# Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnosis-of-dementia-by-machine-learning-methods-in-epidemiological-studies-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. R. Bhagyashree,K. Nagaraj,Martin Prince,Caroline Fall,Murali Krishna |
| Citations | 69 |
| DOI | 10.1007/s00127-017-1410-0 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6138240 |
| OpenAlex ID | https://openalex.org/W2735368442 |
| PMID | 28698926 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Murali Krishna](https://scholariq.org/researchers/murali-krishna/)

## Paper journal

- [Social Psychiatry and Psychiatric Epidemiology](https://scholariq.org/journals/social-psychiatry-and-psychiatric-epidemiology/)

## Paper primary topic

- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)

## Paper topics

- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)
- [Biological Research and Disease Studies](https://scholariq.org/topics/biological-research-and-disease-studies/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.