Goce Ristanoski

P019 Automatic Detection of Patient-Ventilator Asynchrony during Non-Invasive Ventilation using Matrix Profiles

M Juliandri, U Aicklin, G Ristanoski, L Hannan, N Sheers, M Howard, D Berlowitz

Journal article  |  2022  |  SLEEP Advances

Abstract Automated Patient-Ventilator Asynchrony (PVA) detection and classification has been described previously, ..

Development and preliminary validation of automatic detection of patient-ventilator asynchrony during non-invasive ventilation using matrix profiles

M Juliandri, U Aicklin, G Ristanoski, L Hannan, N Sheers, M Howard, D Berlowitz

Conference Proceedings  |  2022  |  02.02 - Noninvasive ventilatory support

AI Based Cancer Detection Models Using Primary Care Datasets

Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy, Uwe Aickelin

Journal article  |  2022  |  JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY

Cancer is one of the most common and serious medical conditions with more than 144 000 Australians having been diagnosed with canc..

Untangling the Concept of Artificial Intelligence, Machine Learning, and Deep Learning

Muhammad Juliandri, Goce Ristanoski, Uwe Aickelin

Book Chapter  |  2022

Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning

Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard

Book Chapter  |  2022  |  Lecture Notes in Computer Science

During mechanical ventilation, a common problem known as patient-ventilator asynchrony (PVA) occurs when there is a mismatch betwe..

Handling uncertainty using features from pathology: Opportunities in primary care data for developing high risk cancer survival methods

G Ristanoski, J Emery, J Martinez Gutierrez, D McCarthy, U Aickelin

Conference Proceedings  |  2021  |  ACM International Conference Proceeding Series

More than 144 000 Australians were diagnosed with cancer in 2019. Diagnosing cancer in primary care is challenging due to the non-..

Patient-Ventilator Asynchrony Detection via Similarity Search Methods

Chenyang Wang, Uwe Aickelin, Ling Luo, Goce Ristanoski

Conference Proceedings  |  2021  |  ICMHI 2021 Proceeding

Patient-ventilator asynchrony (PVA) is a common cause of ventilation-related medical complications and are traditionally only able..

Primary care datasets for early lung cancer detection: an AI led approach

Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy, Uwe Aickelin

Conference Proceedings  |  2021  |  Artificial Intelligence in Medicine

Cancer is one of the most common and serious medical conditions, with significant challenges in the detection of cancer originatin..

A Clustering-Prediction Pipeline for Customer Churn Analysis

Hanming Zheng, Ling Luo, Goce Ristanoski

Conference Proceedings  |  2021  |  KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III

Customer churn is the event when customers using the products or services of an organization decide to no longer do so by either s..

Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction

Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie

Conference Proceedings  |  2020  |  20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020)

To provide effective services for intelligent transportation systems (ITS), such as optimizing ride services and recommending trip..