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Neural natural language processing for unstructured data in electronic health records: a review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Deep learning (DL) models for natural language processing (NLP) tasks often handle
private data, demanding protection against breaches and disclosures. Data protection laws …
private data, demanding protection against breaches and disclosures. Data protection laws …
Large language models can be strong differentially private learners
Differentially Private (DP) learning has seen limited success for building large deep learning
models of text, and straightforward attempts at applying Differentially Private Stochastic …
models of text, and straightforward attempts at applying Differentially Private Stochastic …
[หนังสือ][B] Synthetic data for deep learning
SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
Selective differential privacy for language modeling
With the increasing applications of language models, it has become crucial to protect these
models from leaking private information. Previous work has attempted to tackle this …
models from leaking private information. Previous work has attempted to tackle this …
Knowledge graph and deep learning-based text-to-GraphQL model for intelligent medical consultation chatbot
Abstract Text-to-GraphQL (Text2GraphQL) is a task that converts the user's questions into
Graph+ QL (Query Language) when a graph database is given. That is a task of semantic …
Graph+ QL (Query Language) when a graph database is given. That is a task of semantic …
Exploring transformer text generation for medical dataset augmentation
Abstract Natural Language Processing (NLP) can help unlock the vast troves of unstructured
data in clinical text and thus improve healthcare research. However, a big barrier to …
data in clinical text and thus improve healthcare research. However, a big barrier to …
Publicly shareable clinical large language model built on synthetic clinical notes
The development of large language models tailored for handling patients' clinical notes is
often hindered by the limited accessibility and usability of these notes due to strict privacy …
often hindered by the limited accessibility and usability of these notes due to strict privacy …
Lightweight transformers for clinical natural language processing
Specialised pre-trained language models are becoming more frequent in Natural language
Processing (NLP) since they can potentially outperform models trained on generic texts …
Processing (NLP) since they can potentially outperform models trained on generic texts …
[HTML][HTML] Generating synthetic training data for supervised de-identification of electronic health records
A major hurdle in the development of natural language processing (NLP) methods for
Electronic Health Records (EHRs) is the lack of large, annotated datasets. Privacy concerns …
Electronic Health Records (EHRs) is the lack of large, annotated datasets. Privacy concerns …