Shamim Nemati
University of California, San Diego
H-index: 33
North America-United States
Top articles of Shamim Nemati
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Local Validation of a Machine Learning Model for Mechanical Ventilation | J Lam SP Shashikumar S Nemati AK Pearce A Malhotra | 2024/5 | |
Impact of a deep learning sepsis prediction model on quality of care and survival | npj Digital Medicine | Aaron Boussina Supreeth P Shashikumar Atul Malhotra Robert L Owens Robert El-Kareh | 2024/1/23 |
A Time-frequency Deep Learning Approach for Classification of Transmembranous Electromyography Probe Recordings in Healthy Volunteers and Patients With Obstructive Sleep Apnea … | G Ghanbari C Studer S Nemati A Malhotra G Sheean | 2024/5 | |
Benchmarking changepoint detection algorithms on cardiac time series | arXiv preprint arXiv:2404.12408 | Ayse Cakmak Erik Reinertsen Shamim Nemati Gari D Clifford | 2024/4/16 |
Impact of a Deep Learning-based Sepsis Prediction Model on Quality of Care and Survival: A Causal Impact Analysis Using Before-and-After Observational Data | A Donahue J Weston A Rodriguez RR Maheshwary MMT Kyaw | 2024/5 | |
Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework | Scientific Reports | Sai Ashish Somayajula Onkar Litake Youwei Liang Ramtin Hosseini Shamim Nemati | 2024/1/2 |
Intravenous immunoglobulin resistance in Kawasaki disease patients: prediction using clinical data | Pediatric Research | Jonathan Y Lam Min-Seob Song Gi-Beom Kim Chisato Shimizu Emelia Bainto | 2023/2/16 |
Development of a Machine Learning Model to Predict Serum Creatinine in Critically Ill Adults | Biophysical chemistry | Gabriela Bitencourt-Ferreira Walter Filgueira de Azevedo | 2018/9/1 |
Ventilator Mode and Risk Factors for High Tidal Volume in Mechanically Ventilated ICU Patients | L Tran H Pour BB Kamdar S Nemati A Malhotra | 2024/5 | |
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data | Fatemeh Amrollahi Supreeth Prajwal Shashikumar Aaron Boussina Haben Yhdego Arshia Nayebnazar | 2023/7/24 | |
Tidal Volume and Volume Targeted Pressure Control in Acute Respiratory Distress Syndrome (ARDS) | AK Pearce L Barnes L Tran WC Mcguire H Pour | 2023/5 | |
Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling | Michael E Matheny Lucila Ohno-Machado Sharon E Davis Shamim Nemati | 2023/1/1 | |
Differentiation of Fungal, Viral, and Bacterial Sepsis using Multimodal Deep Learning | medRxiv | Aaron Boussina Karthik Ramesh Himanshu Arora Pratik Ratadiya Shamim Nemati | 2023/4/11 |
Unsupervised Detection and Correction of Model Calibration Shift at Test-Time | Supreeth P Shashikumar Fatemeh Amrollahi Shamim Nemati | 2023/7/24 | |
Making the Improbable Possible: Generalizing Models Designed for a Syndrome-Based, Heterogeneous Patient Landscape | Joshua Pei Le Supreeth Prajwal Shashikumar Atul Malhotra Shamim Nemati Gabriel Wardi | 2023/10/1 | |
Development & Deployment of a Real-time Healthcare Predictive Analytics Platform | Aaron Boussina Supreeth Shashikumar Fatemeh Amrollahi Hayden Pour Michael Hogarth | 2023/7/24 | |
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study | JMIR Perioperative Medicine | Eric Mlodzinski Gabriel Wardi Clare Viglione Shamim Nemati Laura Crotty Alexander | 2023/1/27 |
Creation and Validation of Novel Actionable Sepsis Phenotypes Using Clinical Data | G Wardi I Xu A Malhotra S Nemati A Boussina | 2023/5 | |
Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features | medRxiv | Haben H Yhdego Arshia Nayebnazar Fatemeh Amrollahi Aaron Boussina Supreeth Shashikumar | 2023/4/11 |
A Deep Learning Framework for Image-Based Screening of Kawasaki Disease | Jonathan Y Lam John T Kanegaye Ellen Xu Michael A Gardiner Jane C Burns | 2023/7/24 |
Co-Authors
