- Citations, last 5 years
- 392
- Works, last 5 years
- 23
- h-index
- 78
- Scientists listed
- 3
- Grants since 2016
- 9
Grants received
2021–2022 · research · R43
Developing an Unbiased Machine Learning Tool for Prediction of Acute Coronary Syndrome
Qingqing Mao · Dascena (United States) · funded by National Institutes of Health
2020–2021 · grant · Standard Grant
SBIR Phase I Machine Learning for Screening Acute Respiratory Distress Syndrome in General and COVID-19 Patient Populations
Ritankar Das · Dascena (United States) · funded by National Science Foundation
2018–2020 · research · R43
Using clinical treatment data in a machine learning approach for sepsis detection
Ritankar Das · Dascena (United States) · funded by National Institutes of Health
2018–2020 · research · R43
Early Identification of Acute Kidney Injury Using Deep Recurrent Neural Nets, Presented with Probable Etiology
Ritankar Das · Dascena (United States) · funded by National Institutes of Health
2018–2020 · research · R43
Pediatric sepsis prediction: a machine learning solution for patient diversity
Ritankar Das · Dascena (United States) · funded by National Institutes of Health
2018–2022 · research · R44
Using Clinical Treatment Data in a Machine Learning Approach for Sepsis Detection
Jana Hoffman · Dascena (United States) · funded by National Institutes of Health
2018–2019 · research · R43
A computational approach to early sepsis detection
Ritankar Das · Dascena (United States) · funded by National Institutes of Health
2017–2018 · research · R43
Autonomous system supporting patient-specific transfer and discharge decisions
Ritankar Das · Dascena (United States) · funded by National Institutes of Health
2016–2017 · grant · Standard Grant
STTR Phase I: An integrated platform for the analysis of patient health record data to enable predictive clinical decision support
Ritankar Das · Dascena (United States) · funded by National Science Foundation