2 datasets found
  1. Malaria Dataset

    • kaggle.com
    zip
    Updated Feb 8, 2022
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    Meet Nagadia (2022). Malaria Dataset [Dataset]. https://www.kaggle.com/datasets/meetnagadia/malaria-dataset/code
    Explore at:
    zip(6483837 bytes)Available download formats
    Dataset updated
    Feb 8, 2022
    Authors
    Meet Nagadia
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    • Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes.
    • It is preventable and curable.
    • In 2018, there were an estimated 228 million cases of malaria worldwide.
    • The estimated number of malaria deaths stood at 405 000 in 2018.
    • Children aged under 5 years are the most vulnerable group affected by malaria;
    • in 2018, they accounted for 67% (272 000) of all malaria deaths worldwide.
    • The WHO African Region carries a disproportionately high share of the global malaria burden.
    • In 2018, the region was home to 93% of malaria cases and 94% of malaria deaths.

    Data

    The dataset contains 2 folders

    • Test
    • Train

    In Those two folder we have 2 folders - Infected - Uninfected

    • there are total 550 images

    Inspiration

    Save humans by detecting and deploying Image Cells that contain Malaria or not!

    preview of data

    https://www.mdpi.com/asi/asi-04-00082/article_deploy/html/images/asi-04-00082-g001-550.jpg" alt="">

  2. Malaria Dataset

    • kaggle.com
    zip
    Updated Jul 1, 2020
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    Devakumar K. P. (2020). Malaria Dataset [Dataset]. https://www.kaggle.com/imdevskp/malaria-dataset
    Explore at:
    zip(53674 bytes)Available download formats
    Dataset updated
    Jul 1, 2020
    Authors
    Devakumar K. P.
    Description

    Context

    • Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes.
    • It is preventable and curable.
    • In 2018, there were an estimated 228 million cases of malaria worldwide.
    • The estimated number of malaria deaths stood at 405 000 in 2018.
    • Children aged under 5 years are the most vulnerable group affected by malaria;
    • in 2018, they accounted for 67% (272 000) of all malaria deaths worldwide.
    • The WHO African Region carries a disproportionately high share of the global malaria burden.
    • In 2018, the region was home to 93% of malaria cases and 94% of malaria deaths.

    Content

    • reported_numbers.csv - Reported no. of cases across the world
    • estimated_numbers.csv - Estimated no of cases across the world
    • incidence_per_1000_pop_at_risk.csv - Incidence per 1000 people at risk area

    Acknowledgements / Data Source

    https://apps.who.int/gho/data/node.main.A1363?lang=en

    Collection methodology

    https://github.com/imdevskp/malaria-data-cleaning

    Cover Photo

    Photo from https://www.sciencenews.org/article/malaria-parasites-may-have-their-own-circadian-rhythms By JOSEPH TAKAHASHI LAB/UT SOUTHWESTERN MEDICAL CENTER/HHMI

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Share
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Email
Click to copy link
Link copied
Close
Cite
Meet Nagadia (2022). Malaria Dataset [Dataset]. https://www.kaggle.com/datasets/meetnagadia/malaria-dataset/code
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Malaria Dataset

Cell Images for Detecting Malaria

Explore at:
zip(6483837 bytes)Available download formats
Dataset updated
Feb 8, 2022
Authors
Meet Nagadia
License

http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

Description

Context

  • Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes.
  • It is preventable and curable.
  • In 2018, there were an estimated 228 million cases of malaria worldwide.
  • The estimated number of malaria deaths stood at 405 000 in 2018.
  • Children aged under 5 years are the most vulnerable group affected by malaria;
  • in 2018, they accounted for 67% (272 000) of all malaria deaths worldwide.
  • The WHO African Region carries a disproportionately high share of the global malaria burden.
  • In 2018, the region was home to 93% of malaria cases and 94% of malaria deaths.

Data

The dataset contains 2 folders

  • Test
  • Train

In Those two folder we have 2 folders - Infected - Uninfected

  • there are total 550 images

Inspiration

Save humans by detecting and deploying Image Cells that contain Malaria or not!

preview of data

https://www.mdpi.com/asi/asi-04-00082/article_deploy/html/images/asi-04-00082-g001-550.jpg" alt="">

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