Lesson 2 – Decision Making and APIs

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step three of our one two three step

process is where our ai is making a

decision or producing an outcome

an easy way to think of this is to

compare this to humans

or in the case of our ai hospital entry

idea what a human doctor or nurse would

do

usually a human medical worker looks at

a patient and listens to their situation

all processes we talked about in step

one

what they see and hear goes into their

medically trained brain step two

and then they would make a decision

which is step three

for a human medical worker it might be

as simple and quick as this person needs

help immediately

or

it might be something more complicated

like this person may have this condition

but we need to run some tests to confirm

that prediction

so once an ai received data by looking

and listening

what decisions could it make and what

apis could help us do that

could we use the api called anomaly

detector to determine what things may be

wrong with a person

or the api called personalizer to begin

asking more tailored questions to the

patient based on their medical history

if there are clear symptoms that the ai

has picked up could it conduct a custom

search to compile a list of possible

health issues with the percentage of

likelihood

once the ai has determined how severe a

patient is and what should be done next

perhaps we could use the api of text to

speech to send a brief message to a

doctor or a nurse

you'll see that we have now used our

imaginations to dream up a quick ai

concept using the 123 process and the

apis

it was solving a problem of busy waiting

rooms at hospitals and would sit in ai

for health

at step one we absorbed data

at step two this data was going into our

robot and at step three we were making a

decision on what was needed next for

that patient

easy