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Updated: May 21, 2025

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通过机器学习改善慢性疼痛护理诊断:一项绩效评估

Davide Macrì1, Nicola Ramacciati, Carmela Comito

  • 1Author Affiliations: Istituto di Calcolo e Reti ad Alte Prestazioni (Institute for High-Performance Computing and Networking) (Drs Macrì, Comito, and Forestiero); and Department of Pharmacy, Health and Nutritional Sciences, Università della Calabria (Dr Ramacciati), Rende, Cosenza; Residenze Protette Cerreto d'Esi (Residential Care Facility), Kursana lunga vita Coop. Soc. ONLUS, Cerreto d'Esi, Ancona (Dr Metlichin); and Nursing School, University of Perugia (Dr Giusti); and Servizio Formazione e Qualità, Azienda Ospedaliera di Perugia (Dr Giusti), Perugia, Italy.

Computers, informatics, nursing : CIN
|March 20, 2025
PubMed
概括

机器学习有效地分类慢性疼痛在意大利护理笔记. XGBoost的表现优于其他算法,显示了AI.

关键词:
深度学习是一种深度学习.梯度增强可以提高梯度.机器学习 机器学习护理诊断是一个护理诊断.护理笔记 护理笔记预测模型的预测模型.

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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