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- Computing and Processing
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- General Topics for Engineers
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- Engineered Materials, Dielectrics and Plasmas
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Tahsien Al-Quraishi
Also published under:
Affiliation
Higher Education Department, Victorian Institute of Technology (VIT), Melbourne, VIC, Australia
Topic
Accuracy Metrics,Accurate Risk Prediction,Artificial Neural Network,Association Rules,Bhattacharyya Distance,Breast Cancer,Breast Cancer Risk,Breast Cancer Risk Prediction,Cancer Datasets,Changes In Data,Changes In Distribution,Class Labels,Colon Cancer,Computation Time,Concept Drift,Conditional Entropy,Correlation-based Methods,Data Distribution,Data Stream Mining,Data Streams,Decision Tree Algorithm,Deep Neural Network,Domain Shift,Ensemble Members,Ensemble Method,Ensemble-based Methods,Feature Selection Algorithm,Feature Selection Approach,Federated Learning,Gene Expression Data,High Accuracy Performance,Income Data,Internet Of Things,Internet Of Things Data,Intrusion Detection System,Learning Algorithms,Machine Learning,Machine Learning Models,Mean Data,Memory Consumption,Microarray Gene Expression,Microarray Gene Expression Data,Microarray Gene Expression Datasets,Neural Network,Non-stationary Environments,Online Learning,Output Of Algorithm,Precision Matrix,Predict Breast Cancer,Prediction Accuracy,
Biography
Tahsien Al-Quraishi is currently a Senior Data Science Lecturer and contributes to the academic community by drawing on his extensive professional experience, particularly in the area of health informatics. His research spans a wide range, with contributions to prestigious journals and conferences in the areas of data science, data analysis, bioinformatics, and health informatics. He has a well-deserved reputation as a respected expert in the field of health informatics, specifically cancer research, and is praised for his priceless real-world knowledge.