Hasso-Plattner-Institut
Prof. Dr. Erwin Böttinger
  
 

Suparno Datta

Research Assistant, PhD Candidate

Phone: +49-(0)331 5509-4817


Room: G-2.2 12/13


Email: suparno.datta(at)hpi.de


Web: LinkedIn

Research Topics

  • Applications of Machine learning and Deep Learning in Healthcare and Medicine
  • Machine Learning with Electronic Health Records

List of Publications

2019

  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions.Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Datta, S., Schraplau, A., da Cruz, H.F., Sachs, J.P., Mayer, F., Böttinger, E.: A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). p. 933--940. IEEE (2019).