activity
20172023
most citedLess Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

89 citations · 264 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.SI2019★ 1 cited

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States

Hansi Zhang, Christopher Wheldon, Adam G. Dunn +6

Objectives To test the feasibility of using Twitter data to assess determinants of consumers' health behavior towards Human papillomavirus (HPV) vaccination informed by the Integra…

stat.AP2019★ 7 cited

Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study

Qian Li, Zhe He, Yi Guo +5

Existing trials had not taken enough consideration of their population representativeness, which can lower the effectiveness when the treatment is applied in real-world clinical pr…

cs.CY2019★ 1 cited

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements

Rubina F. Rizvi, Yefeng Wang, Thao Nguyen +4

Despite the high consumption of dietary supplements (DS), there are not many reliable, relevant, and comprehensive online resources that could satisfy information seekers. The purp…

cs.CY2019★ 3 cited

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter

Francois Modave, Yunpeng Zhao, Janice Krieger +5

Among American women, the rate of breast cancer is only second to lung cancer. An estimated 12.4% women will develop breast cancer over the course of their lifetime. The widespread…

cs.LG2019★ 7 cited

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis +2

Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need mor…