Mae Dr Arron Lacey yn Ddarlithydd mewn Gwyddor Data Iechyd a Phrosesu Iaith Naturiol yn Ysgol Feddygaeth Prifysgol Abertawe. Mae Dr Lacey wedi'i leoli ym Manc Data SAIL yn yr Ysgol Feddygaeth ers 2011 yn dilyn BSc mewn Ffiseg, MScs mewn Cyfrifiadureg a PhD mewn Astudiaethau Gofal Iechyd ym Mhrifysgol Abertawe.
Dr Lacey yw'r arweinydd modiwl ar gyfer y modiwlau canlynol ar hyn o bryd:
PM-272 Cyflwyniad i Wyddor Data Iechyd (BSc Iechyd y Boblogaeth)
PM-365 Cyflwyniad i Ddysgu Peirianyddol mewn Gofal Iechyd (BSc Iechyd y Boblogaeth)
PM-402 Dysgu Peirianyddol mewn Gofal Iechyd (MSc Gwyddor Data Iechyd)
Mae Dr Lacey yn arwain ymchwil Prosesu Iaith Naturiol yn SUMS sydd â'r nod o ddefnyddio amrywiaeth o dechnegau gan gynnwys dysgu peirianyddol, rhaglennu a phensaernïaeth meddalwedd i awtomeiddio'r broses o drosi testunau clinigol anstrwythuredig yn gronfeydd data strwythuredig.
Mae Dr Lacey wedi cyhoeddi'n helaeth gan ddefnyddio Banc Data SAIL ym meysydd clefyd cardiofasgwlaidd ac iechyd poblogaeth epilepsi. Mae gan Dr Lacey ddiddordeb hefyd mewn defnyddio biowybodeg a chasglu data fel mater o drefn tuag at ymchwil feddygaeth fanwl.
Mae Dr Lacey wedi cydweithio â Choleg Kings Llundain, Coleg Imperial Llundain ac ymchwil Prifysgol Rhydychen mewn Prosesu Iaith Naturiol.
This module introduces students to some of the foundational principles, theories and case studies relating to digital health systems and applications within a population health context. It builds upon and develops the students' knowledge of the growing role of digital technologies in Health Systems, and Health and Social Care service provision. The focus of this module will be on the application of technologies for digital health, for example what are the facilitators and barriers to successful digital health initiatives, and why do some digital health projects fail? This module will not include the development of data science or coding skills, but will develop knowledge, understanding and critical thinking concerning digital technologies and healthcare applications, thus there is an emphasis on sociological perspectives.
This module introduces the fundamental principles and methods of health data science. Students will gain an appreciation of the increasingly prominent role of the health data science in research and clinical application.
Mae'r modiwl hwn yn cyflwyno egwyddorion a dulliau sylfaenol gwyddor data iechyd. Bydd myfyrwyr yn meithrin dealltwriaeth o'r rôl gynyddol bwysig sydd gan wyddor data iechyd mewn meysydd ymchwil a chlinigol.
The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project, with guidance from an academic supervisor. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through an oral presentation and dissertation on their research findings and conclusions.
Data scientists working in healthcare are called to deal with problems involving classification and pattern recognition. The objective of this module is to provide the essential theory and practical aspects of widely used machine learning software.
In this module, students will focus on the broader definition of health, advanced therapies and the complexities of patient care. The module will continue to build on the foundational-science-based knowledge and clinical skills developed in Years 1 to 3, and will delve deeper into population health, future medicines, and complex clinical scenarios. This module encourages further development of transferable skills and application of prior knowledge into progressively complex scenarios. This learning will be supported by robust contextualisation of science into pharmacy practice and working with other healthcare professionals (interprofessional education) through multi-disciplinary teaching & learning.
, with Simon Thompson, Ronan Lyons, £144,942
, with Simon Thompson, Ronan Lyons , £60,889
2019 - Presennol
2017 - Presennol
2011 - Presennol
2019 - Presennol
2018
Prifysgol Rhydychen
