Learning Irritable Bowel Syndrome (IBS) Endophenotypes from Multidimensional Clinical Data using Machine Learning
Bibliographic details
Additional authors
Supervisor: Dr. Muhammad Moazam Fraz
Related catalogue records
Unsupervised Domain Adaptation for Image Denoising and Enhancement in Autonomous Vehicles
Bibi, Zainab
Robust activity and behavior recognition system for elderly safety monitoring and fall detection
Imran, Muhammad Talha
A Prior-Anchored Adaptive Hybrid Normalization Framework: A Comparative Study with Switchable Normalization
Aftab, Farhan
A voice-enabled Urdu cognitive screening and intervention system for Alzheimer patients
Chaudhary, Abeera Saeed
Advancing Time Series Forecasting: A Comparative Study of Statistical, Tree-Based, Deep Learning, and Neural Combiner Models on the M4 Yearly Dataset
Kiyani, Fatima
Emotion Modeling for Investigating Dimensional Affect in Longitudinal Texts
Noor, Sadia
Enhancing Phishing Detection with Feature Engineering and Deep Learning
Tahir, Aiman
Multiclass Classification for Medical Image Analysis Using Advanced Methods
Umar, Eesha