Time-llm: Time series forecasting by reprogramming large language models

M **, S Wang, L Ma, Z Chu, JY Zhang, X Shi… - ar**%20review.pdf" data-clk="hl=ja&sa=T&oi=gga&ct=gga&cd=7&d=8819978703777311765&ei=hcGvZ92JM5bO6rQP6tvC0A0" data-clk-atid="FSwonebbZnoJ" target="_blank">[PDF] ucl.ac.uk

[PDF][PDF] Machine learning in transfusion medicine: A sco** review

S Maynard, J Farrington, S Alimam, H Evans, K Li… - …, 2023 - discovery.ucl.ac.uk
Blood transfusion is a routine medical procedure in hospitals with over 2 million blood
products transfused in the UK every year at a cost of over£ 300 million and a median …

Machine learning applications and challenges in graft-versus-host disease: a sco** review

AH Mushtaq, A Shafqat, HT Salah… - Current Opinion in …, 2023 - journals.lww.com
To capitalize on these promising advancements, there is a need for large-scale, multicenter
collaborations to develop generalizable ML models. Furthermore, addressing pertinent …

Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives

AA Verma, P Trbovich, M Mamdani… - BMJ Quality & …, 2024 - qualitysafety.bmj.com
Machine learning (ML) solutions are increasingly entering healthcare. They are complex,
sociotechnical systems that include data inputs, ML models, technical infrastructure and …