Velupillai S - Search Results

1

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach.

Chaturvedi J, Velupillai S, Stewart R, Roberts A. Chaturvedi J, et al. Among authors: velupillai s. Stud Health Technol Inform. 2024 Jan 25;310:695-699. doi: 10.3233/SHTI231054. Stud Health Technol Inform. 2024. PMID: 38269898

2

Development of a Knowledge Graph Embeddings Model for Pain.

Chaturvedi J, Wang T, Velupillai S, Stewart R, Roberts A. Chaturvedi J, et al. Among authors: velupillai s. AMIA Annu Symp Proc. 2024 Jan 11;2023:299-308. eCollection 2023. AMIA Annu Symp Proc. 2024. PMID: 38222382 Free PMC article.

3

Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records.

Dutta R, Gkotsis G, Velupillai SU, Downs J, Roberts A, Stewart R, Hotopf M. Dutta R, et al. Among authors: velupillai su. Front Psychiatry. 2023 Dec 11;14:1217649. doi: 10.3389/fpsyt.2023.1217649. eCollection 2023. Front Psychiatry. 2023. PMID: 38152362 Free PMC article.

4

Development of a Corpus Annotated With Mentions of Pain in Mental Health Records: Natural Language Processing Approach.

Chaturvedi J, Chance N, Mirza L, Vernugopan V, Velupillai S, Stewart R, Roberts A. Chaturvedi J, et al. Among authors: velupillai s. JMIR Form Res. 2023 Jun 26;7:e45849. doi: 10.2196/45849. JMIR Form Res. 2023. PMID: 37358897 Free PMC article.

5

Emotional and behavioral outcomes among youths with mental disorders during the first Covid lockdown and school closures in England: a large clinical population study using health care record integrated surveys.

Parlatini V, Frangou L, Zhang S, Epstein S, Morris A, Grant C, Zalewski L, Jewell A, Velupillai S, Simonoff E, Downs J. Parlatini V, et al. Among authors: velupillai s. Soc Psychiatry Psychiatr Epidemiol. 2024 Jan;59(1):175-186. doi: 10.1007/s00127-023-02517-w. Epub 2023 Jun 23. Soc Psychiatry Psychiatr Epidemiol. 2024. PMID: 37353579 Free PMC article.

6

Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records.

Cusick M, Velupillai S, Downs J, Campion TR Jr, Sholle ET, Dutta R, Pathak J. Cusick M, et al. Among authors: velupillai s. J Affect Disord Rep. 2022 Dec;10:100430. doi: 10.1016/j.jadr.2022.100430. Epub 2022 Oct 25. J Affect Disord Rep. 2022. PMID: 36644339 Free PMC article.

7

Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data.

Ter-Minassian L, Viani N, Wickersham A, Cross L, Stewart R, Velupillai S, Downs J. Ter-Minassian L, et al. Among authors: velupillai s. BMJ Open. 2022 Dec 5;12(12):e058058. doi: 10.1136/bmjopen-2021-058058. BMJ Open. 2022. PMID: 36576182 Free PMC article.

8

Evaluating physical urban features in several mental illnesses using electronic health record data.

Mahabadi Z, Mahabadi M, Velupillai S, Roberts A, McGuire P, Ibrahim Z, Patel R. Mahabadi Z, et al. Among authors: velupillai s. Front Digit Health. 2022 Sep 7;4:874237. doi: 10.3389/fdgth.2022.874237. eCollection 2022. Front Digit Health. 2022. PMID: 36158997 Free PMC article.

9

Autism spectrum disorders as a risk factor for adolescent self-harm: a retrospective cohort study of 113,286 young people in the UK.

Widnall E, Epstein S, Polling C, Velupillai S, Jewell A, Dutta R, Simonoff E, Stewart R, Gilbert R, Ford T, Hotopf M, Hayes RD, Downs J. Widnall E, et al. Among authors: velupillai s. BMC Med. 2022 Apr 29;20(1):137. doi: 10.1186/s12916-022-02329-w. BMC Med. 2022. PMID: 35484575 Free PMC article.

10

Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.

Botelle R, Bhavsar V, Kadra-Scalzo G, Mascio A, Williams MV, Roberts A, Velupillai S, Stewart R. Botelle R, et al. Among authors: velupillai s. BMJ Open. 2022 Feb 16;12(2):e052911. doi: 10.1136/bmjopen-2021-052911. BMJ Open. 2022. PMID: 35172999 Free PMC article.

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