A predictive analytics toolbox for medical applications

Ever more frequently business enterprises are benefiting from the collection and analysis of large data. This paper reports on a work in progress of adapting intelligence, predictive analytics tools for analysis of medical data. While large data has been used in medical research, only recently has this become a trend for hospital management. A suite of tools originally developed for military intelligence analysts are repurposed for hospital management. The original design concepts is reviewed, its medical applications and challenges are described along with an illustrative example.

[1]  Michael C. Ferris,et al.  Neuro-dynamic programming for fractionated radiotherapy planning , 2008 .

[2]  Aixia Guo,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2014 .

[3]  Jerzy W. Rozenblit,et al.  A coevolutionary approach to course of action generation and visualization in multi-sided conflicts , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[4]  Jerzy W. Rozenblit,et al.  Text analysis and entity extraction in asymmetric threat response and prediction , 2010, 2010 IEEE International Conference on Intelligence and Security Informatics.

[5]  Wullianallur Raghupathi,et al.  Strategic IT applications in health care , 2002, CACM.

[6]  Mark Stamp,et al.  Hunting for metamorphic engines , 2006, Journal in Computer Virology.

[7]  M. Rief,et al.  The Complex Folding Network of Single Calmodulin Molecules , 2011, Science.

[8]  Jerzy W. Rozenblit,et al.  Modeling and simulation of stability and support operations (SASO) , 2004, Proceedings. 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, 2004..

[9]  Shusaku Tsumoto,et al.  Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[10]  Jerzy W. Rozenblit,et al.  Decision Support Using Deterministic Equivalents of Probabilistic Game Trees , 2012, 2012 IEEE 19th International Conference and Workshops on Engineering of Computer-Based Systems.

[11]  Panos M. Pardalos,et al.  Optimization in medicine , 2008 .

[12]  Shusaku Tsumoto,et al.  Detection of risk factors using trajectory mining , 2011, Journal of Intelligent Information Systems.

[13]  R. Haynes,et al.  Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes , 1998 .

[14]  Syed Sibte Raza Abidi,et al.  Knowledge management in healthcare: towards 'knowledge-driven' decision-support services , 2001, Int. J. Medical Informatics.

[15]  R. Haynes,et al.  Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research , 1994, Annals of Internal Medicine.

[16]  Ranjit Bose,et al.  Knowledge management-enabled health care management systems: capabilities, infrastructure, and decision-support , 2003, Expert Syst. Appl..

[17]  Ferenc Szidarovszky,et al.  A Non-numerical Predictive Model for Asymmetric Analysis , 2010, 2010 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems.

[18]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.