A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a large quantity of data. Many robust early detection services and other health-related …
Q Li, J Wright, R Hales, R Voong, T McNutt - npj Digital Medicine, 2022 - nature.com
Appropriate dosing of radiation is crucial to patient safety in radiotherapy. Current quality assurance depends heavily on a physician peer-review process, which includes a review of …
F Khanizadeh, A Ettefaghian, G Wilson… - International Journal of …, 2025 - Elsevier
Background Anomalies in healthcare refer to deviation from the norm of unusual or unexpected patterns or activities related to patients, diseases or medical centres. Detecting …
The healthcare industry is one of the most information-intensive sectors. Medical facts, expertise, and information continue to expand every day. It was projected that five terabytes …
A Varghese, MS Midhun… - International Journal of …, 2024 - inderscienceonline.com
Anomaly detection is a crucial step in any diagnostic procedure. With the advent of continuous monitoring devices, it is inevitable to use technological assistance for the same …
In all information systems it is very important to operate with correct information. Incorrect information can lead to many problems that can cause direct financial and reputation loss of …
Over a decade, analysing longitudinal data has presented a challenge in meeting the demands of extracting useful knowledge. For instance, as cloud/data centres grow in scale …
Q Li, J Wright, R Hales, R Voong, T McNutt - arXiv preprint arXiv …, 2021 - arxiv.org
Appropriate dosing of radiation is crucial to patient safety in radiotherapy. Current quality assurance depends heavily on a peer-review process, where the physicians' peer review on …
En la actualidad la detección de anomalías en procesos industriales es clave para optimizarlos y generar una mayor eficiencia en el proceso productivo, reportando unos …