Event prediction in the big data era: A systematic survey
L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Time series prediction using deep learning methods in healthcare
Traditional machine learning methods face unique challenges when applied to healthcare
predictive analytics. The high-dimensional nature of healthcare data necessitates labor …
predictive analytics. The high-dimensional nature of healthcare data necessitates labor …
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction
A variety of deep learning architectures have been developed for the goal of predictive
modelling and knowledge extraction from medical records. Several models have placed …
modelling and knowledge extraction from medical records. Several models have placed …
[PDF][PDF] Event Prediction in Big Data Era: A Systematic Survey. arXiv preprint
L Zhao - ArXivorg, 2020 - par.nsf.gov
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Findings from machine learning in clinical medical imaging applications–Lessons for translation to the forensic setting
CA Peña-Solórzano, DW Albrecht, RB Bassed… - Forensic Science …, 2020 - Elsevier
Abstract Machine learning (ML) techniques are increasingly being used in clinical medical
imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of …
imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of …
Assessing the clinical validity of attention-based and SHAP temporal explanations for adverse drug event predictions
Attention mechanisms form the basis of providing temporal explanations for a variety of state-
of-the-art recurrent neural network (RNN) based architectures. However, evidence is lacking …
of-the-art recurrent neural network (RNN) based architectures. However, evidence is lacking …
Artificial intelligence for the future of medicine
RB Ruiz, JD Velásquez - Artificial Intelligence and Machine Learning for …, 2022 - Springer
Since its origins, medicine has been more linked to the cure of diseases than to their
prevention. This is due to multiple factors, training of health professionals aimed at curing …
prevention. This is due to multiple factors, training of health professionals aimed at curing …
Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques
The integration of deep learning in healthcare has propelled advancements in diagnostics
and decision support. However, the inherent opacity of deep neural networks (DNNs) poses …
and decision support. However, the inherent opacity of deep neural networks (DNNs) poses …
[PDF][PDF] Artificial Intelligence and Machine Learning for Healthcare
L Jain - 2023 - researchgate.net
Since its origins, medicine has been more linked to the cure of diseases than to their
prevention. This is due to multiple factors, training of health professionals aimed at curing …
prevention. This is due to multiple factors, training of health professionals aimed at curing …
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
JV Benzin, S Rinderle-Ma - arXiv preprint arXiv:2302.04018, 2023 - arxiv.org
Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …
and aims to support the user in deciding on actions that change future events towards a …