Natural Language Processing Biomarker Extraction Tool.

Benjamin Holmes, Dhananjay Chitale, Joshua Loving, Mary Tran, Vinod Subramanian, Anna Berry, Matthew Rioth, Raghu Warrier, Thomas Brown,

<h4>Purpose</h4>Natural language processing (NLP) in pathology reports to extract biomarker information is an ongoing area of research. MetaMap is a natural language processing tool developed and funded by the National Library of Medicine to map biomedical text to the Unified Medical Language System Metathesaurus by applying specific tags to clinically ... Read more >>

JCO Clin Cancer Inform (JCO clinical cancer informatics)
[2021, 5:833-841]

Cited: 0 times

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Validation of a Mortality Composite Score in the Real-World Setting: Overcoming Source-Specific Disparities and Biases.

Michelle H Lerman, Benjamin Holmes, Daniel St Hilaire, Mary Tran, Matthew Rioth, Vinod Subramanian, Alissa M Winzeler, Thomas Brown,

<h4>Purpose</h4>This study tested whether a composite mortality score could overcome gaps and potential biases in individual real-world mortality data sources. Complete and accurate mortality data are necessary to calculate important outcomes in oncology, including overall survival. However, in the United States, there is not a single complete and broadly applicable ... Read more >>

JCO Clin Cancer Inform (JCO clinical cancer informatics)
[2021, 5:401-413]

Cited: 0 times

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Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations.

Becky Inkster, Ross O'Brien, Emma Selby, Smriti Joshi, Vinod Subramanian, Madhura Kadaba, Knut Schroeder, Suzi Godson, Kerstyn Comley, Sebastian J Vollmer, Bilal A Mateen,

During the coronavirus disease (COVID-19) crisis, digital technologies have become a major route for accessing remote care. Therefore, the need to ensure that these tools are safe and effective has never been greater. We raise five calls to action to ensure the safety, availability, and long-term sustainability of these technologies: ... Read more >>

JMIR Ment Health (JMIR mental health)
[2020, 7(7):e19246]

Cited: 7 times

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Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study.

Archana Sarda, Suresh Munuswamy, Shubhankar Sarda, Vinod Subramanian,

BACKGROUND:Research studies are establishing the use of smartphone sensing to measure mental well-being. Smartphone sensor information captures behavioral patterns, and its analysis helps reveal well-being changes. Depression in diabetes goes highly underdiagnosed and underreported. The comorbidity has been associated with increased mortality and worse clinical outcomes, including poor glycemic control ... Read more >>

JMIR Mhealth Uhealth (JMIR mHealth and uHealth)
[2019, 7(1):e11041]

Cited: 7 times

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An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study.

Becky Inkster, Shubhankar Sarda, Vinod Subramanian,

<h4>Background</h4>A World Health Organization 2017 report stated that major depression affects almost 5% of the human population. Major depression is associated with impaired psychosocial functioning and reduced quality of life. Challenges such as shortage of mental health personnel, long waiting times, perceived stigma, and lower government spends pose barriers to ... Read more >>

JMIR Mhealth Uhealth (JMIR mHealth and uHealth)
[2018, 6(11):e12106]

Cited: 36 times

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