AWARDS
2020
Digital Health and Machine Learning
Best Student Paper Award at AIME (Artificial Intelligence in Medicine)
Presenter | Paper | medRxiv | GitHub
Morassi Sasso, A., Datta, S., Jeitler, M., Steckhan, N., Kessler, C. S., Michalsen, A., Bert, A., Boettinger, E.: HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population. Proceedings of AIME (2020).
EXPLORING WOMEN’S POTENTIAL FOR Digital INnovations
Best Student Paper Award in Track (Making Digital Inclusive – Blending the Local and the Global) at ICIS (International Conference on Information Systems)
Schmitt, Franziska; Sundermeier, Janina; Bohn, Nicolai; and Morassi Sasso, Ariane, “Spotlight on Women in Tech: Fostering an Inclusive Workforce when Exploring and Exploiting Digital Innovation Potentials” (2020). ICIS 2020 Proceedings. 6.
COMPETITIONS
2020
Women in Data Science (WiDS)
82nd from 951 Teams (9%) | AUC on the test data: 0.911
2018
Personalized Medicine and Information Retrieval
| Biomedical Articles | Clinical Trials | ||
| infNDCG | 2nd | 1st | |
| R-prec | 2nd | 4th | |
| P @ 10 | 1st | 7th |
Oleynik, M., Faessler, E., Sasso, A.M., Kappattanavar, A., Bergner, B., da Cruz, H.F., Sachs, J.-P., Datta, S., Boettinger, E.: HPI-DHC at TREC 2018 Precision Medicine Track. Notebook papers of the TREC 2018 conference. pp. 1-9 (2018).
Other Publications
2020
Digital Health
Musmann, F., Sasso, A. M. & Arnrich, B. ALPS: A Web Platform for Analysing Multimodal Sensor Data in the Context of Digital Health. in 2020 IEEE International Conference on Healthcare Informatics (ICHI) 1–12 (IEEE, 2020).
Gender Bias in Science
Oliveira-Ciabati, L., Loures Dos Santos, L. Hsiou Schmaltz, A., Morassi Sasso, A., Castro, M., Souza, J. P.: Sexismo científico: o viés de gênero na produção científica da Universidade de São Paulo. Revista de Saúde Pública (2020). Free translation: Scientific sexism: the gender bias in the scientific production of the university of Sao Paulo. (Waiting for Publication)
2015-2019
Digital health and Machine Learning
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).
Health Information Systems
Yoshiura, V.T., Azevedo-Marques, J. M., Rzewuska, M., Vinci, A.L.T., Sasso, A.M., Miyoshi, N.S.B., Furegato, A.R.F., Rijo, R.P.C.L., Del-Ben, C.M., Alves, D.: A web-based information system for a regional public mental healthcare service network in Brazil. International journal of mental health systems.11,1 (2017).
Ontologies and Clinical trials
Patrão, D.F.C., Oleynik, M., Massicano, F., Sasso, A.M.: Recruit-An Ontology Based Information Retrieval System for Clinical Trials Recruitment. MedInfo. p. 534–538 (2015).
Massicano, F., Sasso, A., Tomaz, H., Oleynik, M., Nobrega, C., Patrão, D.F.C.: An Ontology for TNM Clinical Stage Inference. ONTOBRAS (2015).
