Back close

Automating Liver Transplant Outcomes using Artificial Intelligence

Project Incharge:Dr. Remya S.
Co-Project Incharge:Dr. Krishnanunni Nair
Automating Liver Transplant Outcomes using Artificial Intelligence

Post-transplant recipients can develop a large number of complications post-surgery due to the magnitude of the treatment and the need for heavy medications in the form of immunosuppressants. Thus, preoperative patient optimization and patient selection remains of paramount importance in getting the best possible outcomes post-transplant. We would try and utilize artificial intelligence classifiers in the form of artificial neural networks, decision tree classifiers, random forest and naïve bayes classification models to try and develop better predictive tools and scoring systems with our main focus on transplant outcomes.

Collaboration

  • Amrita Institute of Medical Science, Cochin

Related Projects

Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
TECTOD – Technology enhanced Cognitive Tutoring for Dyslexics
TECTOD – Technology enhanced Cognitive Tutoring for Dyslexics
Marine Algae – An Important Source for Lectins
Marine Algae – An Important Source for Lectins
Identification and Functional Analysis of Probiotic Bacterial Surface Associated Proteins in Preventing Enteropathogenic Infections
Identification and Functional Analysis of Probiotic Bacterial Surface Associated Proteins in Preventing Enteropathogenic Infections
Admissions Apply Now