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Bayes Hit

Bayes Hit icon.png

Number of players:

2-6

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Objective:

Identify clinic features that distinguish similar diagnoses

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Materials needed:

Bayes Hit Worksheet
Bayes Hit Example Worksheet (Weakness)

Bayes Hit Example Worksheet (Chest Pain)

Make Your Own!

This is a game that is meant to be customized by the teacher. If you have already created a game, or want to use one of the sample worksheets (Weakness or Chest Pain), skip to SETUP below.

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  1. Print out one or more copies of the Bayes Hit Worksheet

  2. In the first column, generate three diagnoses that share overlapping clinical features. Here are some examples that are both neurology-specific appropriate for other fields of medicine. If you would like to use more than three diagnoses, print out additional worksheets.  

  3. In each shaded box, generate one feature that may be relevant to one or more of the diseases. Examples include: 

    • Symptoms​

    • Physical exam findings

    • Imaging findings

    • Laboratory results

    • Patient demographics

    • Risk factors

    • Disease course

    • Pathophysiology

    • Treatment

  4. Try to include features that call into several categories:​

    • Features that are more common in Disease A, B, or C​

    • Features that are shared by two diseases

    • Features that are shared by all diseases

    • Features found in none of the diseases

  5. The goal is to create a site of clues that can help discriminate between diagnoses. 

  6. Cut out all cards and separate into diagnosis cards and feature cards

Setup:
  1. Shuffle the feature cards and place the face down as a deck.

  2. Choose two diagnosis cards and place them face up on the table. These will be referred to as Disease A and Disease B for the round. 

  3. Draw two feature cards and place them face up between the diagnoses. These are the starting features.

Game Play:
  1. Players take turns drawing a feature card from the deck and placing it face up to form a feature discard pile
  2. Players race to identify a set. 
 
What counts as a set? A set is formed when the two starting features and the feature on top of the discard pile fall into one of the following patterns?
  • All three features make Disease A more likely than Disease B

  • All three features make Disease B more likely than Disease A

  • All three features do not help distinguish between the two diseases. (This can include features shared by both diseases, or features found in neither disease.)

  • One of each...  one feature that favors Disease A, one that favors Disease B, and one that does not help. 

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What counts as a set diagram (Bayes Hit).png
  1. As soon as a player believes that the top card on the feature discard pile forms a set with the two starting features, they slap the face-up pile

  2. If a player slaps a pile, they must explain why the three features form a set. 

  3. If they are correct, they take the top feature card as a point. If they are incorrect, they lose a point (indicated by discarding a card they have previously taken for scoring) and play continues

  4. After a successful set:

    • Discard the the two starting feature cards. 

    • Replace one diagnosis card with a different diagnosis from the unused pile. 

    • Draw two new features cards as starting features.

    • Play continues

  5. Winning the game. The first player to collect five feature cards wins.
     

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Copyright 2023 Neurd Games. All Rights Reserved.

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