Sentence examples for learning informatics from inspiring English sources

PES: Personnel Evaluation Standards; EDC: Educational Development Center; ANOVA: Analysis of Variance; KI: Karolinska Institutet; LIME: Learning, Informatics, Management, and Ethics; CME: Centre for Medical Education.

The study was designed and developed as a joint project between the department of Learning, Informatics, Management and Ethics at the Karolinska Institute, Sweden and Medical Education Research Center at medical university of Isfahan, and the National Public Health Management Center (NPMC).

They also learn the informatics aspect of identifying promising compounds and work with chemists "to do the optimization of a compound to improve its potency or solubility or selectivity," says Inglese. "That's a whole chunk of the drug discovery process".

Also, the study's framework could be used in guiding learning health informatics and be applied to nursing students.

Electronic medical records, genomics, proteomics, and immunomics together generate a volume of data that are forcing an informatics revolution as learning initiatives (both public and private) begin to correlate clinical and genomic data and look toward someday incorporating proteomic and immunological data.

The aim is to compare the existing machine learning methods available for medical informatics, and develop reliable, rule-based computer-assisted decision-making systems that provide recommendations for the course of treatment for new patients, based on previously seen cases in trauma databases.

This paper reports on state-of-the-art of the design and effectiveness of computational pathology workflows and it discusses future research directions in this emergent field of medical informatics and diagnostic machine learning.

Health informatics students and clinicians learning about HIS adoption can apply the CAMM as a framework for understanding adoption and impact of HISs over time.

An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship QSARR) models.

Increased availability of large repositories of chemical compounds is creating new challenges and opportunities for the application of machine learning methods to problems in computational chemistry and chemical informatics.

This paper shows the different virtual industrial plants that have been developed using SCADA systems to facilitate students' learning of basic concepts and techniques for an Industrial Informatics course.