Dengue AI
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SDTW, cumulative and scaled long time series
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Epi year time series
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Cases and climate variables multivariate clustering
Climate variables multivariate clustering
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Exploratory Data Analysis
Model simplified reference dataset
Dengue case classification
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Global and subset models workflow
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SBD clustering
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Time series features clustering, with robust sparse k-means
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Multivariate clustering, all data model
Multivariate clustering, climate model
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A trajectory on health data and information
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Imputation
This notebook aims to impute some missing data and enrich the dataset.
February 19, 2024 | 10:03:25 +01:00
Raphael Saldanha
Missing data analysis
This report presents a missing data analysis from the raw parquet files.
February 19, 2024 | 10:02:22 +01:00
Raphael Saldanha
Case classification analysis
This is a descriptive report about dengue case classification and criteria.
February 19, 2024 | 10:01:36 +01:00
Raphael Saldanha
Datasets
Datasets…
February 19, 2024 | 09:59:55 +01:00
Raphael Saldanha
Export aggregated database
This notebook aims to create a database with aggregated counts of positive dengue cases for spatial and time units.
February 19, 2024 | 09:43:37 +01:00
Raphael Saldanha
Model simplified reference dataset
On this notebook, models are trained and tested based on the
simplified version
of the reference dataset.
February 19, 2024 | 08:54:53 +01:00
Raphael Saldanha
Datasets
February 15, 2024 | 17:19:43 +01:00
Raphael Saldanha
Exploratory Data Analysis
Variable type: character
February 8, 2024 | 11:57:38 +01:00
Raphael Saldanha
Dengue case classification
by symptoms and clinical condition
The objective of this notebook is to train a model to…
February 8, 2024 | 10:54:45 +01:00
Raphael Saldanha
Raw files, chikungunya
This notebook presents the process of downloading SINAN Dengue raw data files from DataSUS, pre-processing steps using the
{microdatasus}
…
February 6, 2024 | 13:09:47 +01:00
Raphael Saldanha
Raw files, chikungunya
This notebook presents the process of downloading SINAN Dengue raw data files from DataSUS, pre-processing steps using the
{microdatasus}
…
February 5, 2024 | 15:52:12 +01:00
Raphael Saldanha
Cases and climate variables multivariate clustering
This notebook aims to cluster the Brazilian municipalities considering climate indicators with multivariate clustering techniques.
February 5, 2024 | 15:39:06 +01:00
Raphael Saldanha
Multivariate clustering, all data model
This notebooks aims to reproduce the methodology of the paper submitted to the SBD2023 conference, implementing the global and subset modelling with a multivariate approach.
February 1, 2024 | 09:05:51 +01:00
Raphael Saldanha
Denque and weather lags
This notebook…
January 25, 2024 | 15:18:06 +01:00
Raphael Saldanha
Raw files
This notebook presents the process of downloading SINAN Dengue raw data files from DataSUS, pre-processing steps using the
{microdatasus}
…
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Time series features
with scaled cases
This notebook aims to explore time series features of dengue cases that may guide the clustering procedures. Time series features descriptions are quoted from
Hyndman et al. (202…
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Scaled cases
This notebook aims to cluster the Brazilian municipalities considering scaled (standardized) dengue cases time-series similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Scaled cases, cumulative
This notebook aims to cluster the Brazilian municipalities considering scaled (standardized) dengue cases time-series similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
SDTW, cumulative and scaled long time series
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Raw cases, cumulative
This notebook aims to cluster the Brazilian municipalities considering dengue raw cases time-series similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Cumulative time series
This notebook aims to cluster the Brazilian municipalities cumulative yearly dengue cases time-series yearly by its similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Climate variables multivariate clustering
This notebook aims to cluster the Brazilian municipalities considering only climate indicators with multivariate clustering techniques.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Raw cases
This notebook aims to cluster the Brazilian municipalities considering dengue raw cases time-series similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Yearly time series
This notebook aims to cluster the Brazilian municipalities considering yearly dengue cases time-series similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Epi year time series
This notebook aims to cluster the Brazilian municipalities by epidemiological yearly dengue cases time-series yearly (starting on September) by its similarities.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Hierarchical clustering
with scaled cases
This notebooks aims to explore hierarchical clustering of municipalities considering scaled dengue cases time series.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Time series features clustering
This notebooks aims to implement the global and subset modelling, adopting a clustering strategy based on time series features extraction, with the
{tsfeatures}
package.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
SBD clustering
This notebooks aims to reproduce the metodology of the paper submitted to the SBD2023 conference, implementing the global and subset modelling.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Regression task
This notebook models the relationship between dengue cases and weather variables using the nominal value of dengue cases.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Dengue case classification
by symptoms and clinical condition
The objective of this notebook is to predict a dengue suspected case based on its symptoms, clinical conditions and other patient related variables.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Classification task
This notebook models the relationship between dengue cases and weather variables using a classification of dengue cases as outbreak level (anomaly) or base level.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Time series features clustering, with robust sparse k-means
This notebooks aims to implement the global and subset modelling, adopting a clustering strategy based on time series features extraction, with the
{tsfeatures}
package.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Multivariate clustering, climate model
This notebooks aims to reproduce the methodology of the paper submitted to the SBD2023 conference, implementing the global and subset modelling with a multivariate approach.
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
Global and subset models workflow
December 1, 2023 | 09:07:18 +01:00
Raphael Saldanha
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