A 61-year-old woman reports sudden, sharp, electric-shock–like pain on the left side of her jaw that lasts for a few seconds at a time. The pain is triggered by brushing her teeth or talking, and she has no facial weakness or numbness. What is the most appropriate next step in her care?

A 63-year-old client with uncontrolled type 2 diabetes is confused about their medications. They also mention feeling tired, skipping meals, and having difficulty managing their blood sugars at home. The team includes an NP, a pharmacist, a dietitian, and a social worker. Which of the following best reflects how the NP can lead a team-based care approach in this case?

During a routine visit, a 19-year-old college athlete reports that she is “trying to stay lean for performance.” BMI is 16.3. On exam, you note bradycardia and lanugo on her arms. She denies vomiting or laxative use. Which feature most strongly supports a diagnosis of anorexia nervosa over other eating disorders?

A 34-year-old woman comes in for her annual exam. She mentions she can’t “shut her brain off” at night, is always tense, and worries something bad will happen to her children even when they’re safe at school. This has been going on for 7–8 months. What is the most likely diagnosis?

You are an NP practicing in a state with reduced practice authority. A client needs a medication adjustment and a referral for imaging. What is the most appropriate next step?

During her appointment, Maria, a 62-year-old woman with poorly controlled type 2 diabetes reveals that she has recently lost her job and is struggling to afford both her medications and healthy food. Her A1c is 9.2%, and she has missed several follow-up appointments due to lack of transportation. Which of the following would be the most appropriate combination of referrals to support Maria’s diabetes management?

A trained SVM model would maximize:

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

You want to cluster 6 observations into 2 clusters using the K-Means algorithm. After the first iteration, the clusters are:C1: {(2,2), (4,4), (6,6)}C2: {(0,4), (4,0), (8,8)}What will be the new cluster centroids for the second iteration?

Which of the following techniques is used to reduce words to their root forms by removing suffixes using simple rules rather than dictionary lookups?