Claims

Prior ANN approaches to diagnostic classification produced unstable and unappreciated estimation unless great care was taken

Claim · All claims
Evidence · 1 study · design r2 · q1
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2024: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? ANN methods previously proposed for diagnostic classification produced very unstable and unappreciated estimation unless a great deal of care was taken. → Kang Xue 2021

Evidence

Kang Xue 2021

Kang Xue, Laine Bradshaw. (2021). A semi-supervised learning-based diagnostic classification method using artificial neural networks. Frontiers in Psychology, 11, 3992. https://www.frontiersin.org/journals/psychology doi:10.3389/fpsyg.2020.618336

q1 · i? · design · r2

The article states this as background about previously proposed ANN approaches, attributed to "some research studies"; no supporting statistics are printed in the available text.

"However, the ANNs methods produced very unstable and unappreciated estimation unless a great deal of care was taken."

Discussion

Page metadata
Field Value
type claim
id prior-ann-cdm-unstable-estimation
title Prior ANN approaches to diagnostic classification produced unstable and unappreciated estimation unless great care was taken
description Prior ANN approaches to diagnostic classification produced unstable and unappreciated estimation unless great care was taken
status review
evidence_strength weak
newest_evidence 2021
recheck_by 2024
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — kang-xue-2021

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