Browse State-of-the-Art › Computational Phenotyping
Computational Phenotyping
7 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Computational Phenotyping is the process of transforming the noisy, massive Electronic Health Record (EHR) data into meaningful medical concepts that can be used to predict the risk of disease for an individual, or the response to drug therapy.
Source: Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
7 shown of 7 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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22 Mar 2017 11 repositories listed Syntology ran 4 of 40 samples · 36 unverified · 5 pointer-only (licence)Health care is one of the most exciting frontiers in data mining and machine learning.
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24 Jun 2025 1 repository listedThis paper explores the application of computational phenotyping to leverage Patient-Reported Outcomes (PROs) using a novel supervised coupled matrix-tensor factorization (SCMTF) method, which integrates temporal PROs…
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12 Nov 2020 1 repository listedSuch methods generally require an input tensor describing the inter-modal interactions to be pre-established; however, the correspondence between different modalities (e.
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14 May 2020 1 repository listedIn addition, to further enhance the performance of the method for haze removal, a patch-map-based DCP has been embedded into the network, and this module has been trained with the atmospheric light generator, patch map…
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17 Jun 2019 1 repository listedHealth care is one of the most exciting frontiers in data mining and machine learning.
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1 Jun 2019 1 repository listedConventional patch-based haze removal algorithms (e.
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26 Dec 2016 1 repository listedWith large volumes of health care data comes the research area of computational phenotyping, making use of techniques such as machine learning to describe illnesses and other clinical concepts from the data itself.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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