Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other

Tahmasebian, Shahram; Ghazisaeedi, Marjan; Langarizadeh, Mostafa; Mokhtaran, Mehrshad; Mahdavi‐Mazdeh, Mitra; Javadian, Parisa

doi:10.15171/jrip.2017.16

Cited by 16 publications

(8 citation statements)

References 17 publications

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“…CKD is defined as damage to the structure and function of the kidney caused by various reasons and the damage lasts for more than 3 months [ 13 ]. The disease has the characteristics of high incidence, high mortality, low awareness, and poor prognosis.…”

Section: Resultsmentioning

confidence: 99%

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Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining

Wang

Sun

et al. 2021

Journal of Healthcare Engineering

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Objective. On the basis of electronic medical records, the data mining technology was adopted to explore the law of chronic kidney disease (CKD) and the intervention mode of mental health of patients. Methods. Based on the electronic medical records, the corresponding data extraction, database establishment, and data cleaning of CKD were performed. After that, the related data analysis, frequency analysis, cluster analysis, and nonparametric analysis were used to explore the laws of CKD diagnosis and treatment and nursing intervention mode of mental illness. The most common causes of CKD were chronic glomerulonephritis (43.76%), aristolochic acid nephritis (16.34%), diabetic nephritis (12.87%), and hypertensive nephritis (11.58%). The major treatment method for end-stage patients was alternative therapies, accounting for 46%. Compared with the depression score before intervention, that of the patients after the mindfulness therapy (50.99 ± 9.77 vs. 47.01 ± 9.33, P = 0.024 < 0.5 ) and target behaviour nursing intervention (52.21 ± 8.12 vs. 48.01 ± 9.33, P = 0.032 < 0.05 ) was obviously decreased. Conclusion. The data mining technology based on electronic records showed a good application prospect in the analysis of the diagnosis and treatment of CKD; and target behaviour nursing and mindfulness intervention were effective psychological intervention models.

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Section: Resultsmentioning

confidence: 99%

“…A large amount of clinical data show that CKD has a longer course, poor prognosis, and higher treatment costs [ 13 ]. In this context, the risk of patients suffering from mental illnesses is greatly increased.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining

Wang

Sun

et al. 2021

Journal of Healthcare Engineering

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“…An agreement has been reached according to the point of view of certain burdens of monetary examination. Later on, information mining innovation is not just utilized in information assortment and handling, yet in addition gives commonsense choice help to pertinent partners of undertakings according to the viewpoint of information mining results [9][10][11][12][13][14][15].…”

Section: Related Workmentioning

confidence: 99%

Research on Financial Cost Accounting and Control of Small- and Medium-Sized Enterprises under the Background of Data Mining

Wang

2022

Computational Intelligence and Neuroscience

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In the time of data blast and the ascent of the Web, the dramatic development of information and the data needs of small- and medium-sized endeavors affect the customary expense of the executives. Instructions to all the more likely mine viable data in information to give effective ways and technique merits considering. As the center innovation of handling enormous information, information mining can deal with a lot of mind-boggling information effectively. Accordingly, this paper talks about the cycle and technique for applying information mining at the expense of the executives of small- and medium-sized endeavors, to work on the seriousness of small- and medium-sized undertakings. This examination depends on the exploration and examination of the monetary information of small- and medium-sized ventures, joined with information mining innovation, extricates and uses the immense monetary information produced in the day-to-day administration cycle of the monetary division of the small- and medium-sized undertakings, plans and executes an information mining-based monetary information examination of small- and medium-sized endeavors framework. Joined with programming plan thoughts, through fundamental interest exploration and examination and many benefits of the ongoing B/S design, it was chosen to utilize the Java programming language, MyEclipse11 programming apparatus, Microsoft SQL Server 2008 data set administration instrument, J2EE advancement stage, and the exemplary Apriori in information mining. Mining techniques, for example, affiliation rules, bunching calculations, and choice tree calculations, have completely dissected the monetary information of small- and medium-sized undertakings, naturally and dependably give monetary administration branches of small- and medium-sized endeavors and ranking directors of small- and medium-sized ventures with helpful monetary data, and can help small- and medium-sized endeavors. Business pioneers pursue speedy choices. The planned and executed monetary examination framework in light of information mining incorporates the fundamental elements of SME monetary administration, resource stock administration, resource designation of the board, resource deterioration and discount, resource information upkeep of the executives, and so on. Small- and medium-sized undertakings’ monetary administration framework is a mix of information mining innovation, programming innovation, and small- and medium-sized monetary administration. The effective, solid, and helpful way has further developed the center seriousness of small- and medium-sized undertakings partially and accomplished a definitive objective of the framework plan.

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“…is could be reduced by using tools such as machine learning to classify ERC from the initial stages. Although the application of machine learning in healthcare and other areas is favorable, the field of kidney disease has not yet exploited its full potential [16][17][18][19][20][21][22][23][24][25].…”

Section: Assessment Of the Situationmentioning

confidence: 99%

[Retracted] Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives

Alhamazani

Alshudukhi

Aljaloud

et al. 2021

Computational Intelligence and Neuroscience

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Chronic kidney disease (CKD) is a global health issue with a high rate of morbidity and mortality and a high rate of disease progression. Because there are no visible symptoms in the early stages of CKD, patients frequently go unnoticed. The early detection of CKD allows patients to receive timely treatment, slowing the disease’s progression. Due to its rapid recognition performance and accuracy, machine learning models can effectively assist physicians in achieving this goal. We propose a machine learning methodology for the CKD diagnosis in this paper. This information was completely anonymized. As a reference, the CRISP-DM® model (Cross industry standard process for data mining) was used. The data were processed in its entirety in the cloud on the Azure platform, where the sample data was unbalanced. Then the processes for exploration and analysis were carried out. According to what we have learned, the data were balanced using the SMOTE technique. Four matching algorithms were used after the data balancing was completed successfully. Artificial intelligence (AI) (logistic regression, decision forest, neural network, and jungle of decisions). The decision forest outperformed the other machine learning models with a score of 92%, indicating that the approach used in this study provides a good baseline for solutions in the production.

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Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other

Cited by 16 publications

References 17 publications

Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining

Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining

Research on Financial Cost Accounting and Control of Small- and Medium-Sized Enterprises under the Background of Data Mining

[Retracted] Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives

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