yuntaolu/ai_health_demo

Livecoding demonstration showcasing Flutter and its use in creating health apps

AI Health Demo

A Flutter health app that connects (fake) laboratory results from Cloud Firestore to a healthcare focused visualization.

What?

Example code as given for the UT Austin AI Health Spring 2020 course

Labs displayed are:

• complete blood count (CBC)
• basic metabolic panel (BMP)

Lab values

Within each lab, only a few results are shown. These are:

CBC

Abbr	Name	Type
wbc	White blood cell count	double
hb	Hemoglobin	double
hct	Hematocrit	double
plt	Platelets	int

BMP

Abbr	Name	Type
na	Sodium +	int
k	Potassium +	double
cl	Chloride -	int
co2	Bicarbonate -	int
bun	Blood urea nitrogen	int
creat	Creatinine	double
glc	Glucose	int

Relevant Links

• 101
  • Dart.dev
  • Flutter.dev
  • Multi-device in VS Code
• 102
  • Drawing Custom Shapes with CustomPainter
• 103
  • Pub.dev
  • Firebase for Flutter
  • JSON and serialization

Getting Started

Watch the video (link to be provided). In GitHub, the master branch corresponds to the final product. Branches also exist for the app as generated during 101 and 102 segments of this lecture.

Note that if you clone this repository, you will want to

1. Customize the package name to your own
2. Create your own Firebase repository, taking the relevant steps to setup secure rules for your new database
3. Follow the relevant Platform-specific device configuration to add google-services.json or GoogleService-Info.plist to your app
4. If this is an open-source project, add android/app/google-services.json and ios/Runner/GoogleService-Info.plist to your .gitignore file