Browse State-of-the-Art › Diabetes Prediction
Diabetes Prediction
8 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Diabetes (1 row) | XBNET | XBNet : An Extremely Boosted Neural Network | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (31 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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1 May 2020 2 repositories listedMachine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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7 Nov 2024 1 repository listedIn democratic societies, electoral systems play a crucial role in translating public preferences into political representation.
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23 Apr 2024 1 repository listedDiabetes is a worldwide health issue affecting millions of people.
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6 Sep 2023 1 repository listedPositive-Unlabeled (PU) Learning is a challenge presented by binary classification problems where there is an abundance of unlabeled data along with a small number of positive data instances, which can be used to…
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25 Jan 2023 1 repository listedDiabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally.
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13 Nov 2022 1 repository listedMachine learning approaches have been proposed and evaluated in the literature for diabetes prediction.
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16 Aug 2021 1 repository listedTo tackle the above challenges, we employ gradient boosting decision trees (GBDT) to handle data heterogeneity and introduce multi-task learning (MTL) to solve data insufficiency.
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9 Jun 2021 1 repository listedNeural networks have proved to be very robust at processing unstructured data like images, text, videos, and audio.
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