Top Tweets for #MQDataScience
Had a great time attending a fascinating workshop on NLPs followed by a data science meeting discussing the strengths and challenges of data linkage @DatamindUK @MQmentalhealth
#MQDataScience Thanks @tom_metherell for capturing me and my poster! Congrats to all presenters!
Now we have Rob Stewart @DatamindUK with a discussion titled, 'The Devil's in the Detail: Achieving Genuinely 'Big' Clinical Data' #MQDataScience
On the stand now is Dr. Mariana Pinto da Costa, inspiring early career researchers. Such great advice!💡 #MentalHealthEquity #DataScience #Innovation #MQDataScience
Closing this section is @AmandaMarch7 from @SwanseaUni presenting an e-cohort study on self-harm contacts across healthcare settings in Wales using routinely collected linked healthcare data.#SelfHarm #HealthcareData #MQDataScience
@ShareUKResearch @ProfAnnJohn
🔍 Norah Alothman from @KingsCollegeLon is ascertaining mental health care coordination episodes by social work professionals and their association with recorded symptom profiles. Important research for improving patient outcomes! #SocialWork #MentalHealth #MQDataScience
Great insights from Nicola on building trust around patient data. Transparency and patient-first thinking are essential in mental health data science! #PatientTrust #MentalHealth @MQmentalhealth #MQDataScience
Thank you to @DatamindUK all of the speakers and everyone who attended the #MQDataScience event this week.
A big thank you to all our speakers, ECR’s, chairs, and attendees for joining us and @MQmentalhealth yesterday! The conference will be available soon on DATAMIND's learning hub. #MQDataScience
"We need to promote the methods of research, not just the outcomes."
#datascience
A big thank you to all our speakers, ECR’s, chairs, and attendees for joining us and @MQmentalhealth yesterday! The conference will be available soon on DATAMIND's learning hub. #MQDataScience
"We need to promote the methods of research, not just the outcomes."
#datascience
Fantastic way to end the day with the Dermot O’Reilly Memorial Prize presented by @Aideen_QUB. 🏆awarded to Margaret Diogu @SwanseaUni #MentalHealthResearch #MQDataScience
Time to dive into the power of data with @JayDasMunshi, unlocking insights to tackle #mentalhealth inequalities through innovative partnerships & methods. #MQDataScience
Panel discussion time! 🌟 Explore "Getting the social perspective into Mental Health Data Science" with @_andy_boyd, @JayDasMunshi, @Aideen_QUB, @drjameswalters, and James Downs. #PanelDiscussion #MentalHealthDataScience #MQDataScience
Next on the agenda is @Aideen_QUB Exploring the efficacy of administrative data in research into mental ill-health in underserved groups: lessons from Northern Ireland" #MentalHealthResearch #AdministrativeData #MQDataScience
.@tom_metherell from @CLScohorts explores 'Associations between early-life mental health and abnormal sleep duration in midlife: findings from a prospective cohort study in Great Britain'. #MQDataScience
.@PKontari from @AkriviaHealth presents 'Psychiatric multimorbidity and dementia risk: a 23-year cohort study using Akrivia Health data'. Key message: Adult psychiatric disorders independently raise dementia risk, yet the impact of multimorbidity remains uncertain #MQDataScience
Nabil Isaac Ajali Hernández from @ULPGC is now presenting on a cost-effective biometric sensor approach for emotion detection. The key message highlights the vital importance of emotion classification in healthcare. #MQDataScience
Next up, Margaret Diogu from @SwanseaUni is discussing the long-term mental health outcome of children bereaved of a household’s members death by suicide. #MQDataScience
Up next, Katrina Davis from @KingsCollegeLon presents "Physical health comorbidity data in people with dementia extracted by natural language processing: internal and external comparison. A CRIS-SLaM-LDN study. #MQDataScience
@f_tseliou from @cardiffuni presents on "Special education needs and trajectories of formal school exclusions: a data-linkage study". Insight: Students with behavioural & mental health special educational needs have higher early KS exclusion rates. #MQDataScience
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