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Related Experiment Video

Updated: Jan 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Joshua George Kovoor1,2, Gavin John Carmichael1, Brandon Stretton3

  • 1Grampians Health, 1 Drummond Street N, Ballarat Central, 3350, Australia, 61 53204000.

JMIR AI
|December 19, 2025
PubMed
Summary

No abstract available in .

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Keywords:
AITF-IDFartificial intelligencedeep learningemergency departmenthealth informaticshospital resource managementhospitalizationlanguage modellarge language modellogistic regressionmachine learningpatient carepredictionresource managementretrospective analysis

Related Experiment Videos

Last Updated: Jan 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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