Home > Seminars > CSE Seminar Series: Ashok Deshpande - Can Fuzzy Logic Bring Complex Problems in Gynecological Diseases into Focus?

CSE Seminar Series: Ashok Deshpande - Can Fuzzy Logic Bring Complex Problems in Gynecological Diseases into Focus?

Start:

10/22/2015 at 3:30PM

End:

10/22/2015 at 5:00PM

Location:

138 DeBartolo

Host:

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Nitesh Chawla

Nitesh Chawla

VIEW FULL PROFILE Email: nchawla@nd.edu
Phone: 574-631-1090
Website: http://www.nd.edu/~nchawla/
Office: 384 Nieuwland Science Hall

Affiliations

College of Engineering Frank M. Freimann Professor
Dr. Chawla's research interests are broadly in the areas of Big Data: data science, machine learning, network science and their applications social networks, healthcare informatics/analytics, and climate/environmental sciences. He directs the Notre Dame Interdisciplinary Center for Network ...
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Medical diagnosis can be viewed as a process by which a clinician/physician assigns a label to a patient. This assignment is based on the information the clinician collected about the patient and his/her present knowledge of medical sciences. The descriptions of disease entities use linguistic expressions that are inherently imprecise/vague/fuzzy/ambiguous which form the scaffold of the medical knowledge of a physician.  An early successful application of fuzzy logic expert systems was in a system called CADIAG where the medical information is derived from medical records taken from a hospital information system.

Diseases such as Gynecological diseases involve multiple concomitant causal factors and may be difficult to represent using conventional statistical methods. The diagnosis of disease involves several levels of uncertainty and imprecision, and it is inherent to medicine. A single disease may manifest itself quite differently, depending on the patient, and with different intensities. A single symptom may correspond to different diseases. On the other hand, several diseases present in a patient may interact and interfere with the usual description of any of the diseases. The best and most precise description of disease entities uses linguistic terms that are also imprecise and we have revisited type 1 fuzzy relational calculus as initial screening model to arrive a single diagnosis at least for some of the patients. Thereafter, applied Type 1 FIS to the output of initial screening model.  The sequel starts with relevant preliminaries presents the research findings with a case study focused only on the symptoms and the history of the patients.

Seminar Speaker:

Ashok Deshpande

Ashok Deshpande

University of Pune, India

Professor Ashok Deshpande, Founding Chair Berkeley Initiative in Soft Computing (BISC)-Special interest Group (SIG)-Environment Management Systems (EMS) holds a PhD degree in Engineering and Technology. Dr. Ashok was Deputy Director, National Environmental Engineering Research Institute (NEERI) /CSIR. He is Visiting Professor in University of New South Wales, Canberra Australia and Indian Institute of Technology Mumbai India. Also Adjunct Professor College of Engineering Pune India, National Institute of Technology Silchar, Assam. He has over 4 decades of R&D experience and has over 120 publications in the Journals of international repute/conferences. In the past, Dr. Ashok was WHO Adviser, Common Wealth Science Council Resource Scientist, World Bank Project Director for the studies on Probabilistic Risk Assessment for Chemical Process industry. He also organized a Workshop as WHO Adviser in 5 countries on Unaccounted for Water Management and also assisted Danish International Development Authority (DANIDA) as a Project Advisor.