Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313404299> ?p ?o ?g. }
- W4313404299 endingPage "e1188" @default.
- W4313404299 startingPage "e1188" @default.
- W4313404299 abstract "Chronic obstructive pulmonary disease (COPD), is a primary public health issue globally and in our country, which continues to increase due to poor awareness of the disease and lack of necessary preventive measures. COPD is the result of a blockage of the air sacs known as alveoli within the lungs; it is a persistent sickness that causes difficulty in breathing, cough, and shortness of breath. COPD is characterized by breathing signs and symptoms and airflow challenge because of anomalies in the airways and alveoli that occurs as the result of significant exposure to harmful particles and gases. The spirometry test (breath measurement test), used for diagnosing COPD, is creating difficulties in reaching hospitals, especially in patients with disabilities or advanced disease and in children. To facilitate the diagnostic treatment and prevent these problems, it is far evaluated that using photoplethysmography (PPG) signal in the diagnosis of COPD disease would be beneficial in order to simplify and speed up the diagnosis process and make it more convenient for monitoring. A PPG signal includes numerous components, including volumetric changes in arterial blood that are related to heart activity, fluctuations in venous blood volume that modify the PPG signal, a direct current (DC) component that shows the optical properties of the tissues, and modest energy changes in the body. PPG has typically received the usage of a pulse oximeter, which illuminates the pores and skin and measures adjustments in mild absorption. PPG occurring with every heart rate is an easy signal to measure. PPG signal is modeled by machine learning to predict COPD.During the studies, the PPG signal was cleaned of noise, and a brand-new PPG signal having three low-frequency bands of the PPG was obtained. Each of the four signals extracted 25 features. An aggregate of 100 features have been extracted. Additionally, weight, height, and age were also used as characteristics. In the feature selection process, we employed the Fisher method. The intention of using this method is to improve performance.This improved PPG prediction models have an accuracy rate of 0.95 performance value for all individuals. Classification algorithms used in feature selection algorithm has contributed to a performance increase.According to the findings, PPG-based COPD prediction models are suitable for usage in practice." @default.
- W4313404299 created "2023-01-06" @default.
- W4313404299 creator A5008875371 @default.
- W4313404299 creator A5028248035 @default.
- W4313404299 creator A5073841908 @default.
- W4313404299 creator A5080715385 @default.
- W4313404299 creator A5086387115 @default.
- W4313404299 creator A5088138667 @default.
- W4313404299 date "2022-12-19" @default.
- W4313404299 modified "2023-10-14" @default.
- W4313404299 title "A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence" @default.
- W4313404299 cites W1536891989 @default.
- W4313404299 cites W1975962029 @default.
- W4313404299 cites W1999234934 @default.
- W4313404299 cites W2010512848 @default.
- W4313404299 cites W2010991055 @default.
- W4313404299 cites W2017337590 @default.
- W4313404299 cites W2032912491 @default.
- W4313404299 cites W2037293914 @default.
- W4313404299 cites W2039015671 @default.
- W4313404299 cites W2111374619 @default.
- W4313404299 cites W2122111042 @default.
- W4313404299 cites W2122716433 @default.
- W4313404299 cites W2142878424 @default.
- W4313404299 cites W2208036992 @default.
- W4313404299 cites W2410151604 @default.
- W4313404299 cites W2538423124 @default.
- W4313404299 cites W2591351200 @default.
- W4313404299 cites W2591904990 @default.
- W4313404299 cites W2605876211 @default.
- W4313404299 cites W2753588101 @default.
- W4313404299 cites W2791187255 @default.
- W4313404299 cites W2808345783 @default.
- W4313404299 cites W2911964244 @default.
- W4313404299 cites W2912361013 @default.
- W4313404299 cites W2921237497 @default.
- W4313404299 cites W2945526235 @default.
- W4313404299 cites W3025628315 @default.
- W4313404299 cites W3090333983 @default.
- W4313404299 cites W3093861859 @default.
- W4313404299 cites W3123405717 @default.
- W4313404299 cites W3131682574 @default.
- W4313404299 cites W3137498209 @default.
- W4313404299 cites W3147503844 @default.
- W4313404299 cites W3157159046 @default.
- W4313404299 cites W3182160037 @default.
- W4313404299 cites W3194536207 @default.
- W4313404299 cites W4212883601 @default.
- W4313404299 cites W4221131980 @default.
- W4313404299 cites W4239510810 @default.
- W4313404299 cites W4255977962 @default.
- W4313404299 cites W4296416927 @default.
- W4313404299 doi "https://doi.org/10.7717/peerj-cs.1188" @default.
- W4313404299 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37346306" @default.
- W4313404299 hasPublicationYear "2022" @default.
- W4313404299 type Work @default.
- W4313404299 citedByCount "1" @default.
- W4313404299 countsByYear W43134042992023 @default.
- W4313404299 crossrefType "journal-article" @default.
- W4313404299 hasAuthorship W4313404299A5008875371 @default.
- W4313404299 hasAuthorship W4313404299A5028248035 @default.
- W4313404299 hasAuthorship W4313404299A5073841908 @default.
- W4313404299 hasAuthorship W4313404299A5080715385 @default.
- W4313404299 hasAuthorship W4313404299A5086387115 @default.
- W4313404299 hasAuthorship W4313404299A5088138667 @default.
- W4313404299 hasBestOaLocation W43134042991 @default.
- W4313404299 hasConcept C116390426 @default.
- W4313404299 hasConcept C126322002 @default.
- W4313404299 hasConcept C164705383 @default.
- W4313404299 hasConcept C177713679 @default.
- W4313404299 hasConcept C199360897 @default.
- W4313404299 hasConcept C2776042228 @default.
- W4313404299 hasConcept C2776780178 @default.
- W4313404299 hasConcept C2779134260 @default.
- W4313404299 hasConcept C2779843651 @default.
- W4313404299 hasConcept C2780333948 @default.
- W4313404299 hasConcept C2992779976 @default.
- W4313404299 hasConcept C39300077 @default.
- W4313404299 hasConcept C41008148 @default.
- W4313404299 hasConcept C42219234 @default.
- W4313404299 hasConcept C555944384 @default.
- W4313404299 hasConcept C71924100 @default.
- W4313404299 hasConcept C76155785 @default.
- W4313404299 hasConceptScore W4313404299C116390426 @default.
- W4313404299 hasConceptScore W4313404299C126322002 @default.
- W4313404299 hasConceptScore W4313404299C164705383 @default.
- W4313404299 hasConceptScore W4313404299C177713679 @default.
- W4313404299 hasConceptScore W4313404299C199360897 @default.
- W4313404299 hasConceptScore W4313404299C2776042228 @default.
- W4313404299 hasConceptScore W4313404299C2776780178 @default.
- W4313404299 hasConceptScore W4313404299C2779134260 @default.
- W4313404299 hasConceptScore W4313404299C2779843651 @default.
- W4313404299 hasConceptScore W4313404299C2780333948 @default.
- W4313404299 hasConceptScore W4313404299C2992779976 @default.
- W4313404299 hasConceptScore W4313404299C39300077 @default.
- W4313404299 hasConceptScore W4313404299C41008148 @default.
- W4313404299 hasConceptScore W4313404299C42219234 @default.
- W4313404299 hasConceptScore W4313404299C555944384 @default.