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Hi 👋, I am a PhD candidate in AI in healthcare at the Hasso Plattner Institute. I am a Computer Scientist and Data Scientist by education. I specialize in using predictive modelling methods to derive insights from healthcare data, thereby prolonging the life of patients. I am interested in applying the ml methods to improve healthcare.

TLDR:

  • 🧠 AI in Health Researcher
  • 🧑‍🎓 Ph.D. Candidate
  • 🏛️ Hasso Plattner Institute
  • 🏠 Berlin, Germany

Robin van de Water's Projects

anhp-andtt icon anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

auton-survival icon auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

cass-propel icon cass-propel

Complete evaluation of traditional "SK-learn like" machine learning models for post-operative complications This repository serves to evaluate the performance of traditional machine learning models available from Scikit-learn for the prediction of post-operative complications.

eventstreamgpt icon eventstreamgpt

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

guidatafarm icon guidatafarm

🧑‍🌾Expand your Training Limits! Human-in-the-Loop guided Training Data Generation for ML-based Data Management

recipys icon recipys

🥧ReciPys: easily define and execute preprocessing and feature engineering steps on Pandas dataframes.

rvandewatersite icon rvandewatersite

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

scikit-optimize icon scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface. Includes latest fixes for NumPy 1.24 compatibility

xmen icon xmen

✖️MEN - A Modular Toolkit for Cross-Lingual Medical Entity Normalization

yaib icon yaib

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

yaib-models icon yaib-models

🧠Models trained for the publication of Yet Another ICU Benchmark

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