A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2667-1336

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records ; day:22 ; month:2 ; year:2023 ; pages:1-13
Human-centric intelligent systems ; (22.2.2023), 1-13

Classification: Informatik

Creator: Hassan, Md. Mehedi
Hassan, Md. Mahedi
Mollick, Swarnali
Khan, Md. Asif Rakib
Yasmin, Farhana
Bairagi, Anupam Kumar
Raihan, M.
Arif, Shibbir Ahmed
Rahman, Amrina

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44230-023-00017-3

URN: urn:nbn:de:101:1-2023042821095558873554

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:45 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Hassan, Md. Mehedi
Hassan, Md. Mahedi
Mollick, Swarnali
Khan, Md. Asif Rakib
Yasmin, Farhana
Bairagi, Anupam Kumar
Raihan, M.
Arif, Shibbir Ahmed
Rahman, Amrina
SpringerLink (Online service)

Other Objects (12)

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Chronic kidney disease prediction using machine learning techniques

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Cardiovascular Risk Prediction in Chronic Kidney Disease

A Klotho-Based Machine Learning Model for Prediction of both Kidney and Cardiovascular Outcomes in Chronic Kidney Disease

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models

Investigation on explainable machine learning models to predict chronic kidney diseases

Related objects

Reset password