text:   High-resolution ICU Data",5,"['Happy to share ""HiRID-ICU-Benchmark"" (HiB), a new benchmark for patient monitoring tasks in the ICU.\n\nFrom the HiRID database, we define 6 diverse and clinically relevant tasks for +40K patients and +15M time-points.\n\npaper: <LINK>\ncode: <LINK> <LINK>', 'We provide an easy-to-use pipeline for data processing and labels extraction. This shared and reproducible pipeline will improve the comparison of future works. https://t.co/eWhF3cHT7P', 'This benchmark compares methods on a diverse set of clinically relevant tasks as summarized below. https://t.co/HlAXrr5GEL', 'Finally, we compared recent sequence DL architectures with conventional ML algorithms. In line with the original HiRID paper, we observe that lightGBM with hand-extracted features outperforms all DL methods. https://t.co/X55CIg5hqK', 'This work is the result of a great collaboration with Rita Kuznetsova, Marc Zimmermann, @mhueser_, @xinruilyu under Martin Faltys, and @gxr supervision. \n\nFeel free to reach out during NeurIPS Datasets and Benchmarks poster session 4']",21,11,971