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The recent increase in morbidity is primarily due to chronic diseases including Diabetes, Heart disease, Lung cancer, and brain tumours. The results for patients can be improved, and the financial burden on the healthcare system can be…

机器学习 · 计算机科学 2025-02-18 Sri Varsha Mulakala , G. Neeharika , P. Vinay Kumar , A. Bhargava Kiran

In the field of health-care and bio-medical research, understanding the relationship between the symptoms of diseases is crucial for early diagnosis and determining hidden relationships between diseases. The study aimed to understand the…

人工智能 · 计算机科学 2023-02-24 Zolzaya Dashdorj , Stanislav Grigorev , Munguntsatsral Dovdondash

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

机器学习 · 计算机科学 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common development and advancement. Machine learning (ML) apparition, along with deep learning (DL) emergence, extended many approaches against…

机器学习 · 计算机科学 2025-01-29 Selestine Melchane , Youssef Elmir , Farid Kacimi , Larbi Boubchir

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the…

机器学习 · 计算机科学 2019-02-27 Md. Faisal Faruque , Asaduzzaman , Iqbal H. Sarker

Currently, many researchers and analysts are working toward medical diagnosis enhancement for various diseases. Heart disease is one of the common diseases that can be considered a significant cause of mortality worldwide. Early detection…

机器学习 · 计算机科学 2023-06-02 Salahaldeen Rababa , Asma Yamin , Shuxia Lu , Ashraf Obaidat

Infectious diseases, either emerging or long-lasting, place numerous people at risk and bring heavy public health burdens worldwide. In the process against infectious diseases, predicting the epidemic risk by modeling the disease…

机器学习 · 计算机科学 2023-08-08 Mutong Liu , Yang Liu , Jiming Liu

Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges to developing the early…

机器学习 · 计算机科学 2022-01-03 Md Manjurul Ahsan , Zahed Siddique

Respiratory diseases impose a significant burden on global health, with current diagnostic and management practices primarily reliant on specialist clinical testing. This work aims to develop machine learning-based algorithms to facilitate…

机器学习 · 计算机科学 2024-09-06 Negar Orangi-Fard , Alexandru Bogdan , Hersh Sagreiya

Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from…

机器学习 · 计算机科学 2016-10-27 Kamal Nayan Reddy Challa , Venkata Sasank Pagolu , Ganapati Panda , Babita Majhi

Coronary Heart Disease affects millions of people worldwide and is a well-studied area of healthcare. There are many viable and accurate methods for the diagnosis and prediction of heart disease, but they have limiting points such as…

Chronic diseases, such as cardiovascular disease, diabetes, chronic kidney disease, and thyroid disorders, are the leading causes of premature mortality worldwide. Early detection and intervention are crucial for improving patient outcomes,…

机器学习 · 计算机科学 2025-11-04 Houda Belhad , Asmae Bourbia , Salma Boughanja

Computer-aided diagnosis (CAD), a vibrant medical imaging research field, is expanding quickly. Because errors in medical diagnostic systems might lead to seriously misleading medical treatments, major efforts have been made in recent years…

机器学习 · 计算机科学 2023-08-04 Farzaneh Tajidini , Mohammad-Javad Kheiri

In 2019, the world faced a new challenge: a COVID-19 disease caused by the novel coronavirus, SARS-CoV-2. The virus rapidly spread across the globe, leading to a high rate of mortality, which prompted health organizations to take measures…

图像与视频处理 · 电气工程与系统科学 2024-08-08 Kavian Khanjani , Seyed Rasoul Hosseini , Hamid Taheri , Shahrzad Shashaani , Mohammad Teshnehlab

The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and causing significant social and economic disruptions. In order to optimize decision-making and allocate limited resources, it is essential to identify…

机器学习 · 计算机科学 2023-09-06 Mohammad Dehghani , Zahra Yazdanparast

Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers…

机器学习 · 计算机科学 2022-06-16 Eman Yahia Alqaissi , Fahd Saleh Alotaibi , Muhammad Sher Ramzan

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. The disease presents with symptoms such as shortness of breath, fever, dry cough, and chronic fatigue, amongst others. Sometimes the symptoms…

Coronary heart disease, which is a form of cardiovascular disease (CVD), is the leading cause of death worldwide. The odds of survival are good if it is found or diagnosed early. The current report discusses a comparative approach to the…

计算机视觉与模式识别 · 计算机科学 2021-12-03 Kelvin Kwakye , Emmanuel Dadzie

This study presents a machine learning-based framework for heart disease prediction using the heart-disease dataset, comprising 303 samples with 14 features. The methodology involves data preprocessing, model training, and evaluation using…

机器学习 · 计算机科学 2025-05-16 Ali Azimi Lamir , Shiva Razzagzadeh , Zeynab Rezaei

COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and people who are suffering from prior illnesses or are older…

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