Determining Car Accident Severity using Machine Learning from recorded accidents in the US 2016-2020.
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Updated
Oct 22, 2020 - Jupyter Notebook
Determining Car Accident Severity using Machine Learning from recorded accidents in the US 2016-2020.
Tool used to gauge risk of Covid-19 transmission at schools on a county-wide level.
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
A representation an entity which provides a way to prioritize service and service request(issues) in order of their importance.
Machine Learning Model for Severity of Airplane Accidents.
[AIIM] Recall & Precision results of the UTA7 statistical analysis.
Works with npm audit to check vulnerability severities and pass/fail based on a threshold
A web-based tool to visualize reports generated by "npm audit"
This repository contains the dataset 'DEPTWEET' published in the journal of Computers in Human Behavior.
Source code and dataset for paper 'A Learning-based Model for Assessment of Covid-19 Severity'
A django web app that predicts the disease and severity based on the symptoms collected from user
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 coll…
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