Adverse drug event detection using natural language processing: A scoping review of supervised learning methods
To reduce adverse drug events (ADEs), hospitals need a system to support them in
monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing …
monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing …
[HTML][HTML] Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review
Background An early warning tool to predict attacks could enhance asthma management
and reduce the likelihood of serious consequences. Electronic health records (EHRs) …
and reduce the likelihood of serious consequences. Electronic health records (EHRs) …
Handling Class Imbalance in Machine Learning-based Prediction Models: A Case Study in Asthma Management
A Budiarto, A Sheikh, A Wilson… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
A data-driven prediction tool has the potential to provide early warning of an asthma attack
and improve asthma management and outcomes. Most previous machine learning (ML) …
and improve asthma management and outcomes. Most previous machine learning (ML) …
A State-of-the-Art AF-HIDOP: A Model for Daily Covid-19 Infectious Disease Outbreak Spread Risk Prediction
MBM Fayad, M Youseffi, JP Li… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The pandemic produced by the COVID-19 virus has resulted in an estimated 6.4 million
deaths worldwide and a rise in unemployment rates, notably in the UK. Healthcare …
deaths worldwide and a rise in unemployment rates, notably in the UK. Healthcare …
Analysis of Dataset balancing Techniques for Phishing Dataset
S Patil, NM Shekokar - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
One of the major aspects that affects the performance of a machine learning based algorithm
is the dataset. A huge dataset is not the only parameter that will improve the performance of …
is the dataset. A huge dataset is not the only parameter that will improve the performance of …
A State-of-the-Art Artificial intelligence model for Infectious Disease Outbreak Prediction. Infectious disease outbreak have been predicted in England and Wales using …
M Fayad - 2023 - bradscholars.brad.ac.uk
The pandemic produced by the COVID-19 virus has resulted in an estimated 6.4 million
deaths worldwide and a rise in unemployment rates, notably in the UK. Healthcare …
deaths worldwide and a rise in unemployment rates, notably in the UK. Healthcare …
Performance Analysis Of Attention Based Deep Learning Models On Named Entity Recognition In Electronic Health Records
TA Quddoos - 2023 - digitalcommons.pvamu.edu
Abstract Mining Clinical Notes for relevant information has attracted a lot of interest in
Natural Language Processing (NLP). Medical documents contain language whose …
Natural Language Processing (NLP). Medical documents contain language whose …