A5103035124- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- Topic Modeling
- Artificial Intelligence in Healthcare
- Time Series Analysis and Forecasting
- COVID-19 diagnosis using AI
- Rough Sets and Fuzzy Logic
- Mental Health Research Topics
- Machine Learning and Data Classification
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Customer churn and segmentation
- Expert finding and Q&A systems
- Big Data and Business Intelligence
- Renal function and acid-base balance
- Semantic Web and Ontologies
- Sepsis Diagnosis and Treatment
- Imbalanced Data Classification Techniques
- Advanced Graph Neural Networks
- Forecasting Techniques and Applications
- Data Visualization and Analytics
The University of Queensland
2018-2022
Queensland University of Technology
2020-2022
Asian Institute of Technology
2012
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions. research emphasizes importance recognizing satisfaction for retaining clients, focusing specifically on early churn prediction as key strategy. Previous approaches mainly used generalized classification techniques but often neglected aspect interpretability, vital decision-making. This introduces explainer models address this gap,...
Colorectal cancer is a heterogeneous disease. Its response to targeted therapies associated with various factors, and the treatment effect differ significantly between individuals. Personalize medical (PMT), which takes into consideration of individual patient characteristics, most effective way deal this issue. Patient similarity clustering analysis an important part in PMT. Earlier works mainly focused on computation among patients but overlook preserve relationships. This paper presents...
Fraud detection especially in credit card is one of the challenging issues these days. Finding irregularities even more difficult due to high volume data during transaction. Many mining techniques are applied by researchers for solving problems. In this research, we explore K-Nearest Neighbor (KNN) and k-means algorithms which widely used classification clustering respectively. These research find out better among them. Moreover, also optimize system finding most dominant influencing factor...
Online discussion forums are popular resource for finding solutions various problems. Solutions found in the repositories of and their automated extraction is an important task. People interested only those which contain answers. Effective techniques mining can significantly reduce searching navigation time to find a solution. This paper describes methodology identifying answered threads from forum. To achieve this goal, question post detected first then thread classified as or unanswered by...
Abstract Background Colorectal cancer (CRC) is a heterogeneous disease with different responses to targeted therapies due various factors, and the treatment effect differs significantly between individuals. Personalize medical (PMT) method that takes individual patient characteristics into consideration, making it most effective way deal this issue. Patient similarity clustering analysis an important aspect of PMT. This paper describes how build knowledge base using formal concept (FCA),...