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Arterial line的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包
Arterial line的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦寫的 Ultrasound Guided Procedures and Radiologic Imaging for Pediatric Anesthesiologists 和Harris, Catherine, Ph.d. (EDT)的 Adult-gerontology Acute Care Practice Guidelines都 可以從中找到所需的評價。
另外網站Arterial line insertion – Acute Care Guide - CMDN Blogs也說明：Arterial line insertion. Although uncommon on the general wards, you may be asked to insert/look after arterial lines in the High Dependency or Critical ...
這兩本書分別來自 和所出版 。
銘傳大學 醫療資訊與管理學系健康產業管理碩士班 林志銘所指導 邱昰桓的 勞工高尿酸血症相關因子與機器學習預測評估 （2021），提出Arterial line關鍵因素是什麼，來自於高尿酸血症、痛風、統計分析、機器學習、預測模型。
而第二篇論文中原大學 物理研究所 許怡仁所指導 公胤楠的 利用光學同調斷層攝影與深度學習探討橈動脈處表皮組織結構的時變特性 （2021），提出因為有 深度學習、光學相干斷層攝影、心率變異性、多尺度熵、統計分析的重點而找出了 Arterial line的解答。
最後網站Care of the Neonate with an Arterial line則補充：iatrogenic injury from repeated blood sampling an umbilical arterial catheter (UAC) or a peripheral arterial line (PAL) can be sited in the neonate.
Ultrasound Guided Procedures and Radiologic Imaging for Pediatric Anesthesiologists
為了解決Arterial line 的問題，作者 這樣論述：
Ultrasound Guided Procedures and Radiologic Imaging for Pediatric Anesthesiologists is intended as a ready resource for both experts and novices. It will be useful to both those with extensive training and experience as well as beginners and those with distant experience or training. A wealth of kno
wledge in the human factors of procedure design and use has been applied throughout to ensure that desired information can be easily located, that steps are clearly identified and comprehensible, and that additional information of high relevance to procedure completion is co-located and salient. Thi
s book begins with the basics, but quickly progresses to advanced skill sets. It is divided into four parts. Part I starts with a primer on ultrasound machine functionality as well as procedural chapters on lung ultrasound to detect a mainstem intubation or pneumothorax, and gastric ultrasound to as
sess gastric contents in incompletely fasted patients. Part II covers ultrasound guided peripheral intravenous line placement through the 'incremental advancement' method, ultrasound guided arterial line placement, and ultrasound guided central line placement. Part III details several ultrasound gui
ded regional anesthesia techniques. Part IV covers radiology of the pediatric airway and mediastinum, lungs, gastrointestinal, genitourinary, musculoskeletal, neurologic systems. Anna Clebone, MD, Asistant Professor, Division of Pediatric Anesthesiology, Department of Anesthesia and Critical Care,
University of Chicago School of Medicine, Chicago IL. Joshua H. Finkle, MD, Fellow, Pediatric Radiology, Northwestern University School of Medicine, Chicago, IL. Barbara K. Burian, PhD, Human Systems Intregration Division, NASA Ames Research Center, Moffett Field, CA.
勞工高尿酸血症相關因子與機器學習預測評估
為了解決Arterial line 的問題，作者邱昰桓 這樣論述：
研究背景：機器學習是一種不需顧慮變項間交互作用的一種疾病預測方法。而高尿酸血症是各種慢性疾病的生物指標之一，然而在2011年起我國政府所提供的常規健康檢查卻取消了尿酸的檢測。研究目的：透過機器學習的方法鑑別高尿酸血症的相關因子，並建立用於健康檢查的篩檢預測工具。研究方法：本研究數據來自於台灣北部某醫院的勞工健康檢查，使用迴歸分析找尋相關因子，並藉由迴歸係數估計因子對於尿酸的影響程度。機器學習部分則是利用10種之分類器，分別是羅吉斯迴歸、引導聚集算法、隨機森林、支持向量機、K-近鄰演算法、高斯單純貝氏分類器、梯度提升技術、自適應增強學習、極限梯度提升與多層感知器等十種分類器建立模型，並利用混淆
矩陣對模型的性能進行評估和比較，也使用Shapley additive explanation value (SHAP) 選擇重要特徵值。研究結果：3,667名參與者中有897 人患高尿酸血症，尿酸異常相關因子為年齡、性別、代謝症候群嚴重度指標、身體質量指數與肌酸酐。機器學習過程使用 4,319 筆經處理過的數據，利用SHAP值進行重要特徵值選擇，對尿酸異常的影響依序為肌酸酐與代謝症候群嚴重程度指標等。最佳模型為羅吉斯迴歸和梯度提升技術，兩者的模型的曲線下面積均為 0.78，若只使用排序前兩個主要特徵再次模型訓縣，其預測能力與原始模型相似。研究結論：高尿酸血症主要影響因子為肌酸酐及代謝症候群嚴
重度指標，我們可利用這兩個變項在健康檢查當中進行初步的高尿酸血症檢。本研究提供一種低成本且即時性的工具進行勞工高尿酸血症的預測，擴大研究對象、預測變數與進行前瞻性設計，並進一步提升模型鑑別能力。
Adult-gerontology Acute Care Practice Guidelines
為了解決Arterial line 的問題，作者Harris, Catherine, Ph.d. (EDT) 這樣論述：
The First Book of its KindPraise from Doody's Medical Reviews - Score: 93"This well-developed book provides acute care guidelines for the geriatric population in an easy-to-follow format that uses structural elements such as numbering and multilevel lists for each system. It is an excellent referenc
e for advanced practice prepared-clinicians to help identify, diagnose, and develop a treatment plan for acute health issues in older adults and geriatric patients." -Tho Nguyen, DNP, MSN, RNDelivers expert guidance for the common conditions seen in adult-gerontology acute care practiceThe first boo
k of its kind, this evidence-based resource provides nurse practitioners, physician assistants, and other advanced practice providers with the clinical knowledge they need to effectively practice adult-gerontology acute care. In quick-reference format, this system-based text describes more than 90 c
ommon conditions health providers are likely to see in their acute care practice. In this interprofessionally contributed text, nurse practitioner, physician assistant, and physician authors provide expert insight into each condition, enabling readers to categorize symptoms, be alert to the distingu
ishing features of disease symptoms and clusters, and find associated diagnoses.Comprehensive descriptions of conditions encompass definitions, incidence, pathophysiology, common signs and symptoms, vital subjective and pertinent physical exam data, differential diagnoses, diagnostic tests, and eval
uation and management plans. This handy, accessible text also includes perioperative considerations, discharge guidelines, treatment and disease management algorithms, and procedural guidelines.Key Features: Presents key points for more than 90 acute care conditions in quick-reference formatIncludes
considerations for such topics as preoperative, intraoperative, and postoperative evaluation and managementOffers discharge guidelines for inpatient conditionsDisseminates over 20 procedural guidelines, such as central and arterial line insertion, bronchoscopy, ECMO, endotracheal intubation, and mo
reEbook included
利用光學同調斷層攝影與深度學習探討橈動脈處表皮組織結構的時變特性
為了解決Arterial line 的問題，作者公胤楠 這樣論述：
研究建立了一套基於深度學習的程式，對OCT定點量測橈動脈處之表皮組織圖像作圖像處理，並建立了相關的圖像增強程式集合。最終訓練出2個U-net模型，可以從OCT圖像中分別提取任意時長的連續脈搏波或提取出心搏速率圖。研究者進行了初步的人體實驗，分別在站立，靜坐與平臥三種姿態下定點量測橈動脈處的表皮組織。對於心搏速率圖，研究者計算了mean_nni, sdnn, sdsd, nni_50, pnni_50, nni_20, pnni_20, rmssd, median_nni, range_nni, cvsd, cvnni，共12項時域的心率變異性指標，並進行統計學分析。對於連續的脈搏波，本研究對
其進行多尺度熵分析，並對結果作統計分析。