Tag: AI

Mortality surveillance using an Automated Mortality Syndromic Surveillance System (MortalSS) – Lessons Learned from New York City
Mortality surveillance using an Automated Mortality Syndromic Surveillance System (MortalSS) - Lessons Learned from New York City Alejandro F. Castro III, MPH Mortality Surveillance Analyst, New York City Department of Health and Mental Hygiene Livestreaming: February 7th, 2023 at 12-1 pm ET

Course Objective

  • Identify aberrations in time-series data.
  • Classify free text cause of death data into multiple ICD-10 code categories using Natural Language Processing (NLP).
  • Construct interactive html dashboards in R and RStudio.

Date: February 7th, 2023

Presenter:
Alejandro F. Castro III, MPH
Mortality Surveillance Analyst,
New York City Department of Health and Mental Hygiene (NYCDOHMH)


In this month’s Log-in2Learn, Alejandro Castro III presents on mortality surveillance using an Automated Mortality Syndromic Surveillance System (MortalSS). He begins by explaining the importance of mortality surveillance in New York City and reviews the death registration process. He goes on to explain MortalSS, including time series analysis, model implementation, and interactive dashboards. He then discusses how the COVID-19 pandemic impacted mortality surveillance in New York City and the potential future impact of MortalSS. Castro ends by explaining artificial intelligence (AI) and machine learning (ML) for ICD-10 cause of death coding.

Participants will be able to:

  1. Identify aberrations in time-series data.
  2. Classify free text cause of death data into multiple ICD-10 code categories using Natural Language Processing (NLP).
  3. Construct interactive html dashboards in R and RStudio.
Region 2 Public Health Training Center