AIMC Topic: Forecasting

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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Journal of digital imaging
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their sel...

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

American journal of pharmaceutical education
To develop predictive computational models forecasting the academic performance of students in the didactic-rich portion of a doctor of pharmacy (PharmD) curriculum as admission-assisting tools. All PharmD candidates over three admission cycles wer...

Robots in healthcare security and safety: the future is now.

Journal of healthcare protection management : publication of the International Association for Hospital Security
Robot security officers cur- rently are now available to perform functions which are not cost-effective for humans, according to the author who heads a company which manu- factures them. In this article he describes the capabilities of robot officers...

Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

Inhalation toxicology
BACKGROUND: Galaxolide (HHCB) is used for fragrance in many consumer products. The aim of the current study was to use objective assessments of HHCB to build a predictive model in order to estimate indoor-measured HHCB concentrations from questionnai...