default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShamim Nemati
Person information
- affiliation: Emory University, Atlanta, GA, USA
Other persons with a similar name
SPARQL queries 
🛈 Please note that only 73% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j19]Vishal Nagarajan, Supreeth Prajwal Shashikumar
, Atul Malhotra, Shamim Nemati, Gabriel Wardi:
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction. J. Am. Medical Informatics Assoc. 31(11): 2679-2688 (2024)- [j18]Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi:
Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 7(1) (2024) - [j17]Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi:
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 7(1) (2024) - [c40]Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati:
Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. EMBC 2024: 1-4 - [c39]Yang Qiu, Anwesh Mohanty, Robert L. Owens, Shamim Nemati:
Development of a Voice-Enabled Automated Sleep Survey System. EMBC 2024: 1-4 - [i8]Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford:
Benchmarking changepoint detection algorithms on cardiac time series. CoRR abs/2404.12408 (2024) - [i7]Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati:
Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. CoRR abs/2407.15885 (2024) - 2023
- [j16]Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin:
Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. 55(2): 5:1-5:36 (2023) - [c38]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati:
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. EMBC 2023: 1-4 - [c37]Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati:
Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. EMBC 2023: 1-4 - [c36]Jonathan Y. Lam, John T. Kanegaye, Ellen Xu, Michael A. Gardiner, Jane C. Burns, Shamim Nemati, Adriana H. Tremoulet:
A Deep Learning Framework for Image-Based Screening of Kawasaki Disease. EMBC 2023: 1-4 - [c35]Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati:
Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. EMBC 2023: 1-4 - 2022
- [j15]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi:
Inclusion of social determinants of health improves sepsis readmission prediction models. J. Am. Medical Informatics Assoc. 29(7): 1263-1270 (2022) - [c34]Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh:
Identifying Diagnostic Opportunities Using Clinical Trajectories. AMIA 2022 - [c33]Jonathan Y. Lam, Andrew Richardson, Adriana H. Tremoulet, John Kanegaye, Chisato Shimizu, Nicole Stadnick, Jane C. Burns, Shamim Nemati, Michael A. Gardiner:
Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. AMIA 2022 - [c32]Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati:
A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. AMIA 2022 - 2021
- [j14]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. Artif. Intell. Medicine 113: 102036 (2021) - [j13]Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran:
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine 132: 104289 (2021) - [j12]Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati:
Artificial intelligence sepsis prediction algorithm learns to say "I don't know". npj Digit. Medicine 4 (2021) - [j11]Zifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford:
Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions. IEEE Trans. Biomed. Eng. 68(2): 664-672 (2021) - [i6]Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford:
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR abs/2101.12099 (2021) - 2020
- [j10]Sahar Harati, Andrea Crowell, Yijian Huang, Helen S. Mayberg, Shamim Nemati:
Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features. IEEE J. Biomed. Health Informatics 24(3): 815-824 (2020) - [c31]Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati:
Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. AMIA 2020 - [c30]Sally L. Baxter, Adam R. Klie, Bharanidharan Radha Saseendrakumar, Gordon Y. Ye, Michael A. Hogarth, Shamim Nemati:
Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data. EMBC 2020: 5459-5463 - [c29]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati:
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. EMBC 2020: 5610-5614 - [c28]Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati:
Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal DifferenceLearning. PSB 2020: 43-54
2010 – 2019
- 2019
- [c27]Azade Tabaie, Shamim Nemati, Jason Allen, Charlotte Chung, Flavia Queiroga, Won-Jun Kuk, Adam Prater:
Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients. AMIA 2019 - [c26]Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford:
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC 2019: 1-4 - [i5]Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati:
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? CoRR abs/1902.03271 (2019) - [i4]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. CoRR abs/1908.04759 (2019) - [i3]Chao Yu, Jiming Liu, Shamim Nemati:
Reinforcement Learning in Healthcare: A Survey. CoRR abs/1908.08796 (2019) - 2018
- [j9]Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati:
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. IEEE J. Biomed. Health Informatics 22(1): 56-66 (2018) - [c25]Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati:
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops 2018: 435-442 - [c24]Sapoonjyoti Duttaduwarah, Ganesh R. Iyer, Shamim Nemati, Ashish Sharma:
DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. AMIA 2018 - [c23]Azade Tabaie, Falgun H. Chokshi, Andre L. Holder, Shamim Nemati:
Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments. EMBC 2018: 3256-3259 - [c22]Mohammad M. Ghassemi, Tuka Al Hanai, Jesse Daniel Raffa, Roger G. Mark, Shamim Nemati, Falgun H. Chokshi:
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. EMBC 2018: 4058-4064 - [c21]Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati:
A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. EMBC 2018: 4093-4096 - [c20]Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati:
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC 2018: 4927-4931 - [c19]Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati:
Depression Severity Classification from Speech Emotion. EMBC 2018: 5763-5766 - [c18]Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. KDD 2018: 715-723 - [i2]Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1805.09133 (2018) - 2017
- [j8]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. 29(1): 157-171 (2017) - [c17]Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati:
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI 2017: 141-144 - [c16]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE 2017: 37-38 - [c15]Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn:
The Training of Next Generation Data Scientists in Biomedicine. PSB 2017: 640-645 - 2016
- [j7]Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford:
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104(2): 444-466 (2016) - [c14]Sahar Harati, Andrea Crowell, Helen S. Mayberg, Jun Kong, Shamim Nemati:
Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression. EMBC 2016: 2254-2257 - [c13]Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford:
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC 2016: 2978-2981 - [c12]Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford:
Monitoring and detecting atrial fibrillation using wearable technology. EMBC 2016: 3394-3397 - [i1]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR abs/1602.05112 (2016) - 2015
- [j6]Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford:
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. 62(9): 2125-2134 (2015) - [j5]Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati:
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE J. Biomed. Health Informatics 19(3): 1068-1076 (2015) - [c11]Mohammad Mahdi Ghassemi, Roger G. Mark, Shamim Nemati:
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. CinC 2015: 629-632 - [c10]Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark:
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. CinC 2015: 1065-1068 - [c9]Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati:
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC 2015: 1069-1072 - 2014
- [c8]Shamim Nemati, Mohammad M. Ghassemi:
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. IEEE BigData 2014: 41-44 - [c7]Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati:
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC 2014: 993-996 - [c6]Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark:
Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. CinC 2014: 1141-1144 - 2013
- [b1]Shamim Nemati:
Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems. Massachusetts Institute of Technology, Cambridge, MA, USA, 2013 - [c5]Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark:
Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. EMBC 2013: 7072-7075 - [c4]Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams:
Learning outcome-discriminative dynamics in multivariate physiological cohort time series. EMBC 2013: 7104-7107 - 2012
- [c3]Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark:
Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. EMBC 2012: 5939-5942 - [c2]Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra:
Discovering shared cardiovascular dynamics within a patient cohort. EMBC 2012: 6526-6529 - 2011
- [j4]Shamim Nemati, Omar Abdala, Violeta Monasterio, Susie Yim-Yeh, Atul Malhotra, Gari D. Clifford:
A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection. IEEE Trans. Biomed. Eng. 58(5): 1356-1364 (2011) - 2010
- [j3]Shamim Nemati, Atul Malhotra, Gari D. Clifford:
Data Fusion for Improved Respiration Rate Estimation. EURASIP J. Adv. Signal Process. 2010 (2010)
2000 – 2009
- 2009
- [j2]Mark B. Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang, Yan Zhai:
A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications. IEEE Trans. Instrum. Meas. 58(1): 221-228 (2009) - 2007
- [j1]Mark Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang:
Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach. IEEE Geosci. Remote. Sens. Lett. 4(3): 335-339 (2007) - 2006
- [c1]Yan Zhai, Mark B. Yeary, Jean-Charles Noyer, Joseph P. Havlicek, Shamim Nemati, Patrick Lanvin:
Visual Target Tracking using Improved and Computationally Efficient Particle Filtering. ICIP 2006: 1757-1760
Coauthor Index
Mohammad M. Ghassemi
aka: Mohammad Mahdi Ghassemi
aka: Mohammad Mahdi Ghassemi
Supreeth P. Shashikumar
aka: Supreeth Prajwal Shashikumar
aka: Supreeth Prajwal Shashikumar
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:06 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
