177 citations
- University of California San DiegoUS3 papers
- University of WashingtonUS3 papers
- Arizona State UniversityUS1 paper
- Auckland University of TechnologyNZ1 paper
- Australian Catholic UniversityAU1 paper
- Bangkok Metropolitan AdministrationTH1 paper
- Barcelona Institute for Global HealthES1 paper
- Bordeaux Population HealthFR1 paper
- California Medical Innovations InstituteUS1 paper
- Columbia UniversityUS1 paper
- Fleet Science CenterUS1 paper
- Ghent UniversityBE1 paper
6 papers
Open Data Sharing in Clinical Research and Participants Privacy: Challenges and Opportunities in the Era of Artificial Intelligence
Shahin Hallaj, Anna Heinke, Fritz Gerald P. Kalaw +16
Sharing clinical research data is key for increasing the pace of medical discoveries that improve human health. However, concern about study participants' privacy, confidentiality,…
Analysis of the 24-Hour Activity Cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought (ACT) Study
Yinxiang Wu, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman +7
The 24-hour activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach captures the interrelatedness of the daily time s…
Using Open Data and Open-Source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities
Geoff Boeing, Carl Higgs, Shiqin Liu +27
Benchmarking and monitoring urban design and transport features is critical to achieving local and international health and sustainability goals. However, most urban indicator fram…
Deep Discriminative Fine-Tuning for Cancer Type Classification
Alena Harley
Determining the primary site of origin for metastatic tumors is one of the open problems in cancer care because the efficacy of treatment often depends on the cancer tissue of orig…
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher +11
Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been re…
Sparse Probit Linear Mixed Model
Stephan Mandt, Florian Wenzel, Shinichi Nakajima +3
Linear Mixed Models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic traits that best predict a conti…