IEEE Life Sciences Newsletter
This month we bring you four interesting articles from presenters at the recent 2013 IEEE International Conference on Healthcare Informatics (ICHI 2013), held in Philadelphia, PA (USA). Also, we bring you an interview with Aniruddha Datta, who authored an article in last month's Newsletter.
Dr. Aniruddha Datta has been working on a novel technique to optimize cancer therapy design, using tools from classical control therapy, as outlined in an article in last month's Newsletter. In this interview, he tells us more about his work, and reactions to it in the engineering and medical/biological communities.
By Christopher C. Yang
The 2013 IEEE International Conference on Healthcare Informatics (ICHI 2013), held in Philadelphia, PA (USA) from September 8-11, brought together researchers and scientists from academia and industry as well as practitioners to discuss their research and practices. ICHI is concerned with the application of computer science principles, engineering principles, information science principles, information technology, and communication technology to address problems in healthcare, public health, everyday wellness as well as the related social and ethical issues.
By Christopher C. Yang, Rebecca Chiu, Simon Lin, and Akhil Kumar
At ICHI 2013, a panel of four experts discussed the challenges and opportunities of patient-centered research by harnessing social media. They presented examples illustrating how social media data can be mined to benefit both the patient and clinical communities.
By Prasanna Desikan, Ritu Khare, Jaideep Srivastava, Robert Kaplan, Joydeep Ghosh, Longjian Liu, Vipin Gopal
A workshop on Data Mining for Healthcare (DMH) was part of ICHI 2013.This report summarizes the discussions and recommendations of the workshop in general, and the workshop panel discussion in particular. The panel, titled "Predictive modeling in healthcare: Challenges, opportunities, and realities", had experts including physicians, data scientists, and policy makers, representing the government, healthcare providers and payers, and academics.
By Christian Seeger and Kristof Van Laerhoven
An increasing variety of sensors has led to a vast increase in sensor-based telemedicine solutions and to an increase in system development effort. An event-driven middleware, which allows applications to define desired information types reduces these efforts. Incoming sensor data is transformed into the required data representation. Reloading of transformation rules from a remote server allows the system to adapt to future applications and sensors at run-time. Application-specific event channels provide tailor-made information retrieval and control over the data dissemination.
About the Newsletter
The IEEE LifeSciences Newsletter is a new initiative to bring forth interesting articles and informative interviews within the exciting field of life sciences every month. Please subscribe to the newsletter to receive notification each month when new articles are published.
November 2013 Contributors
Aniruddha Datta received the Ph.D. degree from the University of Southern California in 1991. In August 1991, he joined the Department of Electrical and Computer Engineering at Texas A&M University where he is currently the J. W. Runyon, Jr. '35 Professor II. His areas of interest include adaptive control, robust control, PID control and Genomic Signal Processing. Read more
Christopher C. Yang is an associate professor in the College of Computing and Informatics at Drexel University. He received his PhD in computer engineering from the University of Arizona. His recent research interests include healthcare informatics, social intelligence and technology, Web search and mining, knowledge management, and information visualization. Read more
Rebecca Chiu heads up Business Development for MedHelp, the leading online social media and mobile health platform. She works with strategic partners to help them engage patients and personalize their services, as well as building the partner ecosystem for MedHelp's platform service. Ms. Chiu holds an M.A. and a B.A. in Economics from Yale University and an M.B.A. from The Wharton School. Read more
Simon Lin is Director of the Biomedical Informatics Research Center at Marshfield Clinic Research Foundation and he holds the Dr. John Melski Endowed Physician Scientist at Marshfield Clinic. Dr Lin received an MD degree in Medical Informatics at the School of Medicine, Peking University, Peking. Read more
Akhil Kumar is a Professor of Information Systems at the Smeal College of Business at Penn State University. He received his Ph.D. from the University of California, Berkeley. His research interests are in healthcare IT, business process management systems, process mining and web services. Read more
Prasanna Desikan is currently Senior Research Scientist at Division of Applied Research, Office of Clinical Excellence, Allina Health. He received his Ph.D in Computer Science from University of Minnesota, Twin Cities, USA. Read more
Ritu Khare is a Research Fellow with the National Center for Biotechnology Information at the National Institutes of Health (NIH). She conducts health informatics research focused on data and text mining, natural language processing, information extraction, and data integration. She earned her Doctorate in Information Science in 2011 from the iSchool at Drexel University, in collaboration with the Drexel University College of Medicine. Read more
Jaideep Srivastava is Professor of Computer Science & Engineering at the University of Minnesota, where he directs a laboratory focusing on research in Web Mining, Social Media Analytics, and Health Analytics. He has a PhD from the University of California, Berkeley. Read more
Robert M. Kaplan, Ph.D. is Associate Director for Behavioral and Social Sciences and Director of the Office of Behavioral and Social Sciences Research (OBSSR) in the National Institutes of Health (NIH) Office of the Director. He is the author, co-author or editor of more than 18 books and over 500 articles or chapters. Read more
Joydeep Ghosh is Joydeep Ghosh is the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at the University of Texas, Austin. Dr. Ghosh's research interests lie primarily in data mining and web mining, predictive modeling / predictive analytics and their applications to a wide variety of complex real-world problems, including extracting value from a variety of healthcare data. He received the Ph.D. at The University of Southern California. Read more
Longjian Liu, MD, PhD, MSc, FAHA, is an associate professor of Epidemiology and Biostatistics at Drexel University School of Public Health, and associate professor of medicine at Drexel University College of Medicine. Dr. Liu's main research covers cardiovascular disease and diabetes prevention, and the usage of hospital electronic medical records to monitor and predict disease risk and outcomes. Read more
Vipin Gopal is the Vice President of Clinical Analytics at Humana, a Fortune 100 company. He is an expert in developing differentiating analytic competencies, and has previously led analytic functions in diverse companies ranging from industrial conglomerates to healthcare. Dr. Gopal obtained his Ph.D. from Carnegie Mellon University. Read more
Christian Seeger is currently a Ph.D. student in the Databases and Distributed Systems group led by Prof. Alejandro Buchmann at TU Darmstadt. His research interests are middleware approaches and applications for on-body and ambient sensor networks. Read more
Kristof Van Laerhoven obtained his Ph.D. at Lancaster University (UK) He heads the Embedded Sensing Systems lab at the TU Darmstadt (Germany), funded by the Emmy Noether Programme of the German research foundation DFG. His research combines sensing systems with pattern recognition and machine learning, to obtain adaptive and power-efficient systems. Read more