BMJ

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...
bjo.bmj

Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction

Aims To predict the vault and the EVO-implantable collamer lens (ICL) size by artificial intelligence (AI) and big data analytics. Methods Six thousand two hundred and ninety-seven eyes implanted with ...
GitHub

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

Computing the minimal volume oriented bounding box for a given point cloud in 3D is a hard problem in computer science. Exact algorithms are known and of cubic order in the number of points in 3D. A ...
archive

[Coursera] Algorithms Part I

remove-circle Internet Archive's in-browser video "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see your ...
C&EN

Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking

Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States Department of Chemistry and Chemical Biology, Northeastern University, Boston, ...
LinkedIn

Recommendation Systems Unveiled: Algorithms, Data, and Real-World Impact

Recommendation systems power everything from e-commerce to streaming services, making them an essential piece of modern AI and data science. Recommendation systems are everywhere, shaping our digital ...
C&EN

Investigations into the Efficiency of Computer-Aided Synthesis Planning

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The efficiency of machine learning (ML) models is crucial to minimize inference times ...
Nature

An open dataset for individual tree detection in UAV LiDAR point clouds and RGB orthophotos in dense mixed forests

This section provides detailed descriptions of the dataset, a simple matching algorithm for evaluation of detection results, and a basic baseline approach for individual tree detection to benchmark ...
Frontiers

Optimizing Voronoi-based quantifications for reaching interactive analysis of 3D localizations in the million range

Over the last decade, single-molecule localization microscopy (SMLM) has revolutionized cell biology, making it possible to monitor molecular organization and dynamics with spatial resolution of a few ...
LinkedIn

Improve model - Hyperparameter tuning in k-nearest neighbors

A k-nearest neighbors is algorithm used for classification and regression. It classifies a new data point by finding the k-nearest points in the training dataset and assigns it the majority class ...
Nature

PoCA: a software platform for point cloud data visualization and quantification

The PoCA graphical user interface (GUI) is simple, intuitive and user friendly (Fig. 1b). It is designed to allow users as well as developers to perform efficient investigation and quantitative ...