Parisa Rashidi

ORCID: 0000-0003-4530-2048

Computer ScienceMedicine

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 3%percentile

1.3Author DataRank

Indexed papers

4in 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 4 indexed papers 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis

Scientific Reports(2023)10.1038/s41598-023-45006-5

Top 37%

0.528DataRank

Top 37%12 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Papers

Driven by 67 papers — median percentile 53. Top paper: “Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands”.

Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands

Scientific Reports(2023)10.1038/s41598-023-34518-9

N/A

0.656DataRank · unranked

11 citations

Jack Wittmayer, David J. Libon, Patrick Tighe, Catherine C. Price, Parisa Rashidi +1 more

Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia

Scientific Reports(2022)10.1038/s41598-022-12024-8

N/A

0.530DataRank · unranked

11 citations

Catherine Dion, David J. Libon, Catherine C. Price, Patrick Tighe, Parisa Rashidi +1 more

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis

Scientific Reports(2023)10.1038/s41598-023-45006-5

Top 37%

0.528DataRank

Top 37%12 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation

Pain Medicine(2020)10.1093/pm/pnaa061

Top 44%

0.425DataRank

Top 44%16 citations

Bharadwaj Sannapaneni, Roger B. Fillingim, Charles Doyle, Michael Kent, Ben Shickel +2 more

Physiologic signatures within six hours of hospitalization identify acute illness phenotypes

PLOS Digital Health(2022)10.1371/journal.pdig.0000110

Top 50%

0.351DataRank

Top 50%7 citations

Tyler J. Loftus, Yanjun Li, Ziyuan Guan, Matthew M. Ruppert, Shounak Datta +7 more

Multi-hospital electronic decision support for drug-associated acute kidney injury (MEnD-AKI): Study protocol for a randomized clinical trial

Contemporary Clinical Trials(2025)10.1016/j.cct.2025.108055

N/A

0.104DataRank · unranked

1 citations

John A. Kellum, Azra Bihorac, Tezcan Ozrazgat‐Baslanti, Raghavan Murugan, Chung‐Chou Ho Chang +11 more

Opportunities for machine learning to improve surgical ward safety

The American Journal of Surgery(2020)10.1016/j.amjsurg.2020.02.037

N/A

0DataRank · unranked

25 citations

Patrick Tighe, Amanda C. Filiberto, Jeremy A. Balch, Gilbert R. Upchurch, Parisa Rashidi +2 more

A Simulated Graphical Interface for Integrating Patient-Generated Health Data From Smartwatches With Electronic Health Records: Usability Study

JMIR Human Factors(2020)10.2196/19769

N/A

0DataRank · unranked

7 citations

Naga S Prabhakar Kota, Sanjay Ranka, Tonatiuh Mendoza, Laurence M. Solberg, Parisa Rashidi +2 more

The impact of environmental risk factors on delirium and benefits of noise and light modifications: a scoping review

F1000Research(2020)10.12688/f1000research.25901.1

N/A

0DataRank · unranked

7 citations

Julie S Cupka, Jessica Lipori, Matthew M. Ruppert, Elizabeth Ingersent, Tezcan Ozrazgat‐Baslanti +3 more

The Impact of Environmental Risk Factors on Delirium and Benefits of Noise and Light Modifications: A Scoping Review

medRxiv(2020)10.1101/2020.05.20.20108373

N/A

0DataRank · unranked

7 citations

Julie S Cupka, Jessica Lipori, Matthew M. Ruppert, Elizabeth Ingersent, Tezcan Ozrazgat‐Baslanti +3 more

A Survey of Electronic Health Record (EHR) Variables Associated with Postoperative Delirium: A Systematic Review

medRxiv(2020)10.1101/2020.05.28.20116251

N/A

0DataRank · unranked

0 citations

Haleh Hashemighouchani, Emel Bihorac, Seth Williams, Laura Cristina Vélez, Julie S Cupka +4 more

Accessing Artificial Intelligence for Clinical Decision-Making

Frontiers in Digital Health(2021)10.3389/fdgth.2021.645232

N/A

0DataRank · unranked

308 citations

Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick Tighe +1 more

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

JMIR mhealth and uhealth(2021)10.2196/23681

N/A

0DataRank · unranked

45 citations

Mamoun Mardini, David Nelson, Fahd Albinali, Sanjay Ranka, Parisa Rashidi +2 more

Machine Learning Applications in Solid Organ Transplantation and Related Complications

Frontiers in Immunology(2021)10.3389/fimmu.2021.739728

N/A

0DataRank · unranked

30 citations

Daniel Delitto, Patrick Tighe, Ali Zarrinpar, Philip A. Efron, Parisa Rashidi +4 more

Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.31669

N/A

0DataRank · unranked

23 citations

Matthew M. Ruppert, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Philip A. Efron, Patrick Tighe +5 more

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2021)10.12688/f1000research.25769.2

N/A

0DataRank · unranked

8 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more

Uncertainty-aware deep learning in healthcare: A scoping review

PLOS Digital Health(2022)10.1371/journal.pdig.0000085

N/A

0DataRank · unranked

60 citations

Benjamin Shickel, Matthew M. Ruppert, Jeremy A. Balch, Tezcan Ozrazgat‐Baslanti, Patrick Tighe +6 more

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

PLOS Digital Health(2022)10.1371/journal.pdig.0000006

N/A

0DataRank · unranked

55 citations

Patrick Tighe, Tezcan Ozrazgat‐Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren +8 more

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks

Frontiers in Digital Health(2022)10.3389/fdgth.2022.1029191

N/A

0DataRank · unranked

18 citations

Brandon Silva, Tezcan Ozrazgat‐Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan +4 more

Early Biomarker Signatures in Surgical Sepsis

Journal of Surgical Research(2022)10.1016/j.jss.2022.04.052

N/A

0DataRank · unranked

17 citations

Vishal Patel, Tyler J. Loftus, Yuanfang Ren, Han Li, Laura M. Velez +8 more

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit

Frontiers in Digital Health(2022)10.3389/fdgth.2022.773387

N/A

0DataRank · unranked

7 citations

Benjamin Shickel, Patrick Tighe, Azra Bihorac, Parisa Rashidi, Anis Davoudi

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2022)10.12688/f1000research.25769.3

N/A

0DataRank · unranked

2 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more

Using Variational Autoencoder to Develop and Validate a Compact, Deep Representation of Digital Clock Drawing Test for Classifying Dementia

Research Square(2022)10.21203/rs.3.rs-1207133/v1

N/A

0DataRank · unranked

0 citations

Catherine Dion, David J. Libon, Patrick Tighe, Catherine C. Price, Parisa Rashidi +1 more

Long-Term Postoperative Pain Prediction Using Higher-Order Singular Value Decomposition of Intraoperative Physiological Responses: Prospective Cohort Study

JMIR Perioperative Medicine(2022)10.2196/37104

N/A

0DataRank · unranked

0 citations

José C. Prı́ncipe, Parisa Rashidi, Patrick Tighe, Raheleh Baharloo

A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients

Surgery(2023)10.1016/j.surg.2023.05.003

N/A

0DataRank · unranked

61 citations

Yuanfang Ren, Matthew M. Ruppert, Benjamin Shickel, Sandra L. Kane‐Gill, Raghavan Murugan +4 more

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks

Scientific Reports(2023)10.1038/s41598-023-27418-5

N/A

0DataRank · unranked

48 citations

Tyler J. Loftus, Matthew M. Ruppert, Gilbert R. Upchurch, Tezcan Ozrazgat‐Baslanti, Parisa Rashidi +2 more

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup

Nature Reviews Nephrology(2023)10.1038/s41581-023-00744-7

N/A

0DataRank · unranked

45 citations

Linda Awdishu, Sean M. Bagshaw, Erin F. Barreto, Rolando Claure‐Del Granado, Barbara J. Evans +24 more

Fairness in the prediction of acute postoperative pain using machine learning models

Frontiers in Digital Health(2023)10.3389/fdgth.2022.970281

N/A

0DataRank · unranked

24 citations

Ruba Sajdeya, Ron Ison, Jennifer E. Hagen, Parisa Rashidi, Catherine C. Price +2 more

Predictive Modeling for Readmission to Intensive Care: A Systematic Review

Critical Care Explorations(2023)10.1097/cce.0000000000000848

N/A

0DataRank · unranked

23 citations

Tyler J. Loftus, Coulter Small, Han Li, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch +7 more

Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review

Frontiers in Cardiovascular Medicine(2023)10.3389/fcvm.2023.1127716

N/A

0DataRank · unranked

15 citations

Chen Bai, Amal Hashky, Alex M. Parker, Juan Vilaro, Juan M. Aranda +6 more

Building an automated, machine learning-enabled platform for predicting post-operative complications

Physiological Measurement(2023)10.1088/1361-6579/acb4db

N/A

0DataRank · unranked

7 citations

Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Patrick Tighe, Philip A. Efron +5 more

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records

PubMed(2023)10.1109/bhi58575.2023.10313445

N/A

0DataRank · unranked

6 citations

Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren +5 more

AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06252

N/A

0DataRank · unranked

4 citations

Ziyuan Guan, Scott D. Siegel, Jiaqing Zhang, Zhu, Ruilin, Kia Khezeli +3 more

Predicting risk of delirium from ambient noise and light information in the ICU

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06253

N/A

0DataRank · unranked

3 citations

Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella +6 more

FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groups

Research Square(2023)10.21203/rs.3.rs-3398970/v1

N/A

0DataRank · unranked

3 citations

Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon +3 more

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit

PubMed(2023)10.48550/arxiv.2303.05504

N/A

0DataRank · unranked

1 citations

Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel +5 more

Transformer Models for Acute Brain Dysfunction Prediction

arXiv (Cornell University)(2023)10.48550/arxiv.2303.07305

N/A

0DataRank · unranked

1 citations

Miguel Á. Contreras, Tezcan Ozrazgat Baslanti, Yuanfang Ren, Guan Ziyuan, Kia Khezeli +3 more

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data

PubMed(2023)10.1109/bibm58861.2023.10385764

N/A

0DataRank · unranked

1 citations

Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto +6 more

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06071

Top 100%

0DataRank

Top 100%0 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Research Square(2023)10.21203/rs.3.rs-3276414/v1

N/A

0DataRank · unranked

0 citations

Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Matthew M. Ruppert +6 more

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status

arXiv (Cornell University)(2023)10.48550/arxiv.2311.00565

N/A

0DataRank · unranked

0 citations

Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Ozrazgat Baslanti, Brooke A. Armfield +4 more

Transformers and large language models in healthcare: A review

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.102900

N/A

0DataRank · unranked

148 citations

Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Á. Contreras, Scott Siegel, Aysegül Bumin +7 more

Community-engaged artificial intelligence research: A scoping review

PLOS Digital Health(2024)10.1371/journal.pdig.0000561

N/A

0DataRank · unranked

21 citations

Jeremy A. Balch, Kenneth L. Abbott, Die Hu, Matthew M. Ruppert, Benjamin Shickel +9 more

Wearable sensors in patient acuity assessment in critical care

Frontiers in Neurology(2024)10.3389/fneur.2024.1386728

N/A

0DataRank · unranked

10 citations

Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Subhash Nerella +8 more

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Scientific Reports(2024)10.1038/s41598-024-59047-x

N/A

0DataRank · unranked

6 citations

Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Matthew M. Ruppert +6 more

Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias

Scientific Reports(2024)10.1038/s41598-024-68481-w

N/A

0DataRank · unranked

3 citations

Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon +3 more

Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery

Annals of Surgery Open(2024)10.1097/as9.0000000000000429

N/A

0DataRank · unranked

1 citations

Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Kenneth L. Abbott +12 more

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision

arXiv (Cornell University)(2024)10.48550/arxiv.2404.06723

N/A

0DataRank · unranked

2 citations

Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan +9 more

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

arXiv (Cornell University)(2024)10.48550/arxiv.2401.13588

N/A

0DataRank · unranked

1 citations

Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel +14 more

Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults

PubMed(2024)10.1145/3636534.3698118

N/A

0DataRank · unranked

1 citations

Sai Manoj Jalam, Havish Kodali, Subhash Nerella, Ruben Zapata, Nicole Gravina +5 more

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records

arXiv (Cornell University)(2024)10.48550/arxiv.2403.04012

N/A

0DataRank · unranked

0 citations

Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan +8 more

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility

arXiv (Cornell University)(2024)10.48550/arxiv.2403.06322

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Sabyasachi Bandyopadhyay, Subhash Nerella, Brandon Silva, Tezcan Ozrazgat Baslanti +3 more

Federated learning model for predicting major postoperative complications

arXiv (Cornell University)(2024)10.48550/arxiv.2404.06641

N/A

0DataRank · unranked

0 citations

Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma +6 more

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes

arXiv (Cornell University)(2024)10.48550/arxiv.2411.00840

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick Tighe, Catherine C. Price +2 more

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council

Anesthesiology(2025)10.1097/aln.0000000000005326

N/A

0DataRank · unranked

15 citations

Michael Burns, Richard H. Epstein, Ira Hofer, Patrick Tighe, J. Arias Delgado +6 more

Artificial intelligence and machine learning in cardiothoracic surgery: Future prospects and ethical issues

Journal of Thoracic and Cardiovascular Surgery(2025)10.1016/j.jtcvs.2025.04.029

N/A

0DataRank · unranked

3 citations

Arman Kilic, Adrienne Kline, Tom Liu, Patrick M. McCarthy, Douglas R. Johnston +2 more

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

Nature Communications(2025)10.1038/s41467-025-62121-1

N/A

0DataRank · unranked

1 citations

Brandon Silva, Benjamin Shickel, Andréa Davidson, Tezcan Ozrazgat‐Baslanti, Yuanfang Ren +12 more

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications

Proceedings of the AAAI Conference on Artificial Intelligence(2025)10.1609/aaai.v39i27.35073

N/A

0DataRank · unranked

4 citations

Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu +6 more

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR

Research Square(2025)10.21203/rs.3.rs-7216692/v1

N/A

0DataRank · unranked

7 citations

Sumit Kapoor, Jiaqing Zhang, Andrea Davidson, Yuanfang Ren, Ziyuan Guan +6 more

Reply: Underscoring the importance of surgical judgment

Journal of Thoracic and Cardiovascular Surgery(2025)10.1016/j.jtcvs.2025.09.016

N/A

0DataRank · unranked

0 citations

Parisa Rashidi, Arman Kilic, Robert M. Sade, Adrienne Kline

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

IEEE Access(2020)10.1109/access.2020.3037715

N/A

0DataRank · unranked

356 citations

Graziano Pravadelli, Azra Bihorac, Parisa Rashidi, Florenc Demrozi

Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes

Research Square(2025)10.21203/rs.3.rs-8000504/v1

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Ronald L. Ison, Bhanu Prasad Cherukuvada, David J. Libon, Patrick Tighe +3 more

Improving the Intensive Care Patient Experience With Virtual Reality—A Feasibility Study

Critical Care Explorations(2020)10.1097/cce.0000000000000122

N/A

0DataRank · unranked

81 citations

Matthew M. Ruppert, Maisha Akbar, Parisa Rashidi, Tezcan Ozrazgat‐Baslanti, Azra Bihorac +2 more

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery

Frontiers in Artificial Intelligence(2020)10.3389/frai.2019.00032

N/A

0DataRank · unranked

14 citations

Gilbert R. Upchurch, Daniel Delitto, Parisa Rashidi, Azra Bihorac, Tyler J. Loftus

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2020)10.12688/f1000research.25769.1

N/A

0DataRank · unranked

8 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more

Secondary care provider attitudes towards patient generated health data from smartwatches

npj Digital Medicine(2020)10.1038/s41746-020-0236-4

N/A

0DataRank · unranked

37 citations

Todd M. Manini, Megan C. Roberts, Naga S Prabhakar Kota, Tonatiuh Mendoza, Laurence M. Solberg +2 more

The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study

JMIR mhealth and uhealth(2020)10.2196/19609

N/A

0DataRank · unranked

29 citations

Subhash Nerella, Matin Kheirkhahan, Sanjay Ranka, Roger B. Fillingim, Yujie Hu +6 more

Parisa Rashidi

Indexed papers

Top data-sharing exemplar

Papers