MIH@KDD

Publications

2017

Sivarama Krishnan Rajaraman, Sameer K. Antani, Stefan Jaeger
Visualizing Deep Learning Activations for Improved Malaria Cell Classification. MIH@KDD (2017)
Aditya Tiwari, Samah J. Fodeh, Steven J. Baccei, Max P. Rosen
Automatic Classification of Critical Findings in Radiology Reports. MIH@KDD (2017)
Alvaro Riascos, Natalia Serna
Predicting Annual Length-Of-Stay and its Impact on Health. MIH@KDD (2017)
Samah J. Fodeh, Joseph L. Goulet, Cynthia Brandt, Al-Talib Hamada
Leveraging Twitter to better identify suicide risk. MIH@KDD (2017)
Telma Pereira, Alexandre de Mendonça, Francisco L. Ferreira, Sara C. Madeira, Manuela Guerreiro
Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows. MIH@KDD (2017)
Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob D. Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD (2017)

volume 69, 2017

Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, MIH 2017, Halifax, Nova Scotia, Canada, August 14, 2017 MIH@KDD 69 (2017)