Project by Maria-Theresa and Mario
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Updated
May 13, 2021
Project by Maria-Theresa and Mario
(개발중) 연구자, 근로자, 일반 시민이 산업재해 판례 정보를 손쉽게 조회하고 상황에 따라 메타데이터를 추가할 수 있는 서비스
Repository of data, code and supporting materials to repeat analysis performed by ODOT Research Unit documenting pedestrian injury disparities in Oregon. The standardized scoring uses an objective approach to categorizing Census tracts based on race, ethnicity, and poverty. These categories are then used to calculate population-based pedestrian …
This Github repository includes statistical programs and data used to construct estimates of state firearm injury hospitalizations described in “Inpatient Hospitalizations for Firearm Injury: Estimating State-Level Rates from 2000 to 2016” by Rosanna Smart, Samuel Peterson, Terry L. Schell, Rose Kerber, and Andrew R. Morral. RAND Corporation: Sa…
Prediction of severity of Car Crashes using Machine Learning
This study creates machine learning models to predict the seriousness of car crashes using 2019 and 2020 crash reports from the publicly accessable database maintained by the Chicago Police Department. A car crash is considered serious if the crash results in an injury or the car is towed due to the crash. Models use categorical features that de…
A R package for the implementation of ICD-10-CM injury matrix
Sources for a tModLoader (Terraria mod loader) plugin (mod) called Injury. This mod adds physical injuries (max health loss) for the player, along with some relevant associated gameplay mechanics.
Bioinfo scripts for the analyses described in EXPERIMENTAL PROCEDURES section of "Structured wound angiogenesis instructs mesenchymal barrier compartments in the regenerating nerve" manuscript
HBM Literature
EDA and trend analysis of NEISS product injury data from 2013-2022
a responsive, customizable and user-friendly web app geared at helping users overcome injury
The SAS code is an example for how the Emergency Medical Services (EMS) Division in Public Health - Seattle & King County identifies EMS incidents related to firearm injuries.
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