A5007148776- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Medical Coding and Health Information
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Machine Learning in Bioinformatics
- Digital Marketing and Social Media
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Advanced Malware Detection Techniques
- Topic Modeling
- Recommender Systems and Techniques
- Algorithms and Data Compression
RMIT University
2016-2021
American University in Cairo
2011
The translation of medical diagnosis to clinical coding has wide range applications in billing, aetiology analysis, and auditing. Currently, is a manual effort while the automation such task not straight forward. Among challenges are messy noisy records, case complexities, along with huge ICD10 code space. Previous work mainly relied on discharge notes for prediction was applied very limited data scale. We propose an ensemble model incorporating multiple sources accurate predictions. further...
This research is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers each question. To achieve this objective, an approach, which applies page segmentation to detect Q/A along with use some selective statistical sentence extraction features for summary generation, proposed. The automatically generated summaries are compared by widely used commercial tool named Copernic Summarizer2.1. comparison...
Clinical coding is an administrative process that involves the translation of diagnostic data from episodes care into a standard code format such as ICD10. It has many critical applications billing and aetiology research. The automation clinical very challenging due to sparsity, low interoperability digital health systems, complexity real-life diagnosis coupled with huge size ICD10 space. Related work suffer applicability reliance on sources, inefficient modelling less generalizable...