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3.2 Scientific research on predictive models In the construction of predictive models for assessing an individual’s susceptibility to Acute Mountain Sickness (AMS), it is imperative to systematically integrate a multitude of indicator parameters and employ classical statistical frameworks alongside cutting-edge artificial intelligence techniques, such as machine learning algorithms and deep learning architectures, to forge highly accurate predictive models
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Keep missing information visible instead of filling it with guesses. Use the table to support judgment rather than replace it.
Consider whether an acceptable alternative could meet the same purpose. Avoid allowing a short deadline to erase an essential requirement.
Use a cropped view when it fully supports your intended point. Keep enough context to avoid misrepresenting the information shown.
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