Leveraging Twitter to better identify suicide risk

Samah Fodeh, Joseph Goulet, Cynthia Brandt, Al-Talib Hamada; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:1-7

[abs][Download PDF]

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files

Priya Deshpande, Alexander Rasin, Eli Brown, Jacob Furst, Daniela Raicu, Steven Montner, Samuel Armato III; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:10-18

[abs][Download PDF]

Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer’s Disease: stepwise learning using time windows

Telma Pereira, Alexandre Mendon\ca, Francisco Ferreira, Sara Madeira, Manuela Guerreiro; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:19-26

[abs][Download PDF]

Predicting Annual Length-Of-Stay and its Impact on Health

Alvaro Riascos, Natalia Serna; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:27-34

[abs][Download PDF]

Automatic Classification of Critical Findings in Radiology Reports

Aditya Tiwari, Samah Fodeh, Steven Baccei, Max Rosen; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:35-39

[abs][Download PDF]

Visualizing Deep Learning Activations for Improved Malaria Cell Classification

Rajaraman Sivaramakrishnan, Sameer Antani, Stefan Jaeger; Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, PMLR 69:40-47

[abs][Download PDF]