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Learn Visualizing Adverse Event Rates | Clinical Data Analysis and Visualization
Python for Pharmacists

bookVisualizing Adverse Event Rates

Monitoring and analyzing adverse drug events is a critical aspect of pharmacy practice. Adverse eventsβ€”unintended and harmful outcomes from medication useβ€”can impact patient safety and treatment outcomes. By tracking these events and visualizing their frequency, you can quickly identify which medications are associated with higher risks. Visualization helps you communicate findings clearly to healthcare teams, supporting informed decisions and proactive risk management.

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import pandas as pd # Create a DataFrame with drugs and reported adverse event counts data = { "Drug": ["Amlodipine", "Metformin", "Warfarin", "Atorvastatin"], "Adverse_Events": [15, 22, 8, 12] } df = pd.DataFrame(data) print(df)
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To understand the distribution of adverse events among different drugs, you can use a pie chart. This type of chart makes it easy to see the proportion of total events attributed to each medication, allowing you to focus on drugs with higher reported issues.

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# Customizing the pie chart with percentages for clarity plt.figure(figsize=(6, 6)) plt.pie( df["Adverse_Events"], labels=df["Drug"], autopct="%1.1f%%", startangle=90, shadow=True ) plt.title("Proportion of Adverse Events by Drug") plt.show()
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1. What type of chart is suitable for showing proportions of adverse events by drug?

2. Why is it important to visualize adverse event data?

3. Which matplotlib function is used to create a pie chart?

question mark

What type of chart is suitable for showing proportions of adverse events by drug?

Select the correct answer

question mark

Why is it important to visualize adverse event data?

Select the correct answer

question mark

Which matplotlib function is used to create a pie chart?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 2

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bookVisualizing Adverse Event Rates

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Monitoring and analyzing adverse drug events is a critical aspect of pharmacy practice. Adverse eventsβ€”unintended and harmful outcomes from medication useβ€”can impact patient safety and treatment outcomes. By tracking these events and visualizing their frequency, you can quickly identify which medications are associated with higher risks. Visualization helps you communicate findings clearly to healthcare teams, supporting informed decisions and proactive risk management.

123456789
import pandas as pd # Create a DataFrame with drugs and reported adverse event counts data = { "Drug": ["Amlodipine", "Metformin", "Warfarin", "Atorvastatin"], "Adverse_Events": [15, 22, 8, 12] } df = pd.DataFrame(data) print(df)
copy

To understand the distribution of adverse events among different drugs, you can use a pie chart. This type of chart makes it easy to see the proportion of total events attributed to each medication, allowing you to focus on drugs with higher reported issues.

1234567891011
# Customizing the pie chart with percentages for clarity plt.figure(figsize=(6, 6)) plt.pie( df["Adverse_Events"], labels=df["Drug"], autopct="%1.1f%%", startangle=90, shadow=True ) plt.title("Proportion of Adverse Events by Drug") plt.show()
copy

1. What type of chart is suitable for showing proportions of adverse events by drug?

2. Why is it important to visualize adverse event data?

3. Which matplotlib function is used to create a pie chart?

question mark

What type of chart is suitable for showing proportions of adverse events by drug?

Select the correct answer

question mark

Why is it important to visualize adverse event data?

Select the correct answer

question mark

Which matplotlib function is used to create a pie chart?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 2
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