Healthcare Data Management - Data Visualization for Health Trends

 Notes:

• What problem does it solve?: It visualizes health trends over time, helping medical professionals make data-driven decisions.

• How can businesses or users benefit from customizing the code?: Clinics can create custom health dashboards that display trends such as patient conditions or treatment outcomes.

• How can businesses or users adopt the solution further, if needed?: This can be expanded into more complex dashboards integrated into patient management systems.

Python Code:

import matplotlib.pyplot as plt

# Sample health data (e.g., patient blood sugar levels over 10 days)

days = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

blood_sugar_levels = [85, 90, 92, 91, 95, 96, 97, 98, 100, 103]

# Plot the trend

plt.plot(days, blood_sugar_levels, marker='o', color='b', label='Blood Sugar Level')

plt.xlabel('Days')

plt.ylabel('Blood Sugar Level (mg/dL)')

plt.title('Blood Sugar Trend Over 10 Days')

plt.legend()

plt.show()