research
∙
08/17/2023
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
LLMs usually exhibit limitations in their ability to incorporate new kno...
share
research
∙
07/27/2023
Matching Patients to Clinical Trials with Large Language Models
Clinical trials are vital in advancing drug development and evidence-bas...
research
∙
07/19/2023
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network
Clinical trials are critical for drug development but often suffer from ...
research
∙
06/06/2023
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Drug development is a complex process that aims to test the efficacy and...
research
∙
05/30/2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
Despite many efforts to address the disparities, the underrepresentation...
research
∙
05/30/2023
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Large language models (LLMs) specializing in natural language generation...
research
∙
05/24/2023
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
The mission of open knowledge graph (KG) completion is to draw new findi...
research
∙
05/22/2023
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs
Clinical predictive models often rely on patients electronic health reco...
research
∙
05/20/2023
AnyPredict: Foundation Model for Tabular Prediction
Foundation models are pre-trained on massive data to perform well across...
research
∙
05/19/2023
AutoTrial: Prompting Language Models for Clinical Trial Design
Clinical trials are critical for drug development. Constructing the appr...
research
∙
04/07/2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
Clinical trials are essential to drug development but time-consuming, co...
research
∙
04/04/2023
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model
Synthetic electronic health records (EHRs) that are both realistic and p...
research
∙
02/02/2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Many real-world multi-label prediction problems involve set-valued predi...
research
∙
01/21/2023
ManyDG: Many-domain Generalization for Healthcare Applications
The vast amount of health data has been continuously collected for each ...
research
∙
11/28/2022
Reinforced Genetic Algorithm for Structure-based Drug Design
Structure-based drug design (SBDD) aims to discover drug candidates by f...
research
∙
10/18/2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Existing vision-text contrastive learning like CLIP aims to match the pa...
research
∙
10/11/2022
Knowledge-Driven New Drug Recommendation
Drug recommendation assists doctors in prescribing personalized medicati...
research
∙
09/16/2022
Artificial Intelligence for In Silico Clinical Trials: A Review
A clinical trial is an essential step in drug development, which is ofte...
research
∙
07/25/2022
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction
The COVID-19 pandemic has caused devastating economic and social disrupt...
research
∙
06/29/2022
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
Clinical trials are essential for drug development but are extremely exp...
research
∙
06/22/2022
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Molecular optimization is a fundamental goal in the chemical sciences an...
research
∙
05/25/2022
Conformal Prediction Intervals with Temporal Dependence
Cross-sectional prediction is common in many domains such as healthcare,...
research
∙
05/20/2022
Conformal Prediction with Temporal Quantile Adjustments
We develop Temporal Quantile Adjustment (TQA), a general method to const...
research
∙
05/19/2022
TransTab: Learning Transferable Tabular Transformers Across Tables
Tabular data (or tables) are the most widely used data format in machine...
research
∙
05/08/2022
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion
Low-rank tensor factorization or completion is well-studied and applied ...
research
∙
04/13/2022
Clinical trial site matching with improved diversity using fair policy learning
The ongoing pandemic has highlighted the importance of reliable and effi...
research
∙
03/28/2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Molecule design is a fundamental problem in molecular science and has cr...
research
∙
03/09/2022
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It
Many fundamental problems affecting the care of critically ill patients ...
research
∙
03/04/2022
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
Given a deep learning model trained on data from a source site, how to d...
research
∙
02/15/2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Deep neural network (DNN) classifiers are often overconfident, producing...
research
∙
01/31/2022
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
Tensor completion aims at imputing missing entries from a partially obse...
research
∙
10/27/2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Objective: In this paper, we aim to learn robust vector representations ...
research
∙
10/02/2021
SurvTRACE: Transformers for Survival Analysis with Competing Events
In medicine, survival analysis studies the time duration to events of in...
research
∙
09/29/2021
PAC-Bayes Information Bottleneck
Information bottleneck (IB) depicts a trade-off between the accuracy and...
research
∙
09/22/2021
Differentiable Scaffolding Tree for Molecular Optimization
The structural design of functional molecules, also called molecular opt...
research
∙
06/15/2021
Augmented Tensor Decomposition with Stochastic Optimization
Tensor decompositions are powerful tools for dimensionality reduction an...
research
∙
06/14/2021
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
Existing tensor completion formulation mostly relies on partial observat...
research
∙
06/01/2021
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models
Crucial for building trust in deep learning models for critical real-wor...
research
∙
05/11/2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Real-world spatio-temporal data is often incomplete or inaccurate due to...
research
∙
05/05/2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Deep learning is revolutionizing predictive healthcare, including recomm...
research
∙
05/05/2021
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations
Medication recommendation is an essential task of AI for healthcare. Exi...
research
∙
05/03/2021
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Thanks to the increasing availability of genomics and other biomedical d...
research
∙
03/05/2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Despite deep learning (DL) success in classification problems, DL classi...
research
∙
02/08/2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
Clinical trials are crucial for drug development but are time consuming,...
research
∙
12/18/2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Researchers require timely access to real-world longitudinal electronic ...
research
∙
12/08/2020
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Accurate prediction of the transmission of epidemic diseases such as COV...
research
∙
10/30/2020
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
To test the possibility of differentiating chest x-ray images of COVID-1...
research
∙
10/28/2020
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Counterfactual prediction is about predicting outcome of the unobserved ...
research
∙
10/22/2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Successful health risk prediction demands accuracy and reliability of th...
research
∙
10/08/2020
