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Women's Health Data

Working website to code and solve problem for women's health using kaggle and NHS data. This data is to attract individuals passionate about data science, healthcare, and social impact. It aims to encourage creative thinking and problem-solving while addressing crucial issues in women's health.

In partnership with Women in Data, UK, non-profit and Impactic Volunteers

impact volenteers wid-logo.png

data Title: EmpowerHer: Women's Health Data

Objective: The objective of this data is to harness the power of open-source tools and data from UK sources such as the National Health Service (NHS) and Kaggle to address critical challenges and opportunities in women's health. Participants are encouraged to explore, analyze, and innovate using available datasets to propose solutions, insights, or applications that advance the understanding and support of women's health.

Theme: - Solving Women's health with data and tech

Need to decide on what public data to use, examples from kaggle

  • Women Health Care
  • Babies Birth Weight
  • Breast Cancer
  • Fitbit Tracker
  • Cervical Cancer UK
  • Worldwide cancer data
  • UK Hospital Data

Problem Statement: Across various demographics and health sectors, women's health remains an area of complex and multifaceted needs. Challenges in reproductive health, maternal care, mental health, chronic conditions, and overall well-being persist. The aim is to leverage available UK data sources to:

  1. Identify Disparities: Explore and address disparities in access to healthcare, treatment outcomes, or prevalence of certain conditions among different demographics of women.
  2. Enhance Preventive Care: Develop strategies or tools that promote preventive healthcare measures for women, considering specific age groups, lifestyles, or health concerns.
  3. Mental Health Support: Explore and devise solutions that support mental health needs unique to women, considering factors like postpartum depression, stress, anxiety, or other mental health challenges.
  4. Health Education and Awareness: Create platforms, apps, or tools that spread awareness and educate women about various health issues, ensuring accessibility and understanding of healthcare information.

Tasks: Participants are encouraged to:

  1. Explore Datasets: Utilize datasets from NHS and Kaggle that pertain to women's health. This could include information on demographics, medical records, disease prevalence, treatment outcomes, etc.
  2. Analyze and Visualize: Analyze the data to identify trends, patterns, and potential areas for improvement in women's health. Visualize key insights to better understand the data.
  3. Develop Solutions: Propose innovative solutions, which could be in the form of applications, predictive models, educational tools, or any other technological advancement that addresses specific challenges in women's health.
  4. Pitch and Demonstrate: Present the findings and developed solutions to a panel of judges, explaining the rationale, methodology, and potential impact of the proposed solution.

Tools and Resources: Participants are encouraged to use open-source tools, libraries, and technologies for data analysis, such as Python (Pandas, NumPy), R, Jupyter Notebooks, machine learning libraries (scikit-learn, TensorFlow), visualization tools (Matplotlib, Seaborn, GeoPandas), and any other open-source resources available.

Judging Criteria: - Innovation and Creativity - Impact on Women's Health - Technical Skill and Analysis - Presentation and Clarity

Note: This data aims to create a collaborative environment where participants can learn, innovate, and contribute to a meaningful cause in women's health.