Harry Freitas da Cruz, MBA

Research Assistant, PhD Candidate

	Phone:	+49 (331) 5509-1313
	Fax:	+49 (331) 5509-579
	Email:	Harry.FreitasDaCruz(at)hpi.de
	Room:	G2.2.16 (Campus III)
	LinkedIn:	https://www.linkedin.com/in/harrycruz/

Research Topics

Machine learning in medicine
Patient-level prediction, particularly Nephrology
Explainable Artificial Intelligence
In-Memory Technology for Life Sciences

Projects

Teaching

Publications

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).
[ BibTeX ]

@inproceedings{datta2019machine, author = {Datta, Suparno and Schraplau, Anne and da Cruz, Harry Freitas and Sachs, Jan Philipp and Mayer, Frank and B{ö}ttinger, Erwin}, booktitle = {2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)}, keywords = {myown hpims machinelearning digitalhealth fb-boettinger dhc}, organization = {IEEE}, pages = {933--940}, title = {A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome}, year = 2019 }
Freitas da Cruz, H., Bergner, B., Konak, O., Schneider, F., Bode, P., Lempert, C., Schapranow, M.-P.: MORPHER – A Platform to Support Modeling of Outcome and Risk Prediction in Health Research.Proceedings of the 19th IEEE International Conference on Bioinformatics and Biomedicine. , Athens, Greece (2019).
[ BibTeX ]

@conference{freitasdacruz2019morpher, author = {Freitas da Cruz, Harry and Bergner, Benjamin and Konak, Orhan and Schneider, Frederic and Bode, Philipp and Lempert, Conrad and Schapranow, Matthieu-P.}, booktitle = {Proceedings of the 19th IEEE International Conference on Bioinformatics and Biomedicine}, keywords = {myown bigmedilytics fb-boettinger}, title = {MORPHER – A Platform to Support Modeling of Outcome and Risk Prediction in Health Research}, year = 2019 }
Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcomes.International Journal On Advances in Life Sciences.11,33-43 (2019).
[ BibTeX ]

@article{freitasdacruz2019knowledge, abstract = {In order to compensate severe impairments of renal function, artificial, extracorporeal devices, so called dialyzers, have been developed to enable renal replacement therapy. The parameters utilized in this form of therapy and the specific patient characteristics substantially affect individual patient outcomes and overall disease progression. In this paper, we present a clinical prediction model for outcomes of critically ill patients that underwent a specific form of renal replacement, hemodialysis. For this purpose, we employed two categories of machine learning models: interpretable (Bayesian rule lists and logistic regression) and non-interpretable (multilayer perceptron and random forest). To provide more transparency to the latter category, we applied mimic learning and feature importance metrics. Results show that non-interpretable models outperform the rule-based classifier (c-statistic ≥ 0.9). Despite this result, the use of interpretability methods enables more thorough model scrutiny by a medical experts, revealing possible model biases, which might have been otherwise disregarded.}, author = {Freitas da Cruz, Harry and Horschig, Siegfried and Nusshag, Christian and Schapranow, Matthieu-P.}, journal = {International Journal On Advances in Life Sciences}, keywords = {myown bigmedilytics fb-boettinger}, month = {June}, number = {1-2}, pages = {33-43}, title = {Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcomes}, volume = 11, year = 2019 }
Freitas da Cruz, H., Schneider, F., Schapranow, M.-P.: Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations.Proceedings of the 12th International Conference on Biomedical Engineering Systems and Technologies. pp. 380-387. , Prague, Czech Republic (2019).
[ BibTeX ]

@conference{Cruz2018, author = {Freitas da Cruz, Harry and Schneider, Frederic and Schapranow, Matthieu-P.}, booktitle = {Proceedings of the 12th International Conference on Biomedical Engineering Systems and Technologies}, keywords = {myown SAHRA fb-boettinger}, pages = {380-387}, title = {Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations}, volume = 5, year = 2019 }
Konak, O., Freitas Da Cruz, H., Thiele, M., Golla, D., Schapranow, M.-P.: An Information and Communication Platform Supporting Analytics for Elderly Care.5th International Conference on Information for Ageing Well, Communication Technologies e Health (2019).
[ BibTeX ]

@inproceedings{konak2019information, author = {Konak, Orhan and Freitas Da Cruz, Harry and Thiele, Marvin and Golla, David and Schapranow, Matthieu-P.}, booktitle = {5th International Conference on Information for Ageing Well, Communication Technologies e Health}, keywords = {myown SAHRA fb-boettinger}, title = {An Information and Communication Platform Supporting Analytics for Elderly Care}, year = 2019 }
Freitas da Cruz, H., Pfahringer, B., Schneider, F., Meyer, A., Schapranow, M.-P.: External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?Proceedings of 17th Conference on Artificial Intelligence in Medicine. pp. 191-201 (2019).
[ BibTeX ]

@inproceedings{freitasdacruzprediction, author = {Freitas da Cruz, Harry and Pfahringer, Boris and Schneider, Frederic and Meyer, Alexander and Schapranow, Matthieu-P.}, booktitle = {Proceedings of 17th Conference on Artificial Intelligence in Medicine}, keywords = {BigMedilytics fb-boettinger}, pages = {191-201}, title = {External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?}, year = 2019 }
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).
[ BibTeX ]

@inproceedings{oleynikhpi, author = {Oleynik, Michel and Faessler, Erik and Sasso, Ariane Morassi and Kappattanavar, Arpita and Bergner, Benjamin and da Cruz, Harry Freitas and Sachs, Jan-Philipp and Datta, Suparno and Boettinger, Erwin}, journal = {Notebook papers of the TREC 2018 conference}, keywords = {myown fb-boettinger}, pages = {1-9}, title = {HPI-DHC at TREC 2018 Precision Medicine Track}, year = 2018 }
Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Prediction of Patient Outcomes after Renal Replacement Therapy in Intensive Care.Proceedings of the 3rd International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing (2018).
[ BibTeX ]

@inproceedings{dacruz2018, author = {Freitas da Cruz, Harry and Horschig, Siegfried and Nusshag, Christian and Schapranow, Matthieu-P.}, booktitle = {Proceedings of the 3rd International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing}, keywords = {myown SAHRA fb-boettinger}, title = {Prediction of Patient Outcomes after Renal Replacement Therapy in Intensive Care}, year = 2018 }
Freitas da Cruz, H., Gebhardt, M., Becher, F., Schapranow, M.-P.: Interactive Data Exploration Supporting Elderly Care Planning.Proceedings of the 10th International Conference on eHealth, Telemedicine, and Social Medicine (2018).
[ BibTeX ]

@conference{hcruz2018healthinfo, author = {Freitas da Cruz, Harry and Gebhardt, Marie and Becher, Felix and Schapranow, Matthieu-P.}, booktitle = {Proceedings of the 10th International Conference on eHealth, Telemedicine, and Social Medicine}, keywords = {myown SAHRA fb-boettinger}, title = {Interactive Data Exploration Supporting Elderly Care Planning}, year = 2018 }
Freitas da Cruz, H., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks.Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29-36 (2016).
[ BibTeX ]

@inproceedings{Harry2016a, author = {Freitas da Cruz, Harry and Grasnick, Bastien and Dinger, Henriette and Bier, Frank and Meinel, Christoph}, booktitle = {Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine}, howpublished = {Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine}, keywords = {nephrology}, pages = {29-36}, title = {Early Detection of Acute Kidney Injury with Bayesian Networks}, year = 2016 }
Dobkwicz, M., Jüttner, T., Freitas da Cruz, H., Heidtke, K., Finkenwirth, T., Kunze, S., Hänold, S., Nwankwo, I., Forgó, N., Schröder, C., Graf, N.: Implementation and Demonstration of the p-BioSPRE Metabiobank Platform.Demo at the 15th World Congress on Health and Biomedical Informatics (2015).
[ BibTeX ]

@inproceedings{dobkwicz2015implementation, author = {Dobkwicz, M. and Jüttner, T. and Freitas da Cruz, Harry and Heidtke, K. and Finkenwirth, T. and Kunze, S. and Hänold, S. and Nwankwo, I. and Forgó, N. and Schröder, C. and Graf, N.}, booktitle = {Demo at the 15th World Congress on Health and Biomedical Informatics}, keywords = {myown}, title = {Implementation and Demonstration of the p-BioSPRE Metabiobank Platform}, year = 2015 }

Harry Freitas da Cruz, MBA

Research Assistant, PhD Candidate

Research Topics

Projects

Teaching

Publications

Hasso Plattner Institute for Digital Health at Mount Sinai (HPI·MS)

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