Technical Sharing

The Process

ML Model

Customers' Inputs

Suggested

Treatments

Customers' Inputs

Questionnaire

E-Medical Records

Customers' Inputs

E-Medical Records

Sample Medical Record

Customers' Inputs

Questionnaire

Machine Learning Model

Classical

Deep Learning

Neuron

x

1

x

2

1

w

1

w

2

b

+

Y

Output of Neuron = Y = 

x

1

w

1

*

x

2

w

2

*

+

+ b

Neural Network

Input

Node 1

Input

Node 2

Input

Node 3

Hidden

Node 1

Hidden

Node 2

Hidden

Node 3

Output

Node 1

Output

Node 2

Output

Node 3

Recurrent Neural Network

 State

 Input

 Output

Recurrent Neural Network

 State

 Input

 Output

 State

 Input

 Output

 State

 Input

 Output

time = t-1

time = t

time = t+1

A Closer Look at State

 State

 Input

 Output

State

Decide what to forget

Forget and update state values

A Closer Look at Output

 State

 Input

 Output

Output

Treatment A

Treatment B

Treatment C

Treatment D

A Closer Look at Output

Output

Treatment A

Treatment B

Treatment C

Treatment D

Treatment B

Institution 1

Institution 2

Institution 3

Institution 4

Datasets

We need access to curated datasets to build our model

Thank You

HealthQuay (Detailed)

By Srivatsa P

HealthQuay (Detailed)

A brief sharing on the technical implementation

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