Prakash Adekkanattu

According to our database1, Prakash Adekkanattu authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model.
CoRR, 2024

2023
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics, August, 2023

2022
Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
J. Am. Medical Informatics Assoc., 2022

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR, 2022

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.
CoRR, 2022

2021
Extracting social determinants of health from electronic health records using natural language processing: a systematic review.
J. Am. Medical Informatics Assoc., 2021

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics, 2020

Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020

Weak Supervision to Classify Unstructured Clinical Text for Current Suicidal Ideation.
Proceedings of the AMIA 2020, 2020

Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020

2019
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
J. Biomed. Informatics, 2019

Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.
J. Am. Medical Informatics Assoc., 2019

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR, 2019

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Automated Information Extraction to Support Response Assessment in Myeloproliferative Neoplasms.
Proceedings of the AMIA 2019, 2019

Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
Proceedings of the AMIA 2019, 2019

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
Proceedings of the AMIA 2019, 2019

2018
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.
Proceedings of the AMIA 2018, 2018


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