Neural natural language processing for unstructured data in electronic health records: a review

I Li, J Pan, J Goldwasser, N Verma, WP Wong… - Computer Science …, 2022 - Elsevier
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

A systematic review on Deep Learning approaches for IoT security

L Aversano, ML Bernardi, M Cimitile, R Pecori - Computer Science Review, 2021 - Elsevier
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

[HTML][HTML] A systematic review on artificial intelligence techniques for detecting thyroid diseases

L Aversano, ML Bernardi, M Cimitile, A Maiellaro… - PeerJ Computer …, 2023 - peerj.com
The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

Deep learning for mining protein data

Q Shi, W Chen, S Huang, Y Wang… - Briefings in …, 2021 - academic.oup.com
The recent emergence of deep learning to characterize complex patterns of protein big data
reveals its potential to address the classic challenges in the field of protein data mining …

Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data

DK Nguyen, CL Chan, AHA Li… - Health Informatics …, 2022 - journals.sagepub.com
In the modern world, with so much inherent stress, mental health disorders (MHDs) are
becoming more common in every country around the globe, causing a significant burden on …

Explainable Stacked Ensemble Deep Learning (SEDL) Framework to Determine Cause of Death from Verbal Autopsies

MT Mapundu, CW Kabudula, E Musenge… - Machine Learning and …, 2023 - mdpi.com
Verbal autopsies (VA) are commonly used in Low-and Medium-Income Countries (LMIC) to
determine cause of death (CoD) where death occurs outside clinical settings, with the most …

Early detection of Parkinson disease using deep neural networks on gait dynamics

L Aversano, ML Bernardi, M Cimitile… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Parkinson's disease is a degenerative movement disorder causing considerable disability.
However, the early detection of this syndrome and of its progression rates may be decisive …

Recurrent generative adversarial networks for unsupervised WCE video summarization

L Lan, C Ye - Knowledge-Based Systems, 2021 - Elsevier
Wireless capsule endoscopy (WCE) produces amounts of redundant images in one
examination, which is very laborious and time-consuming for a physician to review these. It …

Towards explainability in using deep learning for the detection of anorexia in social media

H Amini, L Kosseim - … Language Processing and Information Systems: 25th …, 2020 - Springer
Explainability of deep learning models has become increasingly important as neural-based
approaches are now prevalent in natural language processing. Explainability is particularly …

Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks

LL Lima, JR Ferreira Junior… - Computational …, 2021 - Wiley Online Library
Among all cancer‐related deaths, lung cancer leads all indicators, accounting for
approximately 20% of all types. Patients diagnosed in the early stages have a 1‐year …