A Bayesian Model Framework to Determine Patient Compliance in Glaucoma Cases - Couverture souple

Korrapati, Raghu

 
9780595368396: A Bayesian Model Framework to Determine Patient Compliance in Glaucoma Cases
Couverture souple
ISBN 10 : 0595368395 ISBN 13 : 9780595368396
Editeur : iUniverse, 2005

Synopsis

This research applied Bayesian modeling to medication noncompliance in glaucoma patients. A model-based decision support system using a Bayesian Network was developed to determine whether a patient was complying with the medications prescribed by the physician. Results from this study could potentially improve the decision making process, given the uncertain and incomplete data available to a physician. The model may be generalized to other business situations where a decision has to be made based on incomplete and uncertain data sets.Bayesian Networks have increasingly become tools of choice in solving problems involving uncertainty in the medical domain. These models have been successfully applied to diagnosis applications. The purpose of this research was to devise a Bayesian framework to assess the compliance with medication in glaucoma patients.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Biographie de l'auteur

Dr. Korrapati holds a Ph.D degree in Computer Information Systems, an M.B.A. in Business Administration, M.S. in Computer Science, M.Tech. in Computer Science and Technology and B.S. in Engineering. He is a Charted Property and Casualty Underwriter (CPCU), Certified Project Management Professional (PMP), and Certified Microsoft Professional (MCP).Dr. Korrapati teaches for Masters and Ph.D students in Business, Management, and Computer Science. He is a mentor in Applied Management and Decision Sciences (AMDS) program where he advises Ph.D students on research activities and teaching. Dr. Korrapati has published a number of articles in peer-reviewed conferences and journals in the areas of business, management, and computer information systems.He is a peer reviewer for various Conferences and serves on Editorial Boards onseveral peer-reviewed journals. He is the Editor-In-Chief of a peer-reviewedjournal?International Journal of Applied Management and Technology (http://www.iJAMT.org/) and Conference Manager for Annual Conference on Applied Management and Decision Sciences (http://www.amdsconference.org/).

Présentation de l'éditeur

This research applied Bayesian modeling to medication noncompliance in glaucoma patients. A model-based decision support system using a Bayesian Network was developed to determine whether a patient was complying with the medications prescribed by the physician. Results from this study could potentially improve the decision making process, given the uncertain and incomplete data available to a physician. The model may be generalized to other business situations where a decision has to be made based on incomplete and uncertain data sets.Bayesian Networks have increasingly become tools of choice in solving problems involving uncertainty in the medical domain. These models have been successfully applied to diagnosis applications. The purpose of this research was to devise a Bayesian framework to assess the compliance with medication in glaucoma patients.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
iUniverse
Date d'édition
2005
Langue
anglais
ISBN 10 
0595368395
ISBN 13 
9780595368396
Reliure
Broché
Nombre de pages
98
Coordonnées du fabricant
non disponible
Personne responsable
non disponible