Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource

By Surgery - 2021-03-03

Description

There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and ...

Summary

  • Login to your account If you don't remember your password, you can reset it by entering your email address and clicking the Reset Password button.
  • You will then receive an email that contains a secure link for resetting your password Email* If the address matches a valid account an email will be sent to __email__ with instructions for resetting your password Abstract There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries.
  • Second, algorithms should incorporate existing data sources or data that is easily obtainable by frontline health workers or assistants in order to optimize available resources and facilitate integration into clinical practice.
  • By considering the right population, right resources, and right algorithm, researchers can train prediction models that are both context-appropriate and resource-conscious.

 

Topics

  1. Backend (0.28)
  2. Machine_Learning (0.25)
  3. NLP (0.14)

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