Data_Sheet_1_Optimizing clinical outcomes in polypharmacy through poly-de-prescribing: a longitudinal study.docx حسب Doron Garfinkel (18465243)

Data_Sheet_1_Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.PDF حسب Vito Janko (14605643)

Image_1_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

Table_1_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

Table_2_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

Image_2_SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform.PDF حسب Nicolas Yin (8815997)

Patient characteristics across different healthcare settings. حسب Geert-Jan Geersing (331049)

Sensitivity and specificity of diagnostic strategies across healthcare settings. حسب Geert-Jan Geersing (331049)

The relationship between the prevalence of PE and failure rate of each diagnostic strategy. حسب Geert-Jan Geersing (331049)

Forest plot of failure rate and efficiency of the diagnostic strategies across healthcare settings. حسب Geert-Jan Geersing (331049)

The relationship between the prevalence of PE and efficiency of each diagnostic strategy. حسب Geert-Jan Geersing (331049)

Data_Sheet_1_Predicting total lung capacity from spirometry: a machine learning approach.docx حسب Luka Beverin (15668825)

Table_1_A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs.pdf حسب Xin Sun (127355)

DATASET AI حسب Elena Stamate (18836305)

"…</p><p dir="ltr">The primary aim of this dataset is to enable the development and validation of machine learning models for:</p><ul><li>Early identification of STEMI patients at high risk of developing cardiogenic shock;</li><li>Clinical triage optimization and prioritization for urgent angiography;</li><li>Supporting time-sensitive decision-making in resource-limited or overcrowded emergency settings.…"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"