Vaci N - Search Results

1

Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records.

Li Z, Kormilitzin A, Fernandes M, Vaci N, Liu Q, Newby D, Goodday S, Smith T, Nevado-Holgado AJ, Winchester L. Li Z, et al. Among authors: vaci n. Int J Med Inform. 2022 Apr;160:104704. doi: 10.1016/j.ijmedinf.2022.104704. Epub 2022 Jan 24. Int J Med Inform. 2022. PMID: 35168089 Free PMC article.

2

Maximizing the use of social and behavioural information from secondary care mental health electronic health records.

Goodday SM, Kormilitzin A, Vaci N, Liu Q, Cipriani A, Smith T, Nevado-Holgado A. Goodday SM, et al. Among authors: vaci n. J Biomed Inform. 2020 Jul;107:103429. doi: 10.1016/j.jbi.2020.103429. Epub 2020 May 5. J Biomed Inform. 2020. PMID: 32387393 Free article.

3

Med7: A transferable clinical natural language processing model for electronic health records.

Kormilitzin A, Vaci N, Liu Q, Nevado-Holgado A. Kormilitzin A, et al. Among authors: vaci n. Artif Intell Med. 2021 Aug;118:102086. doi: 10.1016/j.artmed.2021.102086. Epub 2021 May 18. Artif Intell Med. 2021. PMID: 34412834

4

Natural language processing for structuring clinical text data on depression using UK-CRIS.

Vaci N, Liu Q, Kormilitzin A, De Crescenzo F, Kurtulmus A, Harvey J, O'Dell B, Innocent S, Tomlinson A, Cipriani A, Nevado-Holgado A. Vaci N, et al. Evid Based Ment Health. 2020 Feb;23(1):21-26. doi: 10.1136/ebmental-2019-300134. Evid Based Ment Health. 2020. PMID: 32046989 Free PMC article.

5

Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS).

Senior M, Burghart M, Yu R, Kormilitzin A, Liu Q, Vaci N, Nevado-Holgado A, Pandit S, Zlodre J, Fazel S. Senior M, et al. Among authors: vaci n. Front Psychiatry. 2020 Apr 15;11:268. doi: 10.3389/fpsyt.2020.00268. eCollection 2020. Front Psychiatry. 2020. PMID: 32351413 Free PMC article.

6

Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model.

Liu Q, Vaci N, Koychev I, Kormilitzin A, Li Z, Cipriani A, Nevado-Holgado A. Liu Q, et al. Among authors: vaci n. BMC Med. 2022 Feb 1;20(1):45. doi: 10.1186/s12916-022-02250-2. BMC Med. 2022. PMID: 35101059 Free PMC article.

7

Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study.

Vaci N, Koychev I, Kim CH, Kormilitzin A, Liu Q, Lucas C, Dehghan A, Nenadic G, Nevado-Holgado A. Vaci N, et al. Br J Psychiatry. 2021 May;218(5):261-267. doi: 10.1192/bjp.2020.136. Br J Psychiatry. 2021. PMID: 32713359

8

COVID-19 partial school closures and mental health problems: A cross-sectional survey of 11,000 adolescents to determine those most at risk.

Mansfield KL, Newby D, Soneson E, Vaci N, Jindra C, Geulayov G, Gallacher J, Fazel M. Mansfield KL, et al. Among authors: vaci n. JCPP Adv. 2021 May;1(2):e12021. doi: 10.1002/jcv2.12021. Epub 2021 Jul 20. JCPP Adv. 2021. PMID: 34514466 Free PMC article.

9

Prediction of rapid amyloid and phosphorylated‐Tau accumulation in cognitively healthy individuals.

Koychev I, Vaci N, Bilgel M, An Y, Muniz GT, Wong DF, Gallacher J, Mogekhar A, Albert M, Resnick SM. Koychev I, et al. Among authors: vaci n. Alzheimers Dement (Amst). 2020 Mar 22;12(1):e12019. doi: 10.1002/dad2.12019. eCollection 2020. Alzheimers Dement (Amst). 2020. PMID: 32211504 Free PMC article.

10

Real-world evidence in Alzheimer's disease: The ROADMAP Data Cube.

Janssen O, Vos SJB, García-Negredo G, Tochel C, Gustavsson A, Smith M, Ly A, Nelson M, Baldwin H, Sudlow C, Bexelius C, Jindra C, Vaci N, Bauermeister S, Gallacher J, Ponjoan A, Dufouil C, Garre Olmo J, Pedersen L, Skoog I, Hottgenroth A, Visser PJ, van der Lei J, Diaz C. Janssen O, et al. Among authors: vaci n. Alzheimers Dement. 2020 Mar;16(3):461-471. doi: 10.1016/j.jalz.2019.09.087. Epub 2020 Jan 6. Alzheimers Dement. 2020. PMID: 32157788

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