Topic: severity Goto Github
Some thing interesting about severity
Some thing interesting about severity
severity,Library to easily print log messages based on severity. Severity can be changed dynamically and independently for piece of code.
Organization: acrios-systems
Home Page: https://github.com/ACRIOS-Systems/cLog
severity,A django web app that predicts the disease and severity based on the symptoms collected from user
User: akashvs01
severity,Machine Learning Model for Severity of Airplane Accidents.
User: ashmita-de
severity,IBM Coursera Capstone Project - Predict Accident Severity Given Weather, Road and Lighting Conditions
User: attitudeadjuster
severity,A representation an entity which provides a way to prioritize service and service request(issues) in order of their importance.
Organization: codetanzania
severity,Works with npm audit to check vulnerability severities and pass/fail based on a threshold
User: danielwhatmuff
severity,
Organization: hexhive
severity,Functions to write logs in file disk for V.
User: khalyomede
severity,A public NPM Package of our internal logging tools for Frontend and Backend JavaScript NodeJS projects.
Organization: microcodeincorporated
Home Page: https://www.mcode.com
severity,[AIIM] Recall & Precision results of the UTA7 statistical analysis.
Organization: mida-project
Home Page: https://mida-project.github.io/sa-uta7-recall-precision/
severity,[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
Organization: mimbcd-ui
Home Page: https://mimbcd-ui.github.io/dataset-uta4-classifications
severity,This repository contains the dataset 'DEPTWEET' published in the journal of Computers in Human Behavior.
User: mohsinulkabir14
severity,A web-based tool to visualize reports generated by "npm audit"
User: nrednav
Home Page: https://www.npmjs.com/package/npm-audit-visualizer
severity,This project focused on the mapping of the host-genetics factors determining COVID-19 severity using Machine learning approaches (supervised, unsupervised Machine learning methods, Pathway signaling processes, and Open Targets web-based Platform). Our study utilized the whole-exome sequencing genome dataset of 2000 European descent patients collected from the GEN-COVID Multicenter Study group (https://clinicaltrials.gov/ct2/show/NCT04549831) coordinated by the University of Siena. The whole-exome genome sequencing dataset contained 1.057M genetic variants of the patients. We used the 2000 patients’ original phenotype information to filter only patients with severity and asymptomatic across all classification criteria (841 patients). We introduced an innovative variant screening strategy that applied K-stratified fold splits of the original dataset to randomly draw a unique 5-fold pool of variants using the patients’ original phenotype information (841 unique patients).
Organization: raimondilab
severity,Tool used to gauge risk of Covid-19 transmission at schools on a county-wide level.
User: simon-bruklich
Home Page: https://simon-bruklich.github.io/cafes/#/
severity,Tutorial on Severity Index Calculation
Organization: unhcr-americas
Home Page: https://unhcr-americas.github.io/Building_Severity_Index/vignettes/TrainingSeverityIndex.html
severity,Source code and dataset for paper 'A Learning-based Model for Assessment of Covid-19 Severity'
User: zhuyinheng
Home Page: covid-19.zyh.science:8888
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