User:Patti.ordonez
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| − | Patricia Ordóñez is an Assistant Professor at the University of Puerto Rico Río Piedras in the Department of Computer Science. Her research centers on using visualization and data mining (visual analytics) to improve the state of medicine in intensive care units. She is interested in creating clinical decision support systems that aid medical providers to efficiently diagnose and treat patients and that personalize medicine by applying data mining, machine learning, and visualization techniques to data warehouses of electronic medical data. She is also interested in developing technologies and universal interfaces to help anyone with an interest in developing software to program. She is interested on working on Humanitarian Free and Open Source Software (HFOSS) projects that she can have her student contribute to and are close to her research interests. | + | Patricia Ordóñez is an Assistant Professor at the University of Puerto Rico Río Piedras in the Department of Computer Science. Her research centers on using visualization and data mining (visual analytics) to improve the state of medicine in intensive care units. She is interested in creating clinical decision support systems that aid medical providers to efficiently diagnose and treat patients and that personalize medicine by applying data mining, machine learning, and visualization techniques to data warehouses of electronic medical data. She is also interested in developing technologies and universal interfaces to help anyone with an interest in developing software to learn to program. She is interested on working on Humanitarian Free and Open Source Software (HFOSS) projects that she can have her student contribute to and are close to her research interests. She believes that projects like these will help diversify computing, something she is passionate about doing. |
Revision as of 15:10, 31 May 2013
Patricia Ordóñez
Patricia Ordóñez is an Assistant Professor at the University of Puerto Rico Río Piedras in the Department of Computer Science. Her research centers on using visualization and data mining (visual analytics) to improve the state of medicine in intensive care units. She is interested in creating clinical decision support systems that aid medical providers to efficiently diagnose and treat patients and that personalize medicine by applying data mining, machine learning, and visualization techniques to data warehouses of electronic medical data. She is also interested in developing technologies and universal interfaces to help anyone with an interest in developing software to learn to program. She is interested on working on Humanitarian Free and Open Source Software (HFOSS) projects that she can have her student contribute to and are close to her research interests. She believes that projects like these will help diversify computing, something she is passionate about doing.
