AI-based prediction of SPPB scores using questionnaires of abilities: findings from the national health and aging trends study

The proposed AI methods enable prediction of SPPB component scores, supporting indirect functional assessment when SPPB testing is not feasible. These tools can help reduce unnecessary clinical burden and cost by guiding SPPB administration decisions.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-27
DOI
https://doi.org/10.1186/s12911-025-03263-6
Primary Topic
Blood properties and coagulation
Type
article
Field-Weighted Citation Impact
0.00

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article

AI-based prediction of SPPB scores using questionnaires of abilities: findings from the national health and aging trends study

Hyun Sik Kim, Jung Woo Lee
BMC Medical Informatics and Decision Making
Blood properties and coagulation
article

AI-based prediction of SPPB scores using questionnaires of abilities: findings from the national health and aging trends study

Hyun Sik Kim, Jung Woo Lee
article en

Abstract

The proposed AI methods enable prediction of SPPB component scores, supporting indirect functional assessment when SPPB testing is not feasible. These tools can help reduce unnecessary clinical burden and cost by guiding SPPB administration decisions.

BMC Medical Informatics and Decision MakingVol. 25(1)
Yonsei University (KR), Chuncheon National Hospital (KR)
Ministry of SMEs and Startups, Office of Behavioral and Social Sciences Research
Openalex Percentile: Top 45%
Blood properties and coagulation
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