Retracted: The Understanding of Medical Informatics among Dental and Medical Students. [PDF]
International BR.
europepmc +1 more source
This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika +6 more
wiley +1 more source
Multi-disciplinary medical case study development for first year medical students [PDF]
This poster will describe the history of the medical informatics course and the process of designing the case studies to fit into the new course management system, and will review the experiences of the librarians ...
Frisby, Anthony J +2 more
core +1 more source
Will Artificial Intelligence Translate Big Data Into Improved Medical Care or Be a Source of Confusing Intrusion? A Discussion Between a (Cautious) Physician Informatician and an (Optimistic) Medical Informatics Researcher [PDF]
Qing Zeng‐Treitler, Stuart J. Nelson
openalex +1 more source
High Blood Pressure and Cerebral White Matter Lesion Progression in the General Population
Medical Informatics +7 more
semanticscholar +1 more source
Unraveling Band‐Tail Effects on Temperature‐Dependent Emission in GaAsBi via Photoluminescence
An innovative dual‐spectroscopy approach resolves the debate over GaAsBi's emission temperature sensitivity. By combining temperature‐dependent photoluminescence and transmission spectroscopy, the method decouples the contributions of band‐tail states from the intrinsic band‐edge behavior.
Bing Yan +6 more
wiley +1 more source
The Scope and Direction of Health Informatics [PDF]
Health Informatics (HI) is a dynamic discipline based upon the medical sciences, information sciences, and cognitive sciences. Its domain is can broadly be defined as medical information management.
McGinnis, Patrick J.
core +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Kanıta Dayalı Tıp ve Tıp Kütüphaneciliği / Evidence Based Medicine and Medical Librarianship
Medical profession is in a transition as it has never been since its foundation thousands of years ago. We are experiencing a world where paternalistic medicine is being given up by most practitioners as hundreds of articles are published daily on ...
Murat Sincan
doaj

