BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
FinanceFeeds

Eclipse Founder Neel Somani Steps Down as Executive Chairman

Neel Somani, the founder of Ethereum layer-2 protocol Eclipse Labs, has stepped down as Executive Chairman effective October ...
EurekAlert!

Multimodal imaging-based cerebral blood flow prediction model development in simulated microgravity

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
C&EN

Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...
GitHub

[Native Image] Compilation for spring boot 3 application fails with : Error: ImageSingletons do not contain key com.oracle.svm.hosted.ProgressReporterFeature

Java(TM) SE Runtime Environment Oracle GraalVM 21.0.5+9.1 (build 21.0.5+9-LTS-jvmci-23.1-b48) Java HotSpot(TM) 64-Bit Server VM Oracle GraalVM 21.0.5+9.1 (build 21.0.5+9-LTS-jvmci-23.1-b48, mixed mode ...
IEEE

Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction

Abstract: Horizontal well production prediction is crucial for the efficient development of tight reservoirs. However, owing to the complexity of the parameters affecting horizontal well production, ...
Frontiers

Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study

Background: This study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. Additionally, we ...
GitHub

train_the_svm.py

from sklearn.metrics import classification_report, confusion_matrix, f1_score, jaccard_score This function prints and plots the confusion matrix. Normalization can be applied by setting ...