Supreeth P. Shashikumar

1.9k citations

40 papers · 1.2k indexed · 1 hit paper · h-index 16

Health Informatics top 1%
Family Practice top 2%
- Clinical Reasoning and Diagnostic Skills 10
Health Information Management top 2%
Artificial Intelligence top 2%
- Machine Learning in Healthcare 24
Epidemiology top 5%
- Sepsis Diagnosis and Treatment 27
Cardiology and Cardiovascular Medicine
- ECG Monitoring and Analysis 5
- Atrial Fibrillation Management and Outcomes 3
- Heart Failure Treatment and Management 3
Signal Processing
- Time Series Analysis and Forecasting 4
Cognitive Neuroscience
- EEG and Brain-Computer Interfaces 3

Co-authors: Shamim Nemati Gari D. Clifford Ashish Sharma Gabriel Wardi Matthew A. Reyna Amit Shah Christopher S. Josef Andre L. Holder
Cited by: Health Informatics Family Practice Health Information Management
Partner nations: United States United Kingdom China

In The Last Decade

Supreeth P. Shashikumar

37 papers receiving 1.1k citations

Hit Papers

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Peers

Countries citing papers authored by Supreeth P. Shashikumar

Since Specialization

Citations

This map shows the geographic impact of Supreeth P. Shashikumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Supreeth P. Shashikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supreeth P. Shashikumar more than expected).

Fields of papers citing papers by Supreeth P. Shashikumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supreeth P. Shashikumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Supreeth P. Shashikumar. The network helps show where Supreeth P. Shashikumar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Supreeth P. Shashikumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Supreeth P. Shashikumar Line = papers co-authored together Supreeth P. Shashikumar links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Development and prospective implementation of a large language model based system for early sepsis prediction Supreeth P. Shashikumar,Sina Mohammadi,Rishivardhan Krishnamoorthy,Avi Patel,Gabriel Wardi,Joseph Ahn,Karandeep Singh,Eliah Aronoff-Spencer,Shamim Nemati	2025	8
2	Prediction of Readmission Following Sepsis Using Social Determinants of Health Fatemeh Amrollahi,Brent Kennis,Supreeth P. Shashikumar,Atul Malhotra,Stephanie Parks Taylor,James Ford,Arianna Rodriguez,J. Weston,R.R. Maheshwary,Shamim Nemati,Gabriel Wardi,Angela Meier	2024	4
3	The impact of laboratory data missingness on sepsis diagnosis timeliness Jonathan Y. Lam,Aaron Boussina,Supreeth P. Shashikumar,Robert L. Owens,Shamim Nemati,Christopher S. Josef	2024	1
4	Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction Vishal Nagarajan,Supreeth P. Shashikumar,Atul Malhotra,Shamim Nemati,Gabriel Wardi	2024	0
5	Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients Jonathan Y. Lam,Xiaolei Lu,Supreeth P. Shashikumar,Ye Sel Lee,Michael Miller,Hayden Pour,Aaron Boussina,Alex K. Pearce,Atul Malhotra,Shamim Nemati	2024	0
6	A Prospective Comparison of Large Language Models for Early Prediction of Sepsis Supreeth P. Shashikumar,Shamim Nemati	2024	2
7	Improving Prediction of Need for Mechanical Ventilation using Cross-Attention Anwesh Mohanty,Supreeth P. Shashikumar,Jonathan Y. Lam,Shamim Nemati	2024	0
8	Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients Ghodsieh Ghanbari,Jonathan Y. Lam,Supreeth P. Shashikumar,Linda Awdishu,Karandeep Singh,Atul Malhotra,Shamim Nemati,Zaid Yousif	2024	1
9	Development & Deployment of a Real-time Healthcare Predictive Analytics Platform Aaron Boussina,Supreeth P. Shashikumar,Fatemeh Amrollahi,Hayden Pour,Michael Hogarth,Shamim Nemati	2023	3
10	Leveraging clinical data across healthcare institutions for continual learning of predictive risk models Fatemeh Amrollahi,Supreeth P. Shashikumar,Andre L. Holder,Shamim Nemati	2022	26
11	Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm Gabriel Wardi,Morgan Carlile,Andre L. Holder,Supreeth P. Shashikumar,Stephen R. Hayden,Shamim Nemati	2021	62
12	DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis Supreeth P. Shashikumar,Christopher S. Josef,Ashish Sharma,Shamim Nemati	2021	56
13	AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production Fatemeh Amrollahi,Supreeth P. Shashikumar,Pradeeban Kathiravelu,Ashish Sharma,Shamim Nemati	2020	8
14	Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019 Matthew A. Reyna,Chris Josef,Salman Seyedi,Russell Jeter,Supreeth P. Shashikumar,M. Brandon Westover,Ashish Sharma,Shamim Nemati,Gari D. Clifford	2019	31
15	Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019 Matthew A. Reyna,Supreeth P. Shashikumar,Benjamin Moody,Ping Gu,Ashish Sharma,Shamim Nemati,Gari D. Clifford	2019	105
16	Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network Qichen Li,Chengyu Liu,Qiao Li,Supreeth P. Shashikumar,Shamim Nemati,Zichao Shen,Gari D. Clifford	2019	29
17	DeepAISE on FHIR — An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis Vidyashankar Lakshman,Fatemeh Amrollahi,Veera Supraja Koppisetty,Supreeth P. Shashikumar,Ashish Sharma,Shamim Nemati	2018	1
18	Multiscale network dynamics between heart rate and locomotor activity are altered in schizophrenia Erik Reinertsen,Supreeth P. Shashikumar,Amit Shah,Shamim Nemati,Gari D. Clifford	2018	11
19	Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics Supreeth P. Shashikumar,Matthew D. Stanley,Ismail Sadiq,Qiao Li,Andre L. Holder,Gari D. Clifford,Shamim Nemati	2017	110
20	Multiscale network representation of physiological time series for early prediction of sepsis Supreeth P. Shashikumar,Qiao Li,Gari D. Clifford,Shamim Nemati	2017	37

About Supreeth P. Shashikumar

Supreeth P. Shashikumar is a scholar working on Family Practice, Epidemiology and Artificial Intelligence, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (27 papers), Machine Learning in Healthcare (24 papers), Clinical Reasoning and Diagnostic Skills (10 papers), ECG Monitoring and Analysis (5 papers), Time Series Analysis and Forecasting (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Health Informatics (90 citations), Family Practice (119 citations) and Health Information Management (92 citations). Supreeth P. Shashikumar has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Shamim Nemati, Gari D. Clifford, Ashish Sharma, Gabriel Wardi, Matthew A. Reyna, Amit Shah, Christopher S. Josef, Andre L. Holder, M. Brandon Westover and Russell Jeter.

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