Modules 6-10

Question 1

What is Artificial Intelligence (AI) and Machine Learning (ML)?

Answer 1

Finding PATTERNS in data –> then, using them to make predictions

Question 2

What are the two kind of data?

Answer 2

Structured and Unstructured

Question 3

What is included in Structural Data?

Answer 3

table w/ rows/columns

Question 4

What is included in Unstructured Data?

Answer 4

images, sound, speech, text

Question 5

Which type of data is most commonly used?

Answer 5

Structured

Question 6

What Is necessary to develop an dAI/ML app?

Answer 6

inputs and outputs

Question 7

T/F
You do not need existing data on both inputs and output

Answer 7

FALSE
You MUST have EXISTING data on both INPUTS and OUTPUT

Question 8

Example of input/output data to find patterns

Answer 8

Input –> ECG recording
Output –> Atrial Fibrilation

Question 9

What is the process of….?

Answer 9

define the pattern
get the data
prepare the data
discover and visualize
train ML models
evaluate the models
select best one and fine tune
launch, monitor, maintain

Question 10

Why do project not succeed?

Answer 10

data quality
data labeling
model accuracy/confidence

Question 11

What percentage of projects fail?

Answer 11

85%

Question 12

What percentage of projects stall?

Answer 12

96%

Question 13

Examples of Structured data platforms

Answer 13

Microsoft azure machine learning studio
SAS enterprise miner (or viya)
python sci-kit learn

Question 14

Examples of unstructured data platforms

Answer 14

python - Tensorflow, Keras code from scratch

Question 15

Volume

Answer 15

The amount of data
- quantity of generated and stored data

Question 16

variety

Answer 16

variety of forms of data
- the type and nature of the data

Question 17

velocity

Answer 17

the speed new data is generated and moves around
- the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.

Question 18

veracity

Answer 18

the trustworthiness of the data
- the extended definition for big data, which refers to the data quality and the data value

Question 19

What would be included in big data for healthcare?

Answer 19

• electronic health record
• insurance claims
• data collected from smartphone applications, wearable devices, social media
• population genomics data

Question 20

What characteristics can big data be described by?

Answer 20

The four V
-volume
-veracity
-velocity
-variety

Question 21

list some examples of big data in healthcare

Answer 21

• electronic health record
• insurance claims
• data collected from smartphone applications, wearable devices, social media
• population genomics data

Question 22

What are structured and unstructured data in EHR?

Answer 22

• Structured is the defined units and values
• Unstructured are images and notes

Question 23

Understand database, table, primary key and foreign key

Answer 23

• PRIMARY KEY: unique identifier
• FOREIGN KEY: the common factor between two tables
• DATABASE: