xavieralacoque Goto Github PK

0-code

0-digital-healthcare-trends

1-data-collection

10-data-intervention-assessment

Once learning and interpreting have been completed , test hypothesis onto real life and assess wether or not hypothesis was true

11-key-performance-index

KPI for quality assessment of the prediction

12-supply-chain-data-lineage

let's talk about ethics , propriety, rights and trust and privacy

2-data-deidentification

Pseudo-anaonymize DATA in order to fit inside the healthcare system level of privacy and RGPD regulation

3-data-preprocessing

While ingesting data, first step should be to clean the DATA up , in order to get more signal inside the noise.

4-data-hygiene

First order look & pattern extract , METADATA and ONTOLOGY based classification

5-healthcare-standard-dockerization

Let's fit your data inside a container which is well known and used bt healthcare system ! HL7 , FHIR , FIRE . METADATA will be enclosed and data lineage index in order to track integrity , and quality. BLOCKCHAIN ?

6-data-analysis

Extract informations and understand DATA

7-data-visualization

Interpreting & focusing on ONE signal inside the DATA

8-data-interpretation

How to act on DATA BEHAVIOUR

9-data-prediction

Machine learning , Artificial intelligence , algorithms , classification