Fuzzy regression model clustering algorithm based assessment, analysis and acceptance of palliative care and psychological behaviors of elderly patients with cancer pain

2018 ◽  
Vol 22 (S2) ◽  
pp. 4813-4820
Author(s):  
Ke Xi ◽  
Luo Huiyu ◽  
He Xiaohua ◽  
Wu Meihua ◽  
Wu Guangfeng ◽  
...  
Keyword(s):  
Palliative Care ◽  
Elderly Patients ◽  
Cancer Pain ◽  
Regression Model ◽  
Clustering Algorithm ◽  
Fuzzy Regression ◽  
Patients With Cancer ◽  
Fuzzy Regression Model

scholarly journals Acupuncture for palliative cancer pain management: systematic review

2021 ◽  
pp. bmjspcare-2020-002638
Author(s):  
Juan Yang ◽  
Dietlind L Wahner-Roedler ◽  
Xuan Zhou ◽  
Lesley A Johnson ◽  
Alex Do ◽  
...  
Keyword(s):  
Systematic Review ◽  
Palliative Care ◽  
Pain Management ◽  
Cancer Pain ◽  
Included Study ◽  
Favourable Effect ◽  
Levels Of Evidence ◽  
Patients With Cancer ◽  
Level 3 ◽  
Randomised Controlled

BackgroundPain is one of the most common and problematic symptoms encountered by patients with cancer. Due to the multifactorial aetiology, pain management of these patients frequently requires multidisciplinary interventions including conventional support and specialty palliative care. Acupuncture has been identified as a possible adjunctive therapy for symptom management in cancer pain, and there is currently no systematic review focused solely on the evidence of acupuncture on cancer pain in palliative care.ObjectiveTo critically analyse currently available publications regarding the use of acupuncture for pain management among patients with cancer in palliative care settings.MethodsMultiple academic databases were searched from inception to 29 October 2020. Randomised controlled trials involving acupuncture in palliative care for treatment of cancer-related pain were synthesised. Data were extracted by two independent reviewers, and methodological quality of each included study was assessed using the Oxford Centre for Evidence-Based Medicine (OCEBM) 2011 Levels of Evidence.ResultsFive studies (n=189) were included in this systematic review. Results indicated a favourable effect of acupuncture on pain relief in palliative care for patients with cancer. According to OCEBM 2011 Levels of Evidence, they were level 2 in one case (20%), level 3 in two cases (40%) and level 4 in the remaining (40%). Low-level evidence adversely affects the reliability of findings.ConclusionsAcupuncture may be an effective and safe treatment associated with pain reduction in the palliative care of patients with cancer. Further high-quality, adequately powered studies are needed in the future.

Pain and Symptom Management in Palliative Care

1996 ◽  
Vol 3 (3) ◽  
pp. 204-213 ◽  
Author(s):  
Carla Ripamonti ◽  
Eduardo Bruera
Keyword(s):  
Palliative Care ◽  
Cancer Pain ◽  
Control Strategy ◽  
Symptom Management ◽  
Pain Control ◽  
Advanced Disease ◽  
Patients With Cancer ◽  
Pharmacologic Management

Background Pain, dyspnea, and anorexia are common symptoms experienced by patients with cancer and often are poorly managed. Methods The incidence and causes of these symptoms are described, as well as factors that exacerbate or ameliorate their impact. Results Pharmacologic management of cancer pain is based on the use of a sequential “ladder” that incorporates nonopioid, opioid, and adjuvant drugs, depending on the severity of the pain. This approach usually is effective. Other symptoms of advanced disease may be more difficult to control. Conclusions Adherence to an adequate pain-control strategy will significantly enhance palliation of pain in patients with cancer.

scholarly journals Quadrilateral Interval Type-2 Fuzzy Regression Analysis for Data Outlier Detection

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Pingping Gao ◽  
Yabin Gao
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Outlier Detection ◽  
Euclidean Distance ◽  
Fuzzy Numbers ◽  
Fuzzy Regression ◽  
Fuzzy Regression Analysis ◽  
Fuzzy Regression Model ◽  
Interval Type

This paper presents a fuzzy regression analysis method based on a general quadrilateral interval type-2 fuzzy numbers, regarding the data outlier detection. The Euclidean distance for the general quadrilateral interval type-2 fuzzy numbers is provided. In the sense of Euclidean distance, some parameter estimation laws of the type-2 fuzzy linear regression model are designed. Then, the data outlier detection-oriented parameter estimation method is proposed using the data deletion-based type-2 fuzzy regression model. Moreover, based on the fuzzy regression model, by using the root mean squared error method, an impact evaluation rule is designed for detecting data outlier. An example is finally provided to validate the presented methods.

Nephropathy forecasting in diabetic patients using a GA-based type-2 fuzzy regression model

2017 ◽  
Vol 37 (2) ◽  
pp. 281-289 ◽  
Author(s):  
Narges Shafaei Bajestani ◽  
Ali Vahidian Kamyad ◽  
Ensieh Nasli Esfahani ◽  
Assef Zare
Keyword(s):  
Regression Model ◽  
Fuzzy Regression ◽  
Diabetic Patients ◽  
Fuzzy Regression Model
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