St. John's University Presents Innovative Methods to Improve Clinical Decision Support Systems at BIOSTEC Conference

Dr. Syed Ahmad Chan Bukhari and his team from St. John's University, The Lesley H. and William L. Collins College of Professional Studies, recently had the privilege of attending the BIOSTEC conference in Lisbon, Portugal. This conference brings together experts from various fields interested in theoretical advancements and applications of information systems, artificial intelligence, signal processing, electronics, and other engineering tools in knowledge areas related to biology and medicine.

At the conference, Dr. Bukhari and his team presented three papers and a poster on novel methods to introduce explainability factors in clinical decision support systems. The papers explore different aspects of health science and use innovative approaches to improve the quality of patient care.

The first paper, "An NLP-Enhanced Approach to Test Comorbidities Risk Scoring Based on Unstructured Health Data for Hospital Readmissions Prediction," discusses how natural language processing can be used to test comorbidities risk scoring based on unstructured health data for hospital readmissions prediction. To read more on this paper, click here. 

The second paper, "Attention-Based Explainability Approaches in Healthcare Natural Language Processing," explores how attention-based explainability approaches can be used in healthcare natural language processing. To read more on this paper, click here. 

The third paper, "Knowledge Graph Based Trustworthy Medical Code Recommendations," focuses on knowledge graph-based trustworthy medical code recommendations. To read more on this paper, click here.

The work presented by Dr. Bukhari and his team is incredibly important as it provides innovative solutions to some of the most pressing issues in the healthcare industry. By introducing explainability factors in clinical decision support systems, we can improve patient care, reduce errors, and improve overall healthcare outcomes. These methods allow healthcare professionals to make informed decisions based on trustworthy data, ultimately leading to better patient outcomes.

The BIOSTEC conference provided an excellent opportunity for Dr. Bukhari and his team to collaborate with experts in the field and share their research. St. John's University is proud to have been represented at this prestigious conference and looks forward to more opportunities to share their innovative work to continue to revolutionize the healthcare industry.