Suppose you were interested in parallelizing the computation of various health-b

Question

Suppose you were interested in parallelizing the computation of various health-based anomalies presented in a hospital setting. Patients tend to present with acute symptoms, side-effects, or chronic concerns. Your dataset does not identify these exactly, but rather uses the word "acute," "chronic", or "side-effect" in the "patient visit details" field of the electronic health record. Describe, including a schema of your dictionary (i.e., the keys you would create), a map-reduce strategy for categorizing and aggregating this data into a summary report.

Explanation / Answer

So say we have a sample data set like this:-

And for every mapping identified in the table above we can have an Id mapping as well:-

My Strategy to reduce will be first identify single diseases (Acute, Chronic, Side effects, etc) and later if patient has multiple diseases simply concat the Sympton_Code/Id with _ (underscore) separating two sympton code to make it easier to read.

Please let me know in case of any clarifications required. Thanks!

Symptons Description Mapped Symptons Patient has acute symptons ACUTE Patient has chronic diseases CHRONIC patient has other various side effects SIDE_EFFECT Patient has ACute symptons with other side effects ACUTE_SIDE_EFFECT

Related Questions

Navigate

• Browse (All)
• Browse S
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.