activity
20152026
most citedDoctor AI: Predicting Clinical Events via Recurrent Neural Networks

253 citations · 626 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 31 cited

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Zifeng Wang, Zhenbang Wu, Dinesh Agarwal +1

Existing vision-text contrastive learning like CLIP aims to match the paired image and caption embeddings while pushing others apart, which improves representation transferability…

cs.CL2022★ 11 cited

PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning

Zifeng Wang, Jimeng Sun

Accessing longitudinal multimodal Electronic Healthcare Records (EHRs) is challenging due to privacy concerns, which hinders the use of ML for healthcare applications. Synthetic EH…

cs.LG2022★ 1 cited

Knowledge-Driven New Drug Recommendation

Zhenbang Wu, Huaxiu Yao, Zhe Su +5

Drug recommendation assists doctors in prescribing personalized medications to patients based on their health conditions. Existing drug recommendation solutions adopt the supervise…

q-bio.QM2022★ 10 cited

Artificial Intelligence for In Silico Clinical Trials: A Review

Zifeng Wang, Chufan Gao, Lucas M. Glass +1

A clinical trial is an essential step in drug development, which is often costly and time-consuming. In silico trials are clinical trials conducted digitally through simulation and…

cs.LG2022★ 2 cited

MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction

Junyi Gao, Chaoqi Yang, George Heintz +7

The COVID-19 pandemic has caused devastating economic and social disruption, straining the resources of healthcare institutions worldwide. This has led to a nationwide call for mod…

stat.ML2022★ 2 cited

Conformal Prediction Intervals with Temporal Dependence

Zhen Lin, Shubhendu Trivedi, Jimeng Sun

Cross-sectional prediction is common in many domains such as healthcare, including forecasting tasks using electronic health records, where different patients form a cross-section.…