DII challenge

Learning sepsis for this competition.

Collecting the parameters for sepsis prediction

    Blood pressure: If sepsis progresses to septic shock, blood pressure drops dramatically. This may lead to death.
    High levels of lactic acid in your blood

 

Risk factors
Sepsis and septic shock are more common if you:

Are very young or very old
Have a compromised immune system
Have diabetes or cirrhosis
Are already very sick, often in a hospital intensive care unit
Have wounds or injuries, such as burns
Have invasive devices, such as intravenous catheters or breathing tubes
Have previously received antibiotics or corticosteroids

Bolts and nuts

We need git for the version control.
I wanted to give credit to Kaggle where I learned my first modeling from Trevor's Titanic Project
Ask Guannan to install Centos7 as a dual boot for a Windows laptop

Getting ready for the competition

	
  • Create a team (07/16/2019); team lead: Guannan; team name: shenzhou
  • Create a github team called DII_ShenZhou
  • Unfortunately, since we try to attend this competition as freelance individuals, the organizer does not grant us the privilege. As a result, we have to give up and stop here. Well, that does not prevent us from pursuing the study for Data Science. As a matter of a fact, it triggers me to start a new site — Freelance Data Scientists.

    My docker note

    Following the docker tutorial link to start installation and configuration of docker on linux centos7

    Turn on the docker deamon

    sudo systemctl start docker
    

    A few interesting docker image that is helpful:

    You can get a specific ubuntu version, here is the command

    docker run -it ubuntu:16.04 /bin/bash
    

    This link tells you what is docker image.

    I am able to reproduce a few examples as a learning process

    "bullet" a very simpleRshiny example, but it is useful!
    My friend Master Xu has kindly shared his docker development -- aluminiWSU, gives me a good tutorial
    

    I tempt to make a docker image for Kevin Day’s SignatureAnalysis, hopefully as the first “real” deployment with docker image

    SignatureAnalysis is an Rshiny application developed by a summer student Mr. Kevin Day
    For docker Rshiny application, you can NOT install "shiny"!!
    Here is the docker image for a "pull" request: here.
    

    My Docker log in is

     
    	
  • dockerli11
  • password -- my initial one
  • Docker examples

    For whatever reason, this becomes my first trial example.
    Wanted to do one for this competition though.