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During a patient’s physical examination, you note that she has scars on her fingers and enamel loss on the back of her teeth. Her potassium runs chronically low. You ask the patient if she ever purges after eating and she notes that she does, but that she is in counselling for it at this time. What other services could you consider to support your patient?

A 32-year-old man says he often checks if his stove is off—sometimes 20 to 30 times before leaving the house. He knows it’s irrational, but says “it doesn’t feel safe” unless he checks repeatedly. What condition should you consider?

A 33 year old male presents to clinic due to recent increase in thirst and appetite. He reports a FMH of DMII and hypertension. On exam you note his BMI is within normal limits, BP is 110/76, and random BG is 280. You decide to order the following labs: (SELECT ALL THAT APPLY)

Which similarity (distance) metric is commonly used in the K-Means clustering algorithm?

Your term-document matrix has 1000 terms. Which of the following fully connected Artificial Neural Networks would need the fewest number of parameters?

In a Random Forest model, how is the training data selected for each individual decision tree?

A trained SVM model would maximize:

What is a key difference between K-Means and LDA in how they generate topics from a collection of documents?

Which of the following procedures does NOT decrease the dimensionality of the term-document matrix representation?

A collection contains 100 documents. Each document has a total length of 50 terms.The collection has 1,234 unique (unduplicated) words, and every document on average uses 34 unique terms.If you represent the documents using a Bag-of-Words (BoW) model, what is the dimensionality of the resulting term-document matrix?