[2305.14961] Deep Studying for Survival Evaluation: A Evaluation


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Summary:The inflow of deep studying (DL) strategies into the sphere of survival evaluation lately has led to substantial methodological progress; as an example, studying from unstructured or high-dimensional information resembling pictures, textual content or omics information. On this work, we conduct a complete systematic evaluation of DL-based strategies for time-to-event evaluation, characterizing them in response to each survival- and DL-related attributes. In abstract, the reviewed strategies usually tackle solely a small subset of duties related to time-to-event information – e.g., single-risk right-censored information – and neglect to include extra advanced settings. Our findings are summarized in an editable, open-source, interactive desk: this https URL. As this analysis space is advancing quickly, we encourage neighborhood contribution with the intention to preserve this database updated.

Submission historical past

From: Simon Wiegrebe [view email]
Wed, 24 Might 2023 09:56:20 UTC (1,317 KB)
Wed, 12 Jul 2023 13:17:11 UTC (914 KB)
Thu, 21 Dec 2023 14:02:07 UTC (2,373 KB)
Thu, 22 Feb 2024 08:17:17 UTC (2,407 KB)

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