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Prakash M. Nadkarni

Prakash M. Nadkarni

Overview

Prakash M. Nadkarni is affiliated with Yale University in the United States. Their research spans multiple fields of study, prominently including Medicine and Computer Science. Within these fields, their work covers several subfields such as Pulmonary and Respiratory Medicine, Epidemiology, Computer Networks and Communications, and Signal Processing.

The main topics of Nadkarni's research focus on congenital heart disease studies, aortic disease and treatment approaches, cardiovascular and diving-related complications, as well as network security and intrusion detection and advanced malware detection techniques.

The recent publications by Nadkarni include:

  • Percutaneous Transcatheter Therapy in a Case of Lutembacher's Syndrome, 2024, Indian Journal of Clinical Cardiology
  • A Survey On Secure Machine Learning, 2025, arXiv (Cornell University)

The venues where Nadkarni frequently publishes include the Indian Journal of Clinical Cardiology and arXiv (Cornell University).

Research collaboration is a part of Nadkarni's work. Frequent co-authors include Michelle Viegas Parab, Guruprasad Naik, Taobo Liao, and Taoran Li.

Best Publications

  • Natural language processing: an introduction.

    Prakash M. Nadkarni;Lucila Ohno-Machado;Wendy Webber Chapman

  • Organization of Heterogeneous Scientific Data Using the EAV/CR Representation

    Prakash M. Nadkarni;Luis N. Marenco;Roland Chen;Emmanouil Skoufos

  • Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

    Wendy Webber Chapman;Prakash M. Nadkarni;Lynette Hirschman;Leonard W. D'Avolio;Leonard W. D'Avolio

  • Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS

    Pradeep G. Mutalik;Aniruddha Deshpande;Prakash M. Nadkarni

  • Data Extraction and Ad Hoc Query of an Entity- Attribute-Value Database

    Prakash M. Nadkarni;Cynthia Brandt

  • The Human Brain Project : neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data

    Gordon M. Shepherd;Jason S. Mirsky;Matthew D. Healy;Michael S. Singer

  • UMLS concept indexing for production databases: a feasibility study.

    Prakash M. Nadkarni;Roland Chen;Cynthia Brandt

  • Guidelines for the effective use of entity-attribute-value modeling for biomedical databases.

    Valentin Dinu;Prakash M. Nadkarni

  • Managing Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database System

    Prakash M. Nadkarni;Cynthia Brandt;Sandra J. Frawley;Frederick G. Sayward

  • Exploring performance issues for a clinical database organized using an entity-attribute-value representation.

    Roland Chen;Prakash M. Nadkarni;Luis N. Marenco;Forrest W. Levin

  • WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases.

    Prakash M. Nadkarni;Cynthia M. Brandt;Luis Marenco

  • Exploring the Degree of Concordance of Coded and Textual Data in Answering Clinical Queries from a Clinical Data Repository

    H. David Stein;Prakash M. Nadkarni;Joseph Erdos;Perry L. Miller

  • Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances.

    Luis N. Marenco;Nicholas P. Tosches;Chiquito J. Crasto;Gordon M. Shepherd

  • Data standards for clinical research data collection forms: current status and challenges

    Rachel L. Richesson;Prakash M. Nadkarni

  • The Common Data Elements for Cancer Research: Remarks on Functions and Structure

    Prakash M. Nadkarni;Cynthia A. Brandt

  • Metadata-driven creation of data marts from an EAV-modeled clinical research database.

    Cynthia A Brandt;Richard Morse;Keri Matthews;Kexin Sun

  • Migrating existing clinical content from ICD-9 to SNOMED

    Prakash M Nadkarni;Jonathan A Darer

  • Drug safety surveillance using de-identified EMR and claims data: issues and challenges.

    Prakash M Nadkarni

  • Database tools for integrating and searching membrane property data correlated with neuronal morphology

    Jason S. Mirsky;Prakash M. Nadkarni;Matthew D. Healy;Perry L. Miller

  • Using a Computer Database to Monitor Compliance With Pharmacotherapeutic Guidelines for Schizophrenia

    Roland S. Chen;Prakash M. Nadkarni;Forrest L. Levin;Perry L. Miller

Frequent Co-Authors

Perry L. Miller
Perry L. Miller Yale University
Gordon M. Shepherd
Gordon M. Shepherd Yale School of Medicine
Kei-Hoi Cheung
Kei-Hoi Cheung Yale University
Kenneth K. Kidd
Kenneth K. Kidd Yale University
Michele Migliore
Michele Migliore National Academies of Sciences, Engineering, and Medicine
Andrew J. Pakstis
Andrew J. Pakstis Yale University
Stephen T. Reeders
Stephen T. Reeders Brigham and Women's Hospital
Michael L. Hines
Michael L. Hines Yale University
David C. Ward
David C. Ward Nevada Cancer Research Foundation
Raju Kucherlapati
Raju Kucherlapati Harvard University

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