ML and Epidemiology with Elaine Nsoesie - #396

2020-07-30 · 47 min · episode 396 · 16 entities

episode page audio

Asserted relationships

→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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evidence rules-v4
ML and Epidemiology with Elaine Nsoesie - #396
→ hosted by Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
→ works at Boston University. In company

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evidence rules-v4
professor at Boston University. In
→ works at Boston University. In company

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evidence rules-v4
professor at Boston University. In
→ discusses Science concept

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evidence rules-v4
Feed category: Science
→ discusses Technology company

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evidence rules-v4
Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

0.40

evidence rules-v4
Feed author/publisher: TWIML

Entities found in this episode

companys 7

mentioned TWIML company

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evidence rules-v4
Feed author/publisher: TWIML
mentioned Boston University. In company

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evidence rules-v4
professor at Boston University. In
mentioned Technology company

0.50

evidence rules-v4
Feed category: Technology
works at Boston University. In company

0.50

evidence rules-v4
professor at Boston University. In
works at Boston University. In company

0.50

evidence rules-v4
professor at Boston University. In
discusses Technology company

0.40

evidence rules-v4
Feed category: Technology
hosted by TWIML company

0.40

evidence rules-v4
Feed author/publisher: TWIML

concepts 5

mentioned Science concept

0.50

evidence rules-v4
Feed category: Science
mentioned Tech News concept

0.50

evidence rules-v4
Feed category: Tech News
discusses Science concept

0.40

evidence rules-v4
Feed category: Science
discusses News concept

0.40

evidence rules-v4
Feed category: News
discusses Tech News concept

0.40

evidence rules-v4
Feed category: Tech News

persons 3

mentioned Elaine Nsoesie person

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evidence rules-v4
ML and Epidemiology with Elaine Nsoesie - #396
mentioned Sam Charrington person

0.70

evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
ML and Epidemiology with Elaine Nsoesie - #396

Episode description as stored

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to address global health issues, including infectious disease surveillance, and tracking search data for changes in health behavior in African countries. We also discuss COVID-19 epidemiology and the importance of recognizing how the disease is affecting people of different races and economic backgrounds.