Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study

Original language	English
Number of pages	1
Publication status	Published - 31 Oct 2023
Event	Scotland's Health Research and Innovation Conference - Queen Elizabeth University Hospital, Glasgow, United Kingdom Duration: 31 Oct 2023 → 31 Oct 2023 https://www.nhsresearchscotland.org.uk/conference-2023

Conference

Conference	Scotland's Health Research and Innovation Conference
Country/Territory	United Kingdom
City	Glasgow
Period	31/10/23 → 31/10/23
Other	Conference celebrates 50 years of the Chief Scientist Office of Scottish Government
Internet address	https://www.nhsresearchscotland.org.uk/conference-2023

Access to Document

• https://api.ltb.io/show/ABYHB #eposters #CSOat50

Other files and links

• Conference information

Projects

• 1 Finished

Projects per year

• Omics-Based Strategies for Improved Diagnosis and Treatment of Endocrine Hypertension (ENSAT-HT) (Joint with Inserm, University of Torino, University of Padua, University of Glasgow, University of Birmingham, Radboud University Medical Centre, SleekIT Limited and Inserm Transfert)

  Connell, J. (Investigator), Doney, A. (Investigator), Jefferson, E. (Investigator) & Zhou, K. (Investigator)

  COMMISSION OF THE EUROPEAN COMMUNITIES

  1/05/15 → 31/12/21

  Project: Research

  • Endocrine Hypertension 100%
  • Primary Hypertension 88%
  • Machine Learning 64%
  • Hypertension Subtypes 55%
  • Cushing's Syndrome 52%

Equipment

• Health Informatics Centre

  Health and Clinical Services

  Facility/equipment: Facility

  • Type 2 Diabetes Mellitus (T2DM) 100%
  • Maturity Onset Diabetes of the Young 67%
  • Scotland 66%
  • Tayside 47%
  • Diabetes 43%

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Reel, P. S., Reel, S., Cole, C., Zennaro, M. C., & Jefferson, E. (2023). Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study. Poster session presented at Scotland's Health Research and Innovation Conference, Glasgow, United Kingdom. https://api.ltb.io/show/ABYHB #eposters #CSOat50

Reel, Parminder Singh ; Reel, Smarti ; Cole, Christian et al. / Classifying hypertension subtypes using multi-omics : A multi-centre machine learning based retrospective study. Poster session presented at Scotland's Health Research and Innovation Conference, Glasgow, United Kingdom.1 p.

@conference{1d2e1c65c85d4440805c3e184a05eb68,

title = "Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study",

author = "Reel, {Parminder Singh} and Smarti Reel and Christian Cole and Zennaro, {Maria Christina} and Emily Jefferson",

year = "2023",

month = oct,

day = "31",

language = "English",

note = "Scotland's Health Research and Innovation Conference ; Conference date: 31-10-2023 Through 31-10-2023",

url = "https://www.nhsresearchscotland.org.uk/conference-2023",

}

Reel, PS, Reel, S, Cole, C, Zennaro, MC & Jefferson, E 2023, 'Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study', Scotland's Health Research and Innovation Conference, Glasgow, United Kingdom, 31/10/23 - 31/10/23. <https://api.ltb.io/show/ABYHB #eposters #CSOat50>

Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study. / Reel, Parminder Singh; Reel, Smarti; Cole, Christian et al.
2023. Poster session presented at Scotland's Health Research and Innovation Conference, Glasgow, United Kingdom.

Research output: Contribution to conference › Poster › peer-review

TY - CONF

T1 - Classifying hypertension subtypes using multi-omics

T2 - Scotland's Health Research and Innovation Conference

AU - Reel, Parminder Singh

AU - Reel, Smarti

AU - Cole, Christian

AU - Zennaro, Maria Christina

AU - Jefferson, Emily

PY - 2023/10/31

Y1 - 2023/10/31

UR - https://www.nhsresearchscotland.org.uk/conference-2023

M3 - Poster

Y2 - 31 October 2023 through 31 October 2023

ER -

Reel PS, Reel S, Cole C, Zennaro MC, Jefferson E. Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study. 2023. Poster session presented at Scotland's Health Research and Innovation Conference, Glasgow, United Kingdom.