- Health Services Research & DevelopmentUS1 paper
- International Institute of Information Technology, HyderabadIN1 paper
- Mahatma Gandhi Institute of Technology1 paper
- San Francisco VA Medical CenterUS1 paper
- Tata Consultancy Services (India)IN1 paper
- University of California, San FranciscoUS1 paper
- University of San FranciscoUS1 paper
- University of UtahUS1 paper
2 papers
cond-mat.mtrl-sci2025
Composition based machine learning to predict phases & strength of refractory high entropy alloys
M. Sreenidhi Iyengar, M. K Anirudh, P. H. Anantha Desik +1
Refractory high-entropy alloys can function at temperatures exceeding those of nickel-based superalloys. Aluminum, as an alloying element, contributes multiple advantageous charact…
stat.AP2020
Mining Time-Stamped Electronic Health Records Using Referenced Sequences
Anne Woods, Craig Meyer, Brian Sauer +1
Electronic Health Records (EHRs) are typically stored as time-stamped encounter records. Observing temporal relationship between medical records is an integral part of interpreting…