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Multiple Sclerosis is a degenerative condition of the central nervous system that affects nearly 2.5 million of individuals in terms of their physical, cognitive, psychological and social capabilities. Researchers are currently…

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

The research on mortality is an active area of research for any country where the conclusions are driven from the provided data and conditions. The domain knowledge is an essential but not a mandatory skill (though some knowledge is still…

机器学习 · 计算机科学 2020-09-14 Yasir Nadeem , Awais Ahmed

Risk prediction is central to both clinical medicine and public health. While many machine learning models have been developed to predict mortality, they are rarely applied in the clinical literature, where classification tasks typically…

机器学习 · 统计学 2017-12-05 Maggie Makar , Marzyeh Ghassemi , David Cutler , Ziad Obermeyer

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

Multiple sclerosis is a disease that affects the brain and spinal cord, it can lead to severe disability and has no known cure. The majority of prior work in machine learning for multiple sclerosis has been centered around using Magnetic…

Stroke is a major cause of death and disability worldwide. Accurate outcome and evolution prediction has the potential to revolutionize stroke care by individualizing clinical decision-making leading to better outcomes. However, despite a…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Adam Marcus , Paul Bentley , Daniel Rueckert

Heart disease remains the leading cause of death in the United States. Compared with risk assessment guidelines that require manual calculation of scores, machine learning-based prediction for disease outcomes such as mortality can be…

机器学习 · 计算机科学 2018-12-13 Laura A. Barrett , Seyedeh Neelufar Payrovnaziri , Jiang Bian , Zhe He

An estimated 300 million people worldwide suffer from asthma, and this number is expected to increase to 400 million by 2025. Approximately 250,000 people die prematurely each year from asthma out of which, almost all deaths are avoidable.…

计算机与社会 · 计算机科学 2018-04-13 Saksham Kukreja

Diabetes affects more than 425 million people worldwide, a scale approaching pandemic proportion. Diabetes represents a major risk factor for stroke, and therefore is actively addressed for stroke prevention. However, how diabetes affects…

组织与器官 · 定量生物学 2020-11-16 Thierry Coppola , Sophie Béraud-Dufour , Patricia Lebrun , Nicolas Blondeau

Prognostication for lung cancer, a leading cause of mortality, remains a complex task, as it needs to quantify the associations of risk factors and health events spanning a patient's entire life. One challenge is that an individual's…

机器学习 · 统计学 2025-08-28 Stephen Salerno , Yi Li

It is proposed to investigate the onset of a disease D, based on several risk factors., with a specific interest in Alzheimer occurrence. For that purpose, two classes of techniques are available, whose properties are quite different in…

应用统计 · 统计学 2023-01-18 C. Huber

Hospital length of stay (LOS) is one of the most essential healthcare metrics that reflects the hospital quality of service and helps improve hospital scheduling and management. LOS prediction helps in cost management because patients who…

机器学习 · 计算机科学 2022-01-06 Ola Alkhatib , Ayman Alahmar

Smoking continues to be a major preventable cause of death worldwide, affecting millions through damage to the heart, metabolism, liver, and kidneys. However, current medical screening methods often miss the early warning signs of…

机器学习 · 计算机科学 2026-01-27 Vaskar Chakma , MD Jaheid Hasan Nerab , Abdur Rouf , Abu Sayed , Hossem MD Saim , Md. Nournabi Khan

Atherosclerosis is one of the principle pathologies of cardiovascular disease with blood cholesterol a significant risk factor. The World Health Organisation estimates that approximately 2.5 million deaths occur annually due to the risk…

组织与器官 · 定量生物学 2015-10-08 Andrew Parton , Victoria McGilligan , Maurice OKane , Francina R Baldrick , Steven Watterson

Coronary heart disease (CHD) caused by hardening of artery walls due to cholesterol known as atherosclerosis is responsible for large number of deaths world-wide. The disease progression is slow, asymptomatic and may lead to sudden cardiac…

机器学习 · 计算机科学 2015-02-03 V. Sree Hari Rao , M. Naresh Kumar

Various stochastic models have been proposed to estimate mortality rates. In this paper we illustrate how machine learning techniques allow us to analyze the quality of such mortality models. In addition, we present how these techniques can…

应用统计 · 统计学 2017-05-10 Philippe Deprez , Pavel V. Shevchenko , Mario V. Wüthrich

According to the WHO, Cerebrovascular Stroke, or CS, is the second largest cause of death worldwide. Current diagnosis of CS relies on labor and cost intensive neuroimaging techniques, unsuitable for areas with inadequate access to quality…

计算机视觉与模式识别 · 计算机科学 2019-07-12 Ankit Gupta

Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people across the globe during the last decade. In order to prevent…

机器学习 · 计算机科学 2022-06-08 Muhammad Salman Pathan , Avishek Nag , Muhammad Mohisn Pathan , Soumyabrata Dev

Cardiac arrest remains a leading cause of death worldwide, necessitating proactive measures for early detection and intervention. This project aims to develop and assess predictive models for the timely identification of cardiac arrest…

计算机与社会 · 计算机科学 2024-09-25 G. Divya , M. Naga SravanKumar , T. JayaDharani , B. Pavan , K. Praveen