3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking
Sayeri Lala, Niraj K. Jha
Clinical randomized controlled trials (RCTs) collect hundreds of measurements spanning various metric types (e.g., laboratory tests, cognitive/motor assessments, etc.) across 100s-…
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang, Sayeri Lala, Niraj K. Jha
Deep neural networks exhibit remarkable performance, yet their black-box nature limits their utility in fields like healthcare where interpretability is crucial. Existing explainab…
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
Sayeri Lala, Hanlin Goh, Christopher Sandino
Sleep staging is a clinically important task for diagnosing various sleep disorders, but remains challenging to deploy at scale because it because it is both labor-intensive and ti…
TAD-SIE: Sample Size Estimation for Clinical Randomized Controlled Trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator
Sayeri Lala, Niraj K. Jha
Phase-3 clinical trials provide the highest level of evidence on drug safety and effectiveness needed for market approval by implementing large randomized controlled trials (RCTs).…