AIMC Topic: Symptom Burden

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Leveraging Artificial Intelligence to Uncover Symptom Burden in Palliative Care: Analysis of Nonscheduled Visits Using a Phi-3 Small Language Model.

JCO global oncology Apr 4, 2025
PURPOSE: This study aimed to differentiate nonscheduled visits (NSVs) in an outpatient palliative care setting that are driven by or accompanied by uncontrolled symptoms from those that are administrative or routine, such as prescription refills and ...
Humans Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Neoplasms Palliative Care Symptom Burden
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Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Feb 13, 2025
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom burden clusters in breast cancer patients undergoing chemotherapy, and to determine an optimal model.
Humans Neural Networks, Computer Machine Learning Algorithms Female Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Antineoplastic Agents ROC Curve Logistic Models Support Vector Machine Decision Trees Predictive Value of Tests Symptom Burden
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