An Chatbot based expert system to assist doctors improve screening of patients and diagnosis .
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README.md

Code Issues

MediBot

An Chatbot based expert system to assist doctors improve screening of patients and diagnosis .

Runnable environment

Database connection

  • Install the redis-py package with pip install redis.
  • Install redis with:
wget http://download.redis.io/redis-stable.tar.gz
tar xvzf redis-stable.tar.gz
cd redis-stable
make
sudo cp src/redis-server /usr/local/bin/
sudo cp src/redis-cli /usr/local/bin/
  • Start with redis-server. This will start redis on localhost on port 6379.

HTML

Check out the zip file in lib/ for instructions to install HTML support.

#Date : 2 JAN 2016

Conventions

  • Tabs = Spaces*2
  • Filenames = abc_efg.py
  • Verbose logging needed
  • ownership = Funtctional level

##Softwares

  • Anaconda - latest
  • Sublime - defaults
  • Python : 3.x / 2.7 TBD after delebrations , for now 3.4

##Folders

  • Consumer = Sameer -To poll Telegram API and GET JSON dict .
  • Core = Jaideep Kekre -To play with JSON dict and display tokenized contents in log / CLI / Return to user as an echo (DEBUG)

#Deliverables on 10 JAN

  • Jaideep : Tokenizers working , JSON accept , LOG (PRINT TOKENS / USERNAME)
  • Sameer : Create Medibot , 1_Medibot in telegram , Create listener , pass JSON to Core

##Functions affected

  • Core : core() , make_token , get_user() , read_response()
  • Consumer : TBD

#Deliverables on 24 JAN

  • Jaideep : convert obo to json , service sample knowledge request , parse knowledge json db , make string input to core pretty
  • Sameer : convert / implement non blocking queue based bot producer / consumer , create basic 4 QA db independent EXPERT_SYSTEM

##Functions affected

  • Core : get_struct()
  • Consumer : producer() , consumer()
  • Expert_system: (Add functions here sameer)
  • knowledge_store:obo_to_json() , service_knowledge_request() , parse_knowledge()