Prakash Adekkanattu

Also affiliated with Weill Cornell Medicine

Computer SciencePsychologyBiochemistry, Genetics and Molecular BiologyHealth Professions

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 14 papers. Top paper: “Social connectedness as a determinant of mental health: A scoping review”.

Social connectedness as a determinant of mental health: A scoping review

PLoS ONE(2022)10.1371/journal.pone.0275004

N/A

6.0DataRank · unranked

339 citations

Tenzin Yangchen, Lauren Lepow, Braja Gopal Patra, Benjamin Glicksburg, Ardesheer Talati +9 more

Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae260

N/A

0.962DataRank · unranked

30 citations

Lauren Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Sharma, Prakash Adekkanattu +15 more

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab170

N/A

0.823DataRank · unranked

240 citations

Mohit Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V. Patterson, Benjamin Scott Glicksberg +17 more

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice(2023)10.1176/appi.prcp.20220015

N/A

0.725DataRank · unranked

17 citations

Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu +10 more

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias

Journal of Biomedical Informatics(2024)10.1016/j.jbi.2024.104642

N/A

0.520DataRank · unranked

31 citations

Peng Cheng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra +11 more

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

arXiv (Cornell University)(2024)10.48550/arxiv.2403.17199

N/A

0.165DataRank · unranked

2 citations

Lauren Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Sharma, Prakash Adekkanattu +14 more

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports(2023)10.1038/s41598-023-27493-8

N/A

0DataRank · unranked

17 citations

Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu +13 more

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Scientific Reports(2023)10.1038/s41598-023-35258-6

N/A

0DataRank · unranked

11 citations

Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L. Liberman +14 more

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104442

N/A

0DataRank · unranked

65 citations

Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco +8 more

Subphenotyping depression using machine learning and electronic health records

Learning Health Systems(2020)10.1002/lrh2.10241

N/A

0DataRank · unranked

30 citations

Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt +9 more

Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation

Journal of Psychiatric Research(2021)10.1016/j.jpsychires.2021.01.052

N/A

0DataRank · unranked

79 citations

Prakash Adekkanattu, Thomas R. Campion, Evan Sholle, Annie Myers, Samprit Banerjee +4 more

Design and validation of a FHIR-based EHR-driven phenotyping toolbox

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac063

N/A

0DataRank · unranked

12 citations

Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone +11 more

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review

Journal of Clinical Medicine(2022)10.3390/jcm11164813

N/A

0DataRank · unranked

10 citations

Motomori O. Lewis, Yuhua Bao, Prakash Adekkanattu, Lauren Adkins, Samprit Banerjee +13 more

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems(2020)10.1002/lrh2.10233

N/A

0DataRank · unranked

24 citations

Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad +9 more