Top Tweets for #MScHealthDataScience
We will be at @RSSAnnualConf next week; I will speak in the Professional Development session - funding applications; @stephril3y will be at the RSS prize winner session - best YSM presentation; and Michael Gulley will present his #MscHealthDataScience and #Statistics project
Our #NIHR pre-doctoral fellow and #MScHealthDataScience student Josh Gray @plym_math @PlymUni is presenting a poster on his MSc project at @RoyalStatSoc conference at Harrogate #RSS2023Conf
A shiny jupyter notebook on using machine leaning for healthcare written by Josh Gray, our #MScHealthDataScience student
https://t.co/atnejG21KL
Following the success of our Health Data Science workshop last November, we are excited to announce the next workshop will be taking place on π
June 26thπ
#MScHealthDataScience #DataScience #EPSRC @plym_math @PlymUni
Further informationπ
https://t.co/3JYBnqyYB1
Truly enthused by Brandon and Joe @RCHTWeCare's presentation on health data science in real world problems - great to see a full house attendance, although I didn't manage to get everyone in the photos #MScHealthDataScience @plym_math @RSS_SouthWest
We are not in the photos, but delighted to have visited @RCHTWeCare today with Mariam Pirashvili and @dr_lauren_a to discuss our #MScHealthDataScience students' work placement projects, glad to see @PlymUni's footprints on site
Our #MScHealthDataScience @plym_math students are visiting their project co-supervisors at @RCHTWeCare, they will be working on real-world projects using data science approach to improve health services for patient and public benefit
Birlliant guest lecture on survey methodology by @EileenIrvin1 @IpsosUK for our #MScHealthDataScience students
Causal inference lecture 2: use propensity scores as a basis for stratifying, matching or weighting in observational studies in presence of multiple confounders #MScHealthDataScience
Today's session on #MScHealthDataScience is causal inference - we started with Simpson's paradox, estimating the stratum specific causal effect and the total causal effect
Today we have Dr Jo Hosking from @Pen_CTU to talk to our students about preparing a statistical analysis plan for trials and observational studies in the real world
#MScHealthDataScience
Enjoyed teaching survival analysis to our #MScHealthDataScience students today, one of my favourite warm-up questions today is what do you see as the likely median survival time based on the Kaplan Meier curve below and the reasoning behind it
What a fantastic team to work together with, thanks to the support from #EPSRC IAA, and thanks to our Head of School @ProfessorBelton for introducing today's workshop in #HealthDataScience with industry
#HDRPlym #MScHealthDataScience @plym_math @SamanthaJPrime
Thanks to @MikeTrebilcock for presenting at the @PlymUni IAA Health Data Science Workshop to support our inaugural #MScHealthDataScience program & for highlighting important opportunities for #HDRPlym students to work with @tango3UK. #defibrillator #AED @EPIC_eHealth
Several academic staff from the University of Plymouth now take on the challenge of summarising their research in only 3 minutes! #HDRPlym #MScHealthDataScience
Thanks to Mark of @Gendiushealth for presenting at the @PlymUni @plym_math IAA Health Data Science Workshop between industry-academic-health service partners & opportunities for #MScHealthDataScience students to support the important work you are doing
@PlymUniCHT @EPIC_eHealth
Mark Edge from Gendius speaking about prediction models to measure and improve outcomes for patients with diabetes #HDRPlym #MScHealthDataScience
Vincent Drach and Matthew Craven of @plym_math introduced us to the High Performance Computing resources, and the Big Data Group @PlymUni #HDRPlym #MScHealthDataScience
Thanks to Sumeet from @CiscoUKI for offering such diverse opportunities for @PlymUni #MScHealthDataScience #HDRPlym students - great to have you as a partner in the South West.
Cisco's Sumeet Bhatia introduces us to the work that Cisco does, and highlights potential research projects with the statement "Data Science Research is Key!" #HDRPlym #MScHealthDataScience
Only 1-in-10 people survive an out of hospital cardiac arrest. >200 community defibrillators have been installed across Cornwall, and Mike Trebilcock and Tony Edwards (Tango3) would like to assess the impact of installing these defibrillators #HDRPlym #MscHealthDataScience
Mark Edge from Gendius speaking about prediction models to measure and improve outcomes for patients with diabetes #HDRPlym #MScHealthDataScience
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