Kavishwar B. Wagholikar

According to our database, Kavishwar B. Wagholikar authored at least 61 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

I2b2-etl: Python application for importing electronic health data into the informatics for integrating biology and the bedside platform.

Kavishwar B. Wagholikar, Layne Ainsworth, David Zelle, Kira Chaney, Michael Mendis, Jeffrey G. Klann, Alexander J. Blood, Angela Miller, Rupendra Chulyadyo, Michael Oates, William J. Gordon, Samuel J. Aronson, Benjamin M. Scirica, Shawn N. Murphy

Bioinform., October, 2022

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 2022

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco

npj Digit. Medicine, 2022

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes.

Hossein Estiri, Zachary H. Strasser, Sina Rashidian, Jeffrey G. Klann, Kavishwar B. Wagholikar, Thomas H. McCoy Jr., Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2022

2021

Predicting COVID-19 mortality with electronic medical records.

Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Pourandokht Naseri, Kavishwar B. Wagholikar, Shawn N. Murphy

npj Digit. Medicine, 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.

Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2021

Workflow Automation for a Virtual Hypertension Management Program.

Samuel J. Aronson, Benjamin M. Scirica, William J. Gordon, Alexander J. Blood, Kira Chaney, Eugene Clark, Corey Glynn, Remlee Green, John St. Laurent, Charlotte Mailly, Marian McPartlin, Shawn Murphy, Hunter Nichols, Michael Oates, Samantha Subramaniam, Matthew Varugheese, Kavishwar B. Wagholikar

Appl. Clin. Inform., 2021

2020

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations.

Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Thomas H. McCoy Jr., Kavishwar B. Wagholikar, Sebastien Vasey, Victor M. Castro, Marykate Murphy, Shawn N. Murphy

Patterns, 2020

Polar labeling: silver standard algorithm for training disease classifiers.

Kavishwar B. Wagholikar, Hossein Estiri, Marykate Murphy, Shawn N. Murphy

Bioinform., 2020

High-throughput Phenotyping with EHR Sequences.

Shawn N. Murphy, Hossein Estiri, Zachary H. Strasser, Kavishwar B. Wagholikar, Victor M. Castro

Proceedings of the AMIA 2020, 2020

2019

Plugin for importing spreadsheets into Informatics for Integrating Biology and the Bedside platform.

Akshay Zagade, Vishal Vernekar, Shek-Wayne Chan, Kavishwar B. Wagholikar, Rupendra Chulyadyo, Yuri Ostrovsky, Alyssa P. Goodson, Ameet Pathak, Christopher Herrick, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

Stratification of Patient Population for enabling data-driven Clinical Interventions using I2b2.

Kavishwar B. Wagholikar, Vishal Vernekar, Akshay Zagade, Yuri Ostrovsky, Shek-Wayne Chan, Alyssa P. Goodson, Ameet Pathak, Corey Glynn, Christopher Herrick, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

Dynamic Phenotyping to facilitate Accrual for Prospective Clinical studies: A Case Study in Heart Failure.

Kavishwar B. Wagholikar, Christina M. Fischer, Alyssa P. Goodson, Christopher Herrick, Taylor Maclean, Katelyn Smith, Liliana Fera, Thomas Gaziano, Jacqueline Dunning, Joshua Bosque-Hamilton, Lina Matta, Eloy Toscano, Brent Richter, Layne Ainsworth, Michael Oates, Samuel J. Aronson, Calum A. MacRae, Benjamin Morgan Scirica, Akshay S. Desai, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

Patient Stratification Process for enabling Clinical Interventions.

Kavishwar B. Wagholikar, Samuel J. Aronson, Benjamin Morgan Scirica, Akshay S. Desai, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

Ontologies Enabling Computable Tables.

Jeffrey G. Klann, Nich Wattanasin, Michael Mendis, Matthew A. Joss, Hossein Estiri, Kavishwar B. Wagholikar, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

2018

Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.

Kavishwar B. Wagholikar, Pralav P. Dessai, Javier Sanz, Michael Mendis, Douglas S. Bell, Shawn N. Murphy

BMC Medical Informatics Decis. Mak., 2018

Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).

Kavishwar B. Wagholikar, Christina M. Fischer, Alyssa P. Goodson, Christopher D. Herrick, Martin Rees, Eloy Toscano, Calum A. MacRae, Benjamin M. Scirica, Akshay S. Desai, Shawn N. Murphy

J. Medical Syst., 2018

Web services for data warehouses: OMOP and PCORnet on i2b2.

Jeffrey G. Klann, Lori C. Phillips, Christopher Herrick, Matthew A. Joss, Kavishwar B. Wagholikar, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2018

Improving the Accuracy of a Clinical Decision Support System for Cervical Cancer Screening and Surveillance.

K. E. Ravikumar, Kathy L. MacLaughlin, Marianne R. Scheitel, Maya Kessler, Kavishwar B. Wagholikar, Hongfang Liu, Rajeev Chaudhry

Appl. Clin. Inform., 2018

Natural Language Processing to Detect High Information Findings for Patients at risk of Missed Diagnosis.

Tzu-I Yang, Chia-Ching Chou, Kavishwar B. Wagholikar, Mitchell J. Feldman, Henry C. Chueh

Proceedings of the AMIA 2018, 2018

On DXplain vocabulary development: Past and Present.

Mitchell J. Feldman, Kavishwar B. Wagholikar, Kathleen Famiglietti, Richard J. Kim, Edward P. Hoffer, Henry C. Chueh

Proceedings of the AMIA 2018, 2018

2017

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh

BMC Medical Informatics Decis. Mak., 2017

SMART-on-FHIR implemented over i2b2.

Kavishwar B. Wagholikar, Joshua C. Mandel, Jeffrey G. Klann, Nich Wattanasin, Michael Mendis, Christopher G. Chute, Kenneth D. Mandl, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2017

Classifiers for Identifying the Medical Specialty of Clinical Documents.

Wei-Hung Weng, Kavishwar B. Wagholikar, Henry C. Chueh

Proceedings of the Summit on Clinical Research Informatics, 2017

Evolving Research Data Sharing Networks to Clinical App Sharing Networks.

Kavishwar B. Wagholikar, Rahul Jain, Eliel Oliveira, Joshua C. Mandel, Jeffrey G. Klann, Ricardo Colas, Prasad Patil, Kuladip Yadav, Kenneth D. Mandl, Shawn N. Murphy

Proceedings of the Summit on Clinical Research Informatics, 2017

Computing Performance Analysis on Clinical Document-level Classification.

Wei-Hung Weng, Kavishwar B. Wagholikar, Henry Chueh

Proceedings of the AMIA 2017, 2017

Web-Service-Enabled Apps for Research: SMART-on-FHIR for OMOP and PCORNet.

Jeffrey G. Klann, Kavishwar B. Wagholikar, Lori C. Phillips, Matthew A. Joss, Shawn N. Murphy

Proceedings of the AMIA 2017, 2017

Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool.

Hossein Estiri, Jeffrey G. Klann, Kavishwar B. Wagholikar, Shawn N. Murphy

Proceedings of the AMIA 2017, 2017

2016

Erratum to: Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature.

Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Dingcheng Li, Jean-Pierre A. Kocher, Hongfang Liu

BMC Bioinform., 2016

Read only SMART on FHIR Façade for I2b2.

Kavishwar B. Wagholikar, Joshua C. Mandel, Jeffrey G. Klann, Nich Wattanasin, Michael Mendis, Christopher G. Chute, Kenneth D. Mandl, Shawn N. Murphy

Proceedings of the Summit on Clinical Research Informatics, 2016

Improving the Workflow of Curbside Consultation by Using Unstructured Clinical Notes - a Natural Language and Machine Learning-based Approach.

Wei-Hung Weng, Avni Khatri, Kavishwar B. Wagholikar, Adam Cohen, Henry Chueh

Proceedings of the AMIA 2016, 2016

Evaluation of SMART-on-FHIR I2b2 cell using PCORNET data model.

Kavishwar B. Wagholikar, Rahul Jain, Eliel Oliveira, Joshua C. Mandel, Jeffrey G. Klann, Prasad Patil, Kenneth D. Mandl, Shawn N. Murphy, Thomas Carton

Proceedings of the AMIA 2016, 2016

Cajun Codefest 4.0 on SMART-on-FHIR apps for Diabetes.

Kavishwar B. Wagholikar, Rahul Jain, Eliel Oliveira, Henry Chu, Harshal Shah, Joshua C. Mandel, Jeffrey G. Klann, Sohail Rao, Kenneth D. Mandl, Shawn N. Murphy, Thomas Carton

Proceedings of the AMIA 2016, 2016

Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'.

Stéphane M. Meystre, Hongfang Liu, Rong Xu, Sivaram Arabandi, Kavishwar B. Wagholikar, Jon D. Patrick, Guergana K. Savova, Chunhua Weng, Pierre Zweigenbaum, Dina Demner-Fushman, Özlem Uzuner, Hua Xu

Proceedings of the AMIA 2016, 2016

2015

Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature.

Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Dingcheng Li, Jean-Pierre A. Kocher, Hongfang Liu

BMC Bioinform., 2015

Evaluation of the accuracy of CDS for cervical cancer screening and surveillance.

Kathy L. MacLaughlin, Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Marianne R. Scheitel, Hongfang Liu, Rajeev Chaudhry

Proceedings of the AMIA 2015, 2015

2014

Detecting concept mentions in biomedical text using hidden Markov model: multiple concept types at once or one at a time?

Manabu Torii, Kavishwar B. Wagholikar, Hongfang Liu

J. Biomed. Semant., 2014

Towards Pathway Curation Through Literature Mining - A Case Study Using PharmGKB.

K. E. Ravikumar, Kavishwar B. Wagholikar, Hongfang Liu

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Challenges in adapting text mining for full text articles to assist pathway curation.

K. E. Ravikumar, Kavishwar B. Wagholikar, Hongfang Liu

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

NLP enhances Quality Care Measures in Heart Failure.

Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Hongfang Liu

Proceedings of the AMIA 2014, 2014

2013

Research and applications: Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening.

Kavishwar B. Wagholikar, Kathy L. MacLaughlin, Thomas M. Kastner, Petra M. Casey, Michael R. Henry, Robert A. Greenes, Hongfang Liu, Rajeev Chaudhry

J. Am. Medical Informatics Assoc., 2013

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

Sunghwan Sohn, Kavishwar B. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, Cui Tao, Ravikumar Komandur Elayavilli, Hongfang Liu

J. Am. Medical Informatics Assoc., 2013

Pooling annotated corpora for clinical concept extraction.

Kavishwar B. Wagholikar, Manabu Torii, Siddhartha Jonnalagadda, Hongfang Liu

J. Biomed. Semant., 2013

Integrated cTAKES for Concept Mention Detection and Normalization.

Hongfang Liu, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Sunghwan Sohn

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Decision Support can Improve Time Efficiency of Healthcare Providers for Deciding Preventive Care Recommendations.

Kavishwar B. Wagholikar, Ronald A. Hankey, Hongfang Liu, Rajeev Chaudhry

Proceedings of the AMIA 2013, 2013

2012

Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions.

Kavishwar B. Wagholikar, Vijayraghavan Sundararajan, Ashok W. Deshpande

J. Medical Syst., 2012

Evaluation of Fuzzy Relation Method for Medical Decision Support.

Kavishwar B. Wagholikar, Sanjeev Mangrulkar, Ashok W. Deshpande, Vijayraghavan Sundararajan

J. Medical Syst., 2012

Clinical decision support with automated text processing for cervical cancer screening.

Kavishwar B. Wagholikar, Kathy L. MacLaughlin, Michael R. Henry, Robert A. Greenes, Ronald A. Hankey, Hongfang Liu, Rajeev Chaudhry

J. Am. Medical Informatics Assoc., 2012

Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.

Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu

J. Am. Medical Informatics Assoc., 2012

Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing.

Kavishwar B. Wagholikar, Sunghwan Sohn, Stephen T. Wu, Vinod Kaggal, Sheila Buehler, Robert A. Greenes, Tsung-Teh Wu, David W. Larson, Hongfang Liu, Rajeev Chaudhry, Lisa Boardman

Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Systematic Analysis of Cross-Institutional Medication Description Patterns in Clinical Notes.

Sunghwan Sohn, Sean P. Murphy, Siddhartha Jonnalagadda, Kavishwar B. Wagholikar, Stephen T. Wu, Christopher G. Chute, Hongfang Liu, Scott R. Halgrim

Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Classifying protein complexes from candidate subgraphs using fuzzy machine learning model.

Bo Xu, Hongfei Lin, Zhihao Yang, Kavishwar B. Wagholikar, Hongfang Liu

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Asthma Status Identification with Natural Language Processing.

Stephen T. Wu, Young J. Juhn, Sunghwan Sohn, Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Siddhartha Jonnalagadda, Hongfang Liu

Proceedings of the AMIA 2012, 2012

Clinical Decision Support with Natural Language Processing for Cervical Cancer Screening.

Kavishwar B. Wagholikar, Kathy L. MacLaughlin, Michael R. Henry, Robert A. Greenes, Ronald A. Hankey, Hongfang Liu, Rajeev Chaudhry

Proceedings of the AMIA 2012, 2012

Towards a semantic lexicon for clinical natural language processing.

Hongfang Liu, Stephen T. Wu, Dingcheng Li, Siddhartha Jonnalagadda, Sunghwan Sohn, Kavishwar B. Wagholikar, Peter J. Haug, Stanley M. Huff, Christopher G. Chute

Proceedings of the AMIA 2012, 2012

2011

Using machine learning for concept extraction on clinical documents from multiple data sources.

Manabu Torii, Kavishwar B. Wagholikar, Hongfang Liu

J. Am. Medical Informatics Assoc., 2011

Empirical Ontologies for Cohort Identification.

Stephen T. Wu, Kavishwar B. Wagholikar, Sunghwan Sohn, Vinod Kaggal, Hongfang Liu

Proceedings of The Twentieth Text REtrieval Conference, 2011

Human gene/protein synonym dictionary from WikiLinks.

Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu

Proceedings of the ACM International Conference on Bioinformatics, 2011

2008

Fuzzy relation based modeling for medical diagnostic decision support: Case studies.

Kavishwar B. Wagholikar, Ashok W. Deshpande

Int. J. Knowl. Based Intell. Eng. Syst., 2008

2007

Fuzzy Medical Diagnostic Decision Support with Semiautomatic Knowledge Acquisition: A Case Study in Infectious Diseases.

Kavishwar B. Wagholikar, Ashok W. Deshpande

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

2005

Fuzzy Modeling in Medical Diagnosis: A Case Study for Cardiovascular Diseases.

Kavishwar B. Wagholikar, Shirish Sutar, Ashok W. Deshpande

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005