Summary of Bayesian Network Modeling Of Causal Influence Within Cognitive Domains and Clinical Dementia Severity Ratings For Western and Indian Cohorts, by Wupadrasta Santosh Kumar et al.
Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts
by Wupadrasta Santosh Kumar, Sayali Rajendra Bhutare, Neelam Sinha, Thomas Gregor Issac
First submitted to arxiv on: 16 Aug 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC); Applications (stat.AP)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study explores the causal relationships between Clinical Dementia Ratings (CDR) and its six domain scores across two distinct aging datasets: ADNI and LASI. It uses Bayesian network models to analyze dependencies among domain scores and their influence on global CDR, revealing differences in causal relationships and edge strengths between Western and Indian populations. The analysis highlights a stronger dependency of CDR scores on memory functions in both datasets, but with significant variations in edge strengths and node degrees. This study aims to provide insights that could inform targeted interventions and improve understanding of dementia across diverse demographic contexts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper investigates how different factors affect someone’s dementia rating. It looks at two groups: people from Western countries like the US, and people from India. The researchers used a special kind of computer model called Bayesian networks to see which factors are connected and how they affect each other. They found that memory is a key factor in both groups, but it’s more important in one group than the other. This study helps us understand why dementia develops differently in different parts of the world. |
Keywords
* Artificial intelligence * Bayesian network
