Evidence map›Paper›PMID 39493643›Full record

ArticleKDD : proceedings. International Conference on Knowledge Discovery & Data Mining2024

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.

Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M Thompson, Jiayu Zhou

Abstract read
In one paragraph

Article in KDD : proceedings. International Conference on Knowledge Discovery & Data Mining, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bao HoangMichigan State University, East Lansing, Michigan, USA.
Yijiang PangMichigan State University, East Lansing, Michigan, USA.
Siqi LiangMichigan State University, East Lansing, Michigan, USA.
Liang ZhanUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Paul M ThompsonUniversity of Southern California, Los Angeles, California, USA.
Jiayu ZhouMichigan State University, East Lansing, Michigan, USA.

Funding

Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior MarkersRF1AG072449 · NIA · MICHIGAN STATE UNIVERSITY · PI DODGE, HIROKO HAYAMA, WANG, FEI · 2021 to 2023
$2.6M
Connecting late-life depression and cognition with statistical physics based connectomics and sparse Frechet regressionRF1MH125928 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LEOW, ALEX, WU, YICHAO · 2021 to 2021
$1.3M
NIA NIH HHS RF1 AG072449NIA NIH HHS U01 AG068057NIMH NIH HHS RF1 MH125928
6 · The paper itself

Abstract

Independent and identically distributed (

Indexed as

Distributed AlgorithmHarmonizationMedical DataNeuroimaging

Identifiers

PMID39493643
PMCPMC11529347

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.