Haroon Anwar Cited in Critical Kidney Transplant Analysis Using IBM Watson Explorer

Posted by The Neocol Team on Nov 11, 2016 10:23:52 AM

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Neocol Senior Solution Architect Haroon Anwar was recently credited as a co-author on an abstract and presentation entitled, “A big data approach to prediction of three-year graft loss risk in kidney transplants: structured and unstructured dynamic patient level data improve predictive efficacy”.  The abstract and presentation, led by Titte R Srinivas MD of the Medical University of South Carolina (MUSC), came as a result of a successful project for MUSC leveraging IBM Watson Explorer.

Mr. Anwar served as Technical Lead on the project, whose purpose was to, “…predict which kidney transplant patients are most likely to experience a high rate of eterioration in their estimated glomerular filtration rate (eGFR) and/or Creatinine slope or exhibit a pattern of dysfunction as a marker for condition deterioration, worsening outcomes, and increased costs.” Although there are various types of risk assessment models that can help doctors predict the chances of a remission after a kidney transplant, most of these models use traditional approach where structured data sets are used as input to a model. With the explosion of unstructured content now available, Dr. Srinivas, Mr. Anwar and team deployed IBM Watson Explorer Advanced edition to improve the outcome of predictive modelling by leveraging the combination of both unstructured & structured as an input to the prediction models.

The outcome of the project provided a various set of predictive models that take a combination of structured and unstructured data to improve the accuracy of remission prediction. The output of the models were highly regarded by MUSC and further presented at 26th Annual Congress of Transplantation Society.

https://confman.tts2016.org/mobis/lecture/1149

Haroon Anwar is Senior Solution Architect at Neocol Inc. Mr. Anwar has over fifteen (15) years of experience in various areas of the IT domain(s) that ranges from product(s) architecture to full project life-cycle implementations of the Enterprise Content Management (ECM) solutions and IBM Watson Content Analytics solution for customers. Prior to joining Neocol, Mr. Anwar worked as a Lead Solution Architect for IBM Watson Lab Services, USA. Mr. Anwar’s Industry experience includes solution delivery to a broad range of satisfactory clients in the financial, public, industrial, energy, and healthcare sectors.

 

Topics: Unstructured Data, Analytics, Watson Explorer