Big data analytics in medical engineering and healthcare: methods, advances and challenges
L Wang, CA Alexander - Journal of medical engineering & …, 2020 - Taylor & Francis
Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …
Stakeholders are finding big data analytics reduce medical costs and personalise medical …
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset
M Qorib, T Oladunni, M Denis, E Ososanya… - Expert Systems with …, 2023 - Elsevier
In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many
scientists believe that the pandemic originated from Wuhan, China, before spreading to …
scientists believe that the pandemic originated from Wuhan, China, before spreading to …
BioSentVec: creating sentence embeddings for biomedical texts
Sentence embeddings have become an essential part of today's natural language
processing (NLP) systems, especially together advanced deep learning methods. Although …
processing (NLP) systems, especially together advanced deep learning methods. Although …
Progress on artificial neural networks for big data analytics: a survey
Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought
the world into the era of “big data.” Artificial neural networks (ANNs) are known for their …
the world into the era of “big data.” Artificial neural networks (ANNs) are known for their …
A reproducible experimental survey on biomedical sentence similarity: A string-based method sets the state of the art
This registered report introduces the largest, and for the first time, reproducible experimental
survey on biomedical sentence similarity with the following aims:(1) to elucidate the state of …
survey on biomedical sentence similarity with the following aims:(1) to elucidate the state of …
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Background Capturing sentence semantics plays a vital role in a range of text mining
applications. Despite continuous efforts on the development of related datasets and models …
applications. Despite continuous efforts on the development of related datasets and models …
Performance evaluation of data-driven intelligent algorithms for big data ecosystem
Artificial intelligence, specifically machine learning, has been applied in a variety of methods
by the research group to transform several data sources into valuable facts and …
by the research group to transform several data sources into valuable facts and …
Ontology learning based on word embeddings for text big data extraction
Big Data term describes data that exists everywhere in humongous volumes, raw forms, and
heterogenous types. Unstructured and uncategorized data forms 95% of big data. Text big …
heterogenous types. Unstructured and uncategorized data forms 95% of big data. Text big …
Protocol for a reproducible experimental survey on biomedical sentence similarity
Measuring semantic similarity between sentences is a significant task in the fields of Natural
Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this …
Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this …
Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets
BM Knisely, Q Hatim, M Vaughn-Cooke - Pharmaceutical Medicine, 2022 - Springer
Abstract Background The US Food and Drug Administration (FDA) collects and retains
several data sets on post-market drugs and associated adverse events (AEs). The FDA …
several data sets on post-market drugs and associated adverse events (AEs). The FDA …