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Two Hearts
Two Hearts HPI Digital Health - Connected Healthcare Teaching Two Hearts, One Rhythm? Stress-Level Interplay Between Patient and Surgeon in Open Heart Surgery Participants Master Project Students: xx [...] grafting a bypass. In this setting, stress on the patient’s heart might transfer to the surgeon who might get stressed or even hectic in return. This creates a complex interplay of stress levels between patient [...] beings in such close associations. But now we have the chance to do just that! The cardiac surgery team at Klinikum Dortmund headed by Prof. Dr. med. Alexander Albert is a world leader in beating heart and
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Robin Van De Water
techniques to get a risk assessment for doctors to increase the survival rate. More information can be found on my personal website . Work Experience 2021: Research Assistant and developer at the German Research [...] (DFKI), Berlin 2019: Teaching Assistant at Utrecht University, Utrecht Education 2019 - 2021: Computer Science and Data Science (M.Sc./M.Eng.) dual degree at Eindhoven University of Technology and Technische [...] Project: Deep Learning Data Generation for Medical Prediction Systems WiSe 2022/2023 Publications at HPI 2024 Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction . Pfitzner
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Press and Newsroom
Communication Phone: +49 331 5509-505 Mail: presse@hpi.de Recent Press Releases Recent News HPI Podcast Get to know more about the digital world! The HPI Podcast invites experts to talk about digital developments [...] and other topics. Register now HPI d-school Newsletter Monthly news, events, publications, and offers related to the HPI d-school. Register now Event Newsletter The HPI Event Newsletter provides regular [...] and upcoming HPI events. Register now Alumni Newsletter Stay connected and up to date even after your graduation! The HPI Alumni Newsletter informs you about events and topics from the HPI campus. Register
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Digital Health (M.Sc.)
versatile manner. HPI Connect job portal Admission requirements For the Master's program in Digital Health at HPI, the following admission requirements apply. A bachelor's degree * comprising at least 180 credit [...] Application FAQ HPI in three words? For me, that would be fun, interdisciplinary, and concrete. It offers you all the resources and support to bring your ideas to life and do your thing. Get to know HPI alumnus [...] asked questions about studying at HPI. FAQ Master's Degree Programs Contact Dr. Jasmin Cirillo Program Manager Digital Health (M.Sc.) Phone: +49 331 5509-167 Mail: master-info@hpi.de More Prof. Dr. Bert Arnrich
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Alumni Mentoring Program
roles as a developer at Spread (a data integration start-up), Accenture, the luca app, and Nexenio. During his bachelor’s and master’s studies at HPI, he also completed an internship at SAP in California [...] connects experienced HPI alumni with HPI students. Whether you aspire to become a software engineer, start your own business, work in consulting, or explore new career paths – the HPI Alumni Mentoring Program [...] Master's degrees at the Hasso Plattner Institute, as well as a semester abroad at the University of Technology Sydney, Claudia started her career as a software engineer and Tech Lead at Meta in London.
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Data Mining and Probabilistic Reasoning
in Room D-E.9/10 starting 15.4.15 Slides will be available in the "Materialien" folder in the "Interner Bereich" Exercises: Every other second Wednesday 13:30 in Room D-E.9/10 starting 22.4.15 The homework [...] Data Mining and Probabilistic Reasoning HPI Database Group Teaching Course Archive Data Mining and Probabilistic Reasoning Lecturer Dr. Ralf Krestel Teaching Assistant Maximilian Jenders Abstract Data [...] data mining and pattern recognition techniques that allow us to efficiently make sense of this data. At the same time these techniques should be able to handle uncertainty, as data from measurements may
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2017
received colored balloons for every exercise solved. Jul 2017: HPI summer party The traditional beach volleyball tournament at the 2017 HPI Summer Party was won by a team made up of members and students [...] this-years volleyball champions. Jul 2017: Toby Walsh visits the HPI Toby Walsh is a leading researcher in Artificial Intelligence. He visited HPI and gave a talk on " Will AI end jobs, wars, or humanity? " [...] picture As another photo-related tradition in May, our bachelor project students get their picture taken. Photo credit: HPI/K. Herschelmann May 2017: Annual group picture Every year in May, we take a new
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Advanced Data Profiling (PS, Master)
02 Deadline to finalize repeatability Algorithms (start optimization phase) Mo 12.02 Deadline to start main experiments (start write-up) Mo 19.02 start individual experiments Fr 23.02 Deadline to be done [...] Advanced Data Profiling (PS, Master) HPI Database Group Teaching Course Archive Advanced Data Profiling (PS, Master) Advisors Prof. Dr. Felix Naumann, Thorsten Papenbrock, Tobias Bleifuß , Hazar Harmouch [...] integrate them into Metanome. Schedule The lecture is taking place Mondays, from 01:30 pm - 03:00 pm at Campus III, G-3.E.15/16. Date Topic Slides Mo 16.10. Introduction pdf Mo 23.10. Data profiling / Efficient
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Eilers
Eilers HPI Digital Health - Connected Healthcare Teaching Development of a Standard to Qualitatively Assess QRS Detectors Justus Eilers, Supervisor: Jonas Chromik Master's Thesis For at least 30 years [...] reliable detection of the QRS complex does not seem to be solved any time soon. Although many algorithms get published and compared, no clear best algorithm could be determined yet. As previous research showed
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Advanced Topic Modeling
Advanced Topic Modeling HPI Database Group Teaching Course Archive Advanced Topic Modeling Lecturer: Dr. Ralf Krestel Description Topic modeling is a probabilistic approach to text mining. Large document [...] probability theory and statistics. Prior knowledge is not required but certainly helpful. If you start sweating when seeing a math formula, this is not the right seminar for you. If you are curious and [...] present one topic modeling paper in a 30-minutes talk followed by 30 minutes of discussion. We will start with two groups of students implementing latent Dirichlet Allocation using Collapsed Gibbs sampling
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