Disease diagnosis in smart healthcare: Innovation, technologies and applications

KT Chui, W Alhalabi, SSH Pang, PO Pablos, RW Liu… - Sustainability, 2017 - mdpi.com
To promote sustainable development, the smart city implies a global vision that merges
artificial intelligence, big data, decision making, information and communication technology …

[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development

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 …

A digital physician peer to automatically detect erroneous prescriptions in radiotherapy

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 …

[HTML][HTML] Smart data-driven medical decisions through collective and individual anomaly detection in healthcare time series

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 …

[PDF][PDF] A STUDY FOR DIAGNOSING AND TREATMENT OF CHRONIC AND RECURRENT DISEASES USING DATA MINING TECHNIQUES Thesis submitted to

AK CHAUDHURI - 2022 - researchgate.net
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 …

Temporal autoencoder architectures with attention for ECG anomaly detection

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 …

Innovative Multi-Step Anomaly Detection Algorithm with Real-World Implementation: Case Study in Supply Chain Management

E Žunić, Z Tucaković, S Delalić… - 2020 IEEE/ITU …, 2020 - ieeexplore.ieee.org
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 …

[PDF][PDF] Anomaly Detection on Longitudinal Data with Applications in Cloud & Healthcare

A Abubakar - 2023 - pure.qub.ac.uk
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 …

A novel data-driven algorithm to predict anomalous prescription based on patient's feature set

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 …

Técnicas de clasificación supervisadas para la detección de anomalías en el control de procesos industriales

Á Michelena, F Zayas-Gato, E Jove… - XLIII Jornadas de …, 2022 - ruc.udc.es
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 …