MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.
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Updated
Sep 26, 2023 - Swift
MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.
Neurodiversity In Buisness Website
Analysis of regulatory impacts of GWAS SNPs associated with psychiatric disorders and cognitive functioning.
Code for paper "A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder".
A collection of source codes for network-based multi-omics analysis using integrated genome-wide association studies (GWAS) and transcriptomic data to identify genetic contribution into lithium response in patients with bipolar disorder (BD).
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
miscellaneous exploration of ABCD Study tables
This is where I put the things I am doing with guitar pedals, music and mental health.
Mood tracker for various mental health metrics that gives you complete control over configuration and data management. Integrates seamlessly into your life via the popular Telegram messaging app.
💤 Analysis of the paper "Associations between general sleep quality and measures of functioning and cognition in subjects recently diagnosed with bipolar disorder".
🎯 Data analysis aiming to predict functional impairment in subjects with past mood episodes.
💻 Code used to generate a Shiny app containing a predictive model that aims to assess the risk of functional impairment in euthymic mood patients.
🤰 Análises de um projeto que visa avaliar associações entre diferentes fatores perinatais e o desenvolvimento de transtorno bipolar.
📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.
💤 Data analysis of a brief communication published in Psychiatry Research Communications journal by Montezano et al (2023).
This project analyze data features from handwriting by people with and without bipolar disorder
Transcriptome analysis from patients with Bipolar Affective Disorder
🧹 Documentação de limpeza de dados para projeto sobre transtorno bipolar latente (PT-BR).
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