Written by Ebonee Johnson This year’s Spring 2020 DATS Presentation featured a wide variety of insightful and relevant topics. Below, you’ll find a list of the presenters, in addition to some project goals and key takeaways. “A hierarchical bayesian approach for tagged playlist generation” Presenter: Anish JainAdvised by: Eric BradlowConclusion: Read more…
The past decade has brought a sea change in the availability of data. Instead of a world in which we have small number of carefully curated data sources — instead we have a plethora of datasets, data versions, and data representations . Devices and data acquisition tools make it easy Read more…
Critical care involves the use of two common types of medical devices: monitoring devices, such as bedside monitors; and actuation devices, such as infusion pumps. Traditionally, caregivers need to collect information from the monitoring devices and manually adjust the settings of actuating devices. Patient safety may be compromised if a Read more…
Classical tools for rigorously analyzing data make the assumption that the analysis is static: the models to be fit, and the hypotheses to be tested are fixed independently of the data, and preliminary analysis of the data does not feed back into the data gathering procedure. On the other hand, Read more…
The World Well-Being Project (WWBP) is pioneering scientific techniques for measuring psychological well-being and physical health based on the analysis of language in social media. As a collaboration between computer scientists, psychologists, and medical researchers, we are shedding new light on the psychosocial processes that affect health and happiness and Read more…
When a data analysis result is published or shared, how do we know whether it is trustworthy? Â Conceptually, we must show that each step of the analysis (and each set of parameters used in the step) was justified, and that the original data was itself trustworthy. A team of Penn Read more…