Search Results for author: Michael Krauthammer

Found 7 papers, 5 papers with code

Progressive Transformer-Based Generation of Radiology Reports

1 code implementation Findings (EMNLP) 2021 Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer

Inspired by Curriculum Learning, we propose a consecutive (i. e., image-to-text-to-text) generation framework where we divide the problem of radiology report generation into two steps.

Text Generation

AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions

1 code implementation24 Dec 2020 Kyriakos Schwarz, Ahmed Allam, Nicolas Andres Perez Gonzalez, Michael Krauthammer

Background: Drug-drug interactions (DDIs) refer to processes triggered by the administration of two or more drugs leading to side effects beyond those observed when drugs are administered by themselves.

Patient Similarity Analysis with Longitudinal Health Data

no code implementations14 May 2020 Ahmed Allam, Matthias Dittberner, Anna Sintsova, Dominique Brodbeck, Michael Krauthammer

Healthcare professionals have long envisioned using the enormous processing powers of computers to discover new facts and medical knowledge locked inside electronic health records.

Decision Making

AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks

1 code implementation30 Dec 2019 Laura Kinkead, Ahmed Allam, Michael Krauthammer

Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional.

Misinformation

Neural networks versus Logistic regression for 30 days all-cause readmission prediction

1 code implementation22 Dec 2018 Ahmed Allam, Mate Nagy, George Thoma, Michael Krauthammer

Among the deep learning approaches, a recurrent neural network (RNN) combined with conditional random fields (CRF) model (RNNCRF) achieved the best performance in readmission prediction with 0. 642 AUC (95% CI, 0. 640-0. 645).

Management Readmission Prediction

Publishing without Publishers: a Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

1 code implementation11 Nov 2014 Tobias Kuhn, Christine Chichester, Michael Krauthammer, Michel Dumontier

Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publishing centered around printed narrative articles no longer seem well-suited in the digital age.

Digital Libraries

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