Saturday, February 24, 2018

Top 10 Algorithms to Know to Become a Data Scientist

These are the 10 most important machine learning algorithms that you need to master to break into the field: • Linear regression - https://lnkd.in/gZsqvir • Logistic regression - https://lnkd.in/guQ9upd • SVM - https://lnkd.in/g3NxzjC • Random forest - https://lnkd.in/gMrNiRR • Gradient boosting - https://lnkd.in/ggmktnB • PCA - https://lnkd.in/gj_f4mp • K-means clustering - https://lnkd.in/g9FZFfk • Collaborative filtering - https://lnkd.in/gtE5HRB • kNN - https://lnkd.in/gUvEqsR • ARIMA - https://lnkd.in/grwBJNd

Sunday, February 11, 2018

Thursday, January 11, 2018

Tuesday, July 18, 2017

Why Microservices?



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Thursday, July 13, 2017

HL 7 History


HL7 International considers the following standards to be its primary standards:

  • Version 2.x Messaging Standard – an interoperability specification for health and medical transactions (1989)
  • Version 3 Messaging Standard – an interoperability specification for health and medical transactions (2005)
  • Clinical Document Architecture (CDA) – an exchange model for clinical documents, based on HL7 Version 3 
  • Continuity of Care Document (CCD) – a US specification for the exchange of medical summaries, based on CDA.
  • Structured Product Labeling (SPL) – the published information that accompanies a medicine, based on HL7 Version 3
  • Clinical Context Object Workgroup (CCOW) – an interoperability specification for the visual integration of user applications
  • Fast Healthcare Interoperability Resources (FHIR) – a draft standard for the exchange of resources (2015)
ref: https://en.wikipedia.org/wiki/Fast_Healthcare_Interoperability_Resources