David S. Melnick

According to our database, David S. Melnick authored at least 3 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.

Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David S. Melnick, Gregory S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

CoRR, 2020

2019

Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation.

Ethan M. I. Johnson, Jingzhi Yu, Yu Deng, David S. Melnick, Sukhveer S. Sandhu, Farhad Ghamsari, Mozziyar Etemadi, Abel N. Kho

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Effects Upon Postoperative Atrial Fibrillation Prediction of Varied Observation Time Windows.

Yu Deng, Kevin Yu, Ethan M. I. Johnson, David S. Melnick, Sukhveer S. Sandhu, Mozziyar Etemadi, Abel N. Kho

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019