Search Results for author: Riccardo Miotto

Found 6 papers, 3 papers with code

Active learning for medical code assignment

no code implementations12 Apr 2021 Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando Paulovich, Evangelos Milios

Machine Learning (ML) is widely used to automatically extract meaningful information from Electronic Health Records (EHR) to support operational, clinical, and financial decision-making.

Active Learning Decision Making +2

Scaling structural learning with NO-BEARS to infer causal transcriptome networks

1 code implementation31 Oct 2019 Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley

Constructing gene regulatory networks is a critical step in revealing disease mechanisms from transcriptomic data.

Enhancing high-content imaging for studying microtubule networks at large-scale

1 code implementation1 Oct 2019 Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley

Such requirements are particularly challenging for high-throughput imaging, where researchers must make decisions related to the trade-off between imaging quality and speed.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

no code implementations15 Aug 2019 Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani

There is a notable use of relatively simple methods, such as shallow classifiers (or combination with rule-based methods), due to the interpretability of predictions, which still represents a significant issue for more complex methods.

Word Embeddings

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