Principal Investigator | Senior Data Scientist @EdinburghUni @EdinUniCVS #MedicalStatistics #MachineLearning #Cardiology #R #rstats #ShinyApps
Edinburgh, Scotland
Joined May 2019
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📢Calculating the CoDE-ACS score with the online app
📱R-Shiny app: decision-support.shinyapps.i…
📑@NatureMedicine paper: nature.com/articles/s41591-0…
@HighSTEACS @KuanKenLee @J_Boeddinghaus
#CoDEACS #rstats #r #shiny #MachineLearning #DataScience #Cardiology
Dimitrios Doudesis, PhD retweeted
We still have places on our fully online #HealthDataScience course led by @DDoudesis @EdinUniUsher starting on 6 January 2025. Treat yourself to an early xmas present. Apply now and develop your #datascience skills using #R. Flyer with full details below, apply using the QR code. – at Edinburgh, Scotland
Dimitrios Doudesis, PhD retweeted
Our recently published paper in @BioMedCentral Health Services Research looks into the use of routine healthcare data to understand rehabilitation delivery in @NHS_Lothian (Edinburgh) hospitals during the COVID-19 pandemic.
Article link: doi.org/10.1186/s12913-024-1…
📢 Fully Funded #PhD in AI & Precision Medicine📢
Passionate about using AI to transform healthcare? Join us at the prestigious @PrecisionMedPhD at @EdinburghUni!
📧 Reach out for a chat [email protected]
🔗 Details: usher.ed.ac.uk/precision-med…
@HighSTEACS @KuanKenLee
Dimitrios Doudesis, PhD retweeted
Join this week’s CVS Seminar to learn how routinely collected data can be used for cardiac research!
🗓️ 9 October, 12:00–13:00
Wellcome Auditorium, QMRI @EdinburghBQ
Join on Teams ➡️ edin.ac/3zJj2pi
Dimitrios Doudesis, PhD retweeted
Very glad to share our latest manuscript published in @LancetDigitalH
Fantastic effort from all APACE Investigators @J_Boeddinghaus
@luca_koechlin @thomas_nest @zimmermann_to @PaoloEM91 @OmiroOscar @fjjms @CRIBasel @UniSpitalBasel
thelancet.com/journals/landi…
European Heart Journal’s top contributing institutions: the Centre for Cardiovascular Science at the University of Edinburgh, Scotland academic.oup.com/eurheartj/a…
Dimitrios Doudesis, PhD retweeted
#ICYMI: Machine learning for myocardial infarction @CRIBasel @HighSTEACS @J_Boeddinghaus @DDoudesis @LopezAyalaP
#OriginalReseaech: A novel machine learning tool, CoDE-ACS, can improve early diagnosis of myocardial infarction and can reduce unnecessary testing and hospital admission. ahajournals.org/doi/10.1161/…
Dimitrios Doudesis, PhD retweeted
The @HighSTEACS lab is recruiting! looking for an enthusiastic & talented individual to join our #biomarker lab bit.ly/3tKlGEc
@EdinUniCVS
Job advert: rb.gy/m8umgw Closing date 1st April 2024 #jobs #laboratory #technician #biomedicalscientist
Please Share!
Dimitrios Doudesis, PhD retweeted
The terms power, type 1 error and type 2 error are not relevant in sample size calculations for prediction model development studies
Dimitrios Doudesis, PhD retweeted
⭐️Senior Data Scientist Dimitrios Doudesis (@DDoudesis) shares insights on Data Science courses provided by @EdinUniUsher and the future of #healthcare in the #DDIAnnualReport2023
🔗ddiannualreport23.com/wwwddi…
#ESESCRD | #ESESCityRegionDealUpdate | #DDI5YearsofDelivery
Great annual report from @DataCapitalEd and an honour for the Health Data Science course to be selected as one of the impactful case studies.
You can find out more about the course and how to apply here ed.ac.uk/bayes/skills-and-ta….
✨Dive into the #DDIAnnualReport2023✨ Explore 20 impactful case studies, cutting-edge solutions, and DDI KPIs.
Uncover the transformative power of #data and #DDI5YearsofDelivery
Click here to read the full report: lnkd.in/eJRthwgV
Dimitrios Doudesis, PhD retweeted
Exciting breakthrough from @EdinburghUni! A groundbreaking trial reveals a new blood test can improve diagnosis for 1 in 5 A&E patients with suspected heart attacks.
bhf.org.uk/what-we-do/news-f…
Dimitrios Doudesis, PhD retweeted
Perhaps detecting all those non-ACS troponin elevations is benefitting our patients after all...?
5-year outcomes of the HighSTEACS trial published today in @bmj_latest
bmj.com/content/383/bmj-2023…
@HighSTEACS @DDoudesis
@BHFScotland @dataloch
1/n
Dimitrios Doudesis, PhD retweeted
Enjoyed sharing and discussing at #AHA23 emerging opportunities addressing machine learning for the prediction of acute MI: there are multiple avenues worth exploring with biomarkers, ECG, and imaging but we’ll need well curated data, validation, and RCTs. – at Philadelphia, PA
Dimitrios Doudesis, PhD retweeted
𝗔𝘁 𝘁𝗶𝗺𝗲𝘀, 𝗶𝘁 𝗰𝗮𝗻 𝗯𝗲 𝗼𝗯𝘃𝗶𝗼𝘂𝘀 𝘄𝗵𝗲𝗻 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝗶𝘀 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘁𝗼 𝗰𝗼𝗽𝗲, 𝗯𝘂𝘁 𝘀𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝘁𝗵𝗲 𝘀𝗶𝗴𝗻𝘀 𝗮𝗿𝗲 𝗵𝗮𝗿𝗱𝗲𝗿 𝘁𝗼 𝘀𝗽𝗼𝘁.
Check in on those around you.
#WorldMentalHealthDay | #YouAreNotAlone | @samaritans
It was a great honour to have been selected and present at The Bernard and Joan Marshall Early Career Investigator session at @BSCResearch
I can now proudly say I've checked off one of my big dreams: presenting at the University of Oxford! ✅
Dimitrios Doudesis, PhD retweeted
Don't forget to join our 1st september #ESCwebinar after #ESCCongress
Machine learning for ACS assessment: state of the art
📌Role in ACS diagnosis
📌early/reliable detection #myocardialinfarction
📌 #AI pitfalls & future role #machinelearning
Register: esc365.escardio.org/event/10…
Dimitrios Doudesis, PhD retweeted
PROPOSAL for a new clinical classification of acute myocardial infarction
Published online today @NatureMedicine
Open access link: rdcu.be/dkvtT
#ESC2023 🧵[1/10]
Dimitrios Doudesis, PhD retweeted
Excellent kick-off of the #ESCCongress with @chapdoc1 discussing risk prediction by machines including data from CoDE-ACS shorturl.at/qsw04 and CoDE-HF shorturl.at/dfknO @HighSTEACS @KuanKenLee @DDoudesis – at The Netherlands
