RT Book, Section
A1 Willner, Marc A.
A1 Vogan, Eric D.
A2 Malone, Patrick M.
A2 Witt, Benjamin A.
A2 Malone, Meghan J.
A2 Peterson, David M.
SR Print(0)
ID 1190462746
T1 Pharmacy Informatics II: Big Data
T2 Drug Information: A Guide for Pharmacists, 7e
YR 2022
FD 2022
PB McGraw Hill
PP New York, NY
SN 9781260460308
LK accesspharmacy.mhmedical.com/content.aspx?aid=1190462746
RD 2024/04/19
AB Learning  ObjectivesAfter  completing  this  chapter,  the  reader  will  be  able  to:Describe  how  relational  databases  collate  and  store  data.Explain  how  Structured  Query  Language  (SQL)  is  used  to  interact  with  relational  databases  to  select  and  filter  data.Illustrate  data  analysis  techniques  and  methodology  used  to  evaluate  data  sets.Define  the  differences  between  “little  data”  and  “big  data.”Define  the  “5  V’s”  of  big  data.Explain  the  concept  of  a  data  warehouse  and  its  relation  to  reporting  and  analytics.Explain  the  differences  between  and  limitations  of  predictive  analytics  and  machine  learning.Describe  basic  concepts  of  different  machine  learning  methodologies.Describe  examples  of  machine  learning  used  in  health  care,  as  well  as  potential  future  directions  for  machine  learning  in  health  care.