[HTML][HTML] Few-shot learning for medical text: A review of advances, trends, and opportunities
Background: Few-shot learning (FSL) is a class of machine learning methods that require
small numbers of labeled instances for training. With many medical topics having limited …
small numbers of labeled instances for training. With many medical topics having limited …
Event detection in online social network: Methodologies, state-of-art, and evolution
Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …
the go-to medium for users to acquire information and discuss what is happening globally …
Communication-efficient federated learning via knowledge distillation
Federated learning is a privacy-preserving machine learning technique to train intelligent
models from decentralized data, which enables exploiting private data by communicating …
models from decentralized data, which enables exploiting private data by communicating …
No one left behind: Inclusive federated learning over heterogeneous devices
Federated learning (FL) is an important paradigm for training global models from
decentralized data in a privacy-preserving way. Existing FL methods usually assume the …
decentralized data in a privacy-preserving way. Existing FL methods usually assume the …
Transformers in healthcare: A survey
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
[HTML][HTML] Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: comparative geolocation and text mining analysis
Background In recent years, the COVID-19 pandemic has brought great changes to public
health, society, and the economy. Social media provide a platform for people to discuss …
health, society, and the economy. Social media provide a platform for people to discuss …
[HTML][HTML] Assessing the performance of clinical natural language processing systems: development of an evaluation methodology
L Canales, S Menke, S Marchesseau… - JMIR Medical …, 2021 - medinform.jmir.org
Background: Clinical natural language processing (cNLP) systems are of crucial importance
due to their increasing capability in extracting clinically important information from free text …
due to their increasing capability in extracting clinically important information from free text …
Artificial intelligence: revolutionizing cardiology with large language models
Natural language processing techniques are having an increasing impact on clinical care
from patient, clinician, administrator, and research perspective. Among others are automated …
from patient, clinician, administrator, and research perspective. Among others are automated …
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
Objective Research on pharmacovigilance from social media data has focused on mining
adverse drug events (ADEs) using annotated datasets, with publications generally focusing …
adverse drug events (ADEs) using annotated datasets, with publications generally focusing …
Mining social media data for biomedical signals and health-related behavior
Social media data have been increasingly used to study biomedical and health-related
phenomena. From cohort-level discussions of a condition to population-level analyses of …
phenomena. From cohort-level discussions of a condition to population-level analyses of …