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Ritankar Das
Dascena, Inc.
$1,632,844
Attributed
$1,632,844
Total exposure
5
Grants
5
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $1.3M · FY2017–18$2M$1.5M$1M$500K$0
'17
'18
Funding mix
By agency
NIH$1,632,844 · 5
By mechanism
R43$1,632,844 · 5
Top collaborators
No co-investigators on record.
Others in their field
Other Emerging Leaders on “Clinical Decision Support Systems”
- Christopher Barnaby Nelson · University Of Melbourne$27,318,053
- Leonard Freedman · Leidos Biomedical Research, Inc.$15,756,756
- Wendy Bergantz · University Of Chicago$13,233,874
- Drew Memmott · Dana-Farber Cancer Inst$12,471,251
- Thomas J Bell · National Disease Research Interchange$10,459,849
- Laurie Lucas · Four Points Technology, Llc$9,526,424
Research focus
Clinical Decision Support SystemsHourReceiver Operating CharacteristicsPerformanceData SetBaseSmall Business Innovation Research GrantAreaSuccessTrainingExperimental StudyMachine LearningFutureLearning StrategyInsightDetectionCessation Of LifeSepsisMortalityFatigueGoldEventElectronic Health RecordInpatients
Grant awards (5)
Early Identification of Acute Kidney Injury Using Deep Recurrent Neural Nets, Presented with Probable Etiology$349,320
R43 · FY2018 · AA · contact PI
Using clinical treatment data in a machine learning approach for sepsis detection$324,971
R43 · FY2018 · TR · contact PI
A computational approach to early sepsis detection$310,782
R43 · FY2018 · TR · contact PI
Pediatric sepsis prediction: a machine learning solution for patient diversity$299,999
R43 · FY2018 · HD · contact PI
Autonomous system supporting patient-specific transfer and discharge decisions$347,772
R43 · FY2017 · NR · contact PI