Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Haque, Adiba, Kabir, Anika Nahian Binte, Islam, Maisha, Monjur, Mayesha
Weitere Verfasser:	Rhaman, Md. Khalilur
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	Cardiorenal Feature importance Cardiovascular disease Chronic kidney disease Machine learning
Online Zugang:	http://hdl.handle.net/10361/17028

Ähnliche Einträge

In-hospital outcome of Diabetes patients with Chronic Kidney Disease
von: Kabir, Sabrina
Veröffentlicht: (2021)

Prevalence of chronic kidney disease in South Asia: A systematic review
von: Hasan, Mehedi, et al.
Veröffentlicht: (2022)

Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017
von: GBD Chronic Kidney Disease Collaboration
Veröffentlicht: (2022)

Characterization and analysis of the major risk factors of the Kidney Patients of Bangladesh: a retrospective study
von: Rahman, Mahmud-Ur
Veröffentlicht: (2018)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
von: Shawan, Naveed Rahman, et al.
Veröffentlicht: (2019)

Characterization of the major risk factors Cardiovascular diseases and analysis of hypertension as a complication among the relatively newly diagnosed patients all over Bangladesh: a reflective study
von: Shuvro, Asif Jahan
Veröffentlicht: (2019)

Stem cell as an option for kidney injury and transplantation
von: Kabir, Faizul
Veröffentlicht: (2023)

Genetics of Monogenic Kidney Stone Disease (KSD): A review
von: Saad Aarman, Mohammad Shoumik
Veröffentlicht: (2023)

Socio-economic inequality of chronic non-communicable diseases in Bangladesh
von: Biswas, Tuhin, et al.
Veröffentlicht: (2018)

The illness narratives : suffering, healing, and the human condition /
von: Kleinman, Arthur
Veröffentlicht: (1988)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
von: Jahan, Asif
Veröffentlicht: (2024)

Anti-inflammatory effect of Statins in reducing the exacerbation and mortality rates of COPD patients: a review study
von: Shomi, Iffat Ara
Veröffentlicht: (2019)

Effect of Moringa oleifera on kidney disease: A review
von: Al Muhaimeen, Muntasir
Veröffentlicht: (2023)

Hypovitaminosis D: a modifiable risk factor for noncommunicable diseases
von: Hossain, Afrin
Veröffentlicht: (2024)

Early detection of chronic kidney disease using machine learning
von: Abrar, Tahmid, et al.
Veröffentlicht: (2019)

A review on cellular senescence and prospect of Senolytic drugs against chronic age-related diseases
von: Tasnim, Saida Masuma
Veröffentlicht: (2021)

Biocultural dimensions of chronic pain : implications for treatment of multi-ethnic populations /
von: Bates, Maryann S., 1942-
Veröffentlicht: (1996)

The world health report 1997: conquering suffering, enriching humanity : report of the Director-General.
Veröffentlicht: (1997)

The world health report 1996 : fighting disease, fostering development : report of the Director-General.
Veröffentlicht: (1996)

Prevalence and risk factors of chronic obstructive pulmonary disease in Bangladesh: A systematic review
von: Sutradhar, Ipsita, et al.
Veröffentlicht: (2022)

Targeting circular RNA for cardiovascular diseases
von: Sarkar, Deepannita
Veröffentlicht: (2023)

Bangladesh health system in transition: selected articles
von: Islam, Anwar
Veröffentlicht: (2010)

Effectiveness of data mining in predicting heart diseases
von: Afrin, Shahria, et al.
Veröffentlicht: (2018)

Risk of developing cardiovascular diseases on radiation exposure to thoracic region: a review
von: Mazumder, Dhrubanil
Veröffentlicht: (2024)

A comprehensive review on investigations of chronic neurogenetical impact of SARS-COV-2
von: Samrat, Mahinul Islam
Veröffentlicht: (2024)

Prediction of coronary heart diseases using supervised machine learning algorithms
von: Salam, Nazia Binte, et al.
Veröffentlicht: (2023)

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
von: Zaman, Mumtahina
Veröffentlicht: (2022)

A review on the emerging role of SIRT6 in cardiovascular diseases
von: Dinar, Md. ShahOwaly Ullah
Veröffentlicht: (2024)

Prevalence and risk factors of cardiovascular diseases among Bangladeshi adults: Findings from a cross-sectional study
von: Khanam, Fouzia, et al.
Veröffentlicht: (2022)

European Heart Journal

Overweight and obesity among children and adolescents in Bangladesh: a systematic review and meta-analysis
von: Biswas, Tuhin, et al.
Veröffentlicht: (2018)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
von: Hossain, Mohammad Sakib, et al.
Veröffentlicht: (2023)

European Heart Journal Supplements

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
von: Amin, M.M. Shahriar, et al.
Veröffentlicht: (2021)

A case study of lung cancer patients in term of various risk factors in context of Bangladesh
von: Shabnam, Musharrat
Veröffentlicht: (2018)

A brief survey on the effect of smoke of different sources on COPD patients
von: Nawal, Nusrat
Veröffentlicht: (2021)

European Heart Journal - Cardiovascular Imaging

Prevalence and associated risk factors of anxiety among university students of Bangladesh residing in urban areas
von: Muskan, Faiza Fairuz
Veröffentlicht: (2024)

Drug repurposing in NCDs: benefits and challenges
von: Nasir, Naushin Sadia
Veröffentlicht: (2021)

European Heart Journal - Quality of Care and Clinical Outcomes