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职业迁徙
个人简介
Data Mining for Medicine: I develop data mining algorithms for analysis of clinical and biological data. We mine Electronic Health Records (EHRs) and Billing Records, along with Genomic, Proteomic, and Metabolomics data using these algorithms to help create "personalized medicine". We have established close collaborations with Computer Scientists, Statisticians, Mathematicians, Bioinformaticians, and practitioners of Clinical Medicine for this purpose. For example, we have started the following collaborations at the University of Michigan. With Prof. Theodore Iwashyna from Critical Care, we are analyzing the network of ICU transfers across United States. This has revealed cascades of inefficient transfers in the system. We plan to eventually propose a pilot program for the State of Michigan to create an efficient network of clinical transfers. With Prof. John Younger, we are analyzing time-stamped patient data from the Emergency Department to predict sepsis. This project is currently funded as a pilot by the Michigan Institute for Clinical and Health Research (MICHR), an NIH CTSA Center. With Prof. Charles Burant, we are analyzing the data (both clinical and biological) from a cohort of nutrition and obesity volunteers to create predictive models of outcome. This is currently funded as part of the NIH P30 grant to Michigan Nutrition and Obesity Research Center (MNORC). We are also working with researchers and developers at the National Center for Integrative Biomedical Informatics (NCIBI) to create data mining tools suitable for translational and clinical informatics.
Data Mining for Neuroscience: This research thrust follows a three-year long basic research program I led at General Motors Research. My collaborators in this area are Prof. P.S. Sastry (Electrical Engineering, Indian Institute of Science), Prof. Vijay Nair (Statistics, University of Michigan), and Prof. Anne Smith (Anesthesiology, UC Davis). We believe that by studying complex biological systems from a computational view point will lead to organizational principles that not only reveal how the natural system functions in its environment, but also suggest ways to engineer better artifacts endowed with similar intelligent behavior. In the long term, my research along this line will lead to better understanding of basic mechanisms of perception, and memory and also lead to applications in better neuro-prosthetic devices.
Network Analytics: Biological, other natural, and man-made systems form networks at many levels. Throughout my career, I have been a champion of interdisciplinary sciences. I have begun exploratory collaborations with colleagues from LS&A, Engineering, Information, Public Health, and Medicine at the University of Michigan in this regard. I plan to create, co-ordinate, and participate in large inter-disciplinary studies of networks, thereby helping create the field of Network Analytics.
研究兴趣
论文共 70 篇作者统计合作学者相似作者
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Ayinoor V. Varsha,Koniparambil P. Unnikrishnan, Madhur S. Saravana Babu, Suneel P. Raman, Thomas Koshy
JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIAno. 9 (2024): 1932-1940
Journal of Cardiothoracic and Vascular Anesthesia (2024)
Journal of cardiothoracic and vascular anesthesiano. 10 (2023): 2164-2164
Psychonomic bulletin & reviewno. 3 (2023): 979-984
PubMedno. 5 (2022): 44-56
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arXiv: Computer Vision and Pattern Recognition (2019)
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arXiv: Computer Vision and Pattern Recognition (2019)
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作者统计
#Papers: 71
#Citation: 2348
H-Index: 23
G-Index: 48
Sociability: 5
Diversity: 2
Activity: 1
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