Synthetic data generation: State of the art in health care domain

H Murtaza, M Ahmed, NF Khan, G Murtaza… - Computer Science …, 2023 - Elsevier
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

[HTML][HTML] ChatGPT and artificial intelligence in medical writing: concerns and ethical considerations

AS Doyal, D Sender, M Nanda, RA Serrano - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) language generation models, such as ChatGPT, have the potential
to revolutionize the field of medical writing and other natural language processing (NLP) …

Review of time domain electronic medical record taxonomies in the application of machine learning

H Ali, IK Niazi, BK Russell, C Crofts, S Madanian… - Electronics, 2023 - mdpi.com
Electronic medical records (EMRs) help in identifying disease archetypes and progression.
A very important part of EMRs is the presence of time domain data because these help with …

Predictive fraud analysis applying the fraud triangle theory through data mining techniques

M Sánchez-Aguayo, L Urquiza-Aguiar… - Applied Sciences, 2022 - mdpi.com
Fraud is increasingly common, and so are the losses caused by this phenomenon. There is,
thus, an essential economic incentive to study this problem, particularly fraud prevention …

SentiGEN: Synthetic Data Generator for Sentiment Analysis

P Sundarreson… - Journal of Computing …, 2024 - dl.futuretechsci.org
Obtaining high-quality, diverse, accurate datasets for sentiment analysis has always been a
significant challenge. Traditional approaches include annotators, which may introduce bias …

Molecular joint representation learning via multi-modal information of smiles and graphs

T Wu, Y Tang, Q Sun, L Xiong - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, artificial intelligence has played an important role on accelerating the whole
process of drug discovery. Various of molecular representation schemes of different modals …

CodE Alltag 2.0—A pseudonymized German-language email corpus

E Eder, U Krieg-Holz, U Hahn - Proceedings of the Twelfth …, 2020 - aclanthology.org
The vast amount of social communication distributed over various electronic media channels
(tweets, blogs, emails, etc.), so-called user-generated content (UGC), creates entirely new …

SynSUM--Synthetic Benchmark with Structured and Unstructured Medical Records

P Rabaey, H Arno, S Heytens, T Demeester - arXiv preprint arXiv …, 2024 - arxiv.org
We present the SynSUM benchmark, a synthetic dataset linking unstructured clinical notes
to structured background variables. The dataset consists of 10,000 artificial patient records …

Making compassionate use more useful: using real-world data, real-world evidence and digital twins to supplement or supplant randomized controlled trials

D Greenbaum - Biocomputing 2021: proceedings of the pacific …, 2020 - World Scientific
The coronavirus pandemic has placed renewed focus on expanded access (EA) programs
to provide compassionate use exceptions to the waves of patients seeking medical care in …

[HTML][HTML] Harnessing Artificial Intelligence for Advancing Medical Manuscript Composition: Applications and Ethical Considerations

S Singh, R Kumar, V Maharshi, PK Singh, V Kumari… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Scientific medical manuscripts are fundamental to advancing research and enhancing
patient care. With the emergence of artificial intelligence (AI), the process of composing such …