Prognostic Models in Healthcare: AI and Statistical Approaches

08.07.2023

Englisch

9789811920592

Springer Singapore

Studies in Big Data

Nein

504

Broschiert

Prof. Tanzila Saba earned her Ph.D. in document information security and management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, in 2012. She won the best student award in the Faculty of Computing UTM for 2012. Currently, she serves as Research Professor and Associate Chair of the Information Systems Department in the College of Computer and Information Sciences, Prince Sultan University, Riyadh, KSA. Her primary research focus in recent years is medical imaging, pattern recognition, data mining, MRI analysis, and soft computing. She led more than fifteen research-funded projects. She has above two hundred research publications that have around 7376 citations with h-index 53. Her most publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who’s Who (S & T) 2012. She is Editor and Reviewer of reputed journals and on the panel of TPC of international conferences. She has full command of various subjects and taught several courses at the graduate and postgraduate levels. On the accreditation side, she is a skilled lady with ABET & NCAAA quality assurance. She is Senior Member of IEEE. Dr. Tanzila is Leader of Artificial Intelligence & Data Analytics Research Lab at PSU and Active Professional Member of ACM, AIS, and IAENG organizations. She is PSU WiDS (Women in Data Science) Ambassador at Stanford University.

Prognostic Modelling, Healthcare Informatics, Image and Data Analysis, Deep Neural Network, Supervised Learning, Segmentation

UYQ - Künstliche Intelligenz UXT - Computeranwendungen in Industrie und Technologie UYM - Computermodellierung und -simulation UN - Datenbanken PBWH - Mathematische Modellierung

235 mm

15.5 cm