David P. vanMaanen

According to our database, David P. vanMaanen authored at least 4 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment.

Alvaro E. Ulloa Cerna, David P. vanMaanen, Linyuan Jing, Joshua V. Stough, Aalpen A. Patel, Christopher M. Haggerty, Brandon K. Fornwalt, Marios S. Pattichis

IEEE J. Biomed. Health Informatics, May, 2025

2019

Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data.

Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joshua Stough, Dustin N. Hartzel, Joseph B. Leader, H. Lester Kirchner, Christopher W. Good, Aalpen A. Patel, Brian P. Delisle, Amro Alsaid, Dominik Beer, Christopher M. Haggerty, Brandon K. Fornwalt

CoRR, 2019

Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records.

Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt

CoRR, 2019

2018

A deep neural network predicts survival after heart imaging better than cardiologists.

Alvaro Ulloa, Linyuan Jing, Christopher W. Good, David P. vanMaanen, Sushravya Raghunath, Jonathan D. Suever, Christopher D. Nevius, Gregory J. Wehner, Dustin N. Hartzel, Joseph B. Leader, Amro Alsaid, Aalpen A. Patel, H. Lester Kirchner, Christopher M. Haggerty, Brandon K. Fornwalt

CoRR, 2018