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Machine learning techniques to identify antibiotic resistance in patients diagnosed with various skin and soft tissue infections
We trained an individual ML algorithm on each antimicrobial family to determine whether a Gram-Positive Cocci (GPC) or Gram-Negative Bacilli (GNB) bacteria will resist the corresponding antibiotic.
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
We utilized samples generated by our proposed GAN in training a prognosis model to demonstrate its real-life application.
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