AureliustechandTalentSolutions

AureliustechandTalentSolutions's Stars

• tandemgov/awesome-procurement-data

  A carefully curated list of awesome US federal government procurement data resources.

  36

• LevyDecisionNeuroLab/VA_PTB_Analysis-Scripts

  Behavioral analysis and prt generating scripts for PTSD decision making task

  Language:MATLAB12

• PTSD-3D/PTSD-Engine

  Motor basado en C++ y scripting en Lua para videojuegos en 3D

  Language:C++4

• philipphoman/comp

  Computational PTSD project

  Language:R3

• orduek/latent_network_cfa

  Working on Latent network modeling for PTSD

  22

• department-of-veterans-affairs/NepecPtsdDataDictionary

  22

• alicew02/ptsd-aware

  an app that helps Veterans alleviate PTSD symtoms

  Language:Java12

• UWCCDL/PTSD

  Possible model for PTSD

  Language:HTML12

• jobinregina/EEG

  Pattern recognition and analysis of EEG signals from PTSD patients

  Language:Jupyter Notebook102

• openmhealth/dvu.ptsd

  Clinvis Data Visualization Unit For PTSD Explorer

  Language:JavaScript42

• BurlingtonCodeAcademy/ptsdb-pelican-lecture-notes

  lecture notes for ptsdb-mar-2023 a.k.a. pelican

  Language:JavaScript13

• PTSD-Syntaxing/PTSD_Syntax

  PTSD identification using nlp

  Language:Jupyter Notebook44

• hosteren/EMDR-for-browsers

  Eye Movement Desensitization and Reprocessing is a newer form of therapy for PTSD as well as anxiety

  Language:CSS419

• daveshap/PTSD_prompts

  GPT based PTSD experiments - USE AT OWN RISK - EXPERIMENTAL ONLY

  409

• varshasenthil2003/NeuroInsight-Advanced-EEG-Analytics-Platform-

  Developed a Python-based EEG analytics platform using Streamlit. Normalized data for consistency, explored ADHD-related patterns, and integrated machine learning model SVM for classification. Implemented spectral clustering for structural insights.

  Language:Jupyter Notebook1

• owensmax/ADHD

  Code from manuscript "Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study"

  Language:R2

• yacoob528/ADHD-Mastodon-C-Analysis

  It is an attempt to analyse millions of rows of data to answer if NHS data gives any indications whether ADHD prescriptions are growing or shrinking over time.

  Language:Python1

• ecarl-glitch/ADHDmicrobiomeAnalysis

  A repository for my senior capstone containing the data, code, and workflow used in my analysis of ADHD microbiome data

  1

• BradleyW1ll/ADHD-COST-ANALYSIS-PROJECT

  This program used ADHD data from the CDC and additional cost basis analysis for adhd medication. It will print a Linear regression model, ANOVA Analysis, a predictive model that will print future escalations in the growth of the ADHD population, and a predictive model to assess future cost expectations for ADHD medication

  Language:Python2

• BradleyW1ll/ADHD-COST-BASIS

  This program used ADHD data from the CDC and additional cost basis analysis for adhd medication. It will print a Linear regression model, ANOVA Analysis, a predictive model that will print future escalations in the growth of the ADHD population, and a predictive model to assess future cost expectations for ADHD medication

  1

• valentinbaumann/minecraft_adhd

  Experiment scripts, subject data and analysis pipeline for the 2019 minecraft_adhd study

  Language:Scilab2

• WindPVT/NAMCS-ADHD-Mental-Health

  Analysis of CNS Stimulant and ADHD medication prescribing using CDC NAMCS data.

  Language:R2

• paolorivas/mind-balloons

  BBA final project: designing instructional technology for adults with ADHD (Data Visualization)

  Language:JavaScript1

• AnTiMaTteR23/adhd-model

  A machine learning model to diagnose ADHD, using resting-state fMRI data.

  Language:Python3

• jayaram1125/Bayesian-Modelling-Using-FMRI-data-of-ADHD-patient

  Language:Python31

• wellsinprice/ADHD_EDA

  Exploratory Data Analysis of ADHD and Prevalence in University Students

  Language:Jupyter Notebook1

• SabrinaMumu55/Classified-ADHD-Dataset-Construction-Using-Ensemble-Machine-Learning

  Language:Jupyter Notebook1

• wdas03/adhd_hyperaktiv_ml

  ADHD detection using actigraphy data and ML/DL methods.

  Language:Jupyter Notebook1

• ArkajyotiPoddar/detection-of-adhd

  We tried to detect ADHD with EEG brain recording data of ADHD and non-ADHD individuals using Random Forest classifier with an accuracy of 97% and also getting some insights to the prediction by the use of Explainable AI algorithms like LIME and SHAP.

  Language:Jupyter Notebook4

• jingyi0808/fMRI-data-in-ADHD-study

  Functional connectivity analysis of resting-state fMRI data in ADHD study

  Language:R2