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05/11/2022
Clinical Prompt Learning with Frozen Language Models
Prompt learning is a new paradigm in the Natural Language Processing (NL...
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11/15/2021
Rationale production to support clinical decision-making
The development of neural networks for clinical artificial intelligence ...
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10/23/2020
Population Gradients improve performance across data-sets and architectures in object classification
The most successful methods such as ReLU transfer functions, batch norma...
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10/16/2020
An efficient representation of chronological events in medical texts
In this work we addressed the problem of capturing sequential informatio...
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03/03/2020
Med7: a transferable clinical natural language processing model for electronic health records
The field of clinical natural language processing has been advanced sign...
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08/29/2019
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture
Understanding the morphological changes of primary neuronal cells induce...
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01/06/2019
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks
Neural networks (NNs) have become the state of the art in many machine l...
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11/13/2018
Few-shot Learning for Named Entity Recognition in Medical Text
Deep neural network models have recently achieved state-of-the-art perfo...
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08/03/2017
Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model
Recurrent major mood episodes and subsyndromal mood instability cause su...
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03/11/2016
