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Obesity is a major health problem, increasing the risk of various major chronic diseases, such as diabetes, cancer, and stroke. While the role of obesity identified by cross-sectional BMI recordings has been heavily studied, the role of BMI…

Machine Learning · Computer Science 2024-12-03 Md Mozaharul Mottalib , Jessica C Jones-Smith , Bethany Sheridan , Rahmatollah Beheshti

Respiratory ailments are increasing globally at an alarming rate and are currently one of the leading factors of death and infirmity worldwide. Among respiratory diseases, those linked to poor air quality and pollutants are increasing at a…

Quantitative Methods · Quantitative Biology 2025-12-03 Shelby Lacouture , Mitchell Kelley , Noah Plues , Laszlo Hunyadi , Emily Sundman , Annette Sobel , Robert V. Duncan

Parkinson's disease (PD) is a common neurological disorder characterized by gait impairment. PD has no cure, and an impediment to developing a treatment is the lack of any accepted method to predict disease progression rate. The primary aim…

Signal Processing · Electrical Eng. & Systems 2019-11-26 Vyom Raval , Kevin P. Nguyen , Ashley Gerald , Richard B. Dewey , Albert Montillo

Care deferral is the phenomenon where patients defer or are unable to receive healthcare services, such as seeing doctors, medications or planned surgery. Care deferral can be the result of patient decisions, service availability, service…

Computers and Society · Computer Science 2024-09-02 Muhammad Aurangzeb Ahmad , Raafia Ahmed , Steve Overman , Patrick Campbell , Corinne Stroum , Bipin Karunakaran

The majority of common diseases are influenced by multiple genetic and environmental factors such as Cancer. Even though uncovering the main causes of disease is deemed difficult due to the complexity of gene-gene and gene-environment…

Other Computer Science · Computer Science 2017-05-10 Layan Nahlawi

Substudies of the Childhood Asthma Management Program [Control. Clin. Trials 20 (1999) 91-120; N. Engl. J. Med. 343 (2000) 1054-1063] seek to identify patient characteristics associated with asthma symptoms and lung function. To determine…

Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have resectable tumors; however, their cardiopulmonary function needs to be properly evaluated before they are deemed operative candidates.…

Computers and Society · Computer Science 2017-07-27 Oleksiy Budilovsky , Golnaz Alipour , Andre Knoesen , Lisa Brown , Soheil Ghiasi

Cardiovascular disease is one of the chronic diseases that is on the rise. The complications occur when cardiovascular disease is not discovered early and correctly diagnosed at the right time. Various machine learning approaches, including…

Machine Learning · Computer Science 2024-06-03 Hakim El Massari , Noreddine Gherabi , Sajida Mhammedi , Hamza Ghandi , Mohamed Bahaj , Muhammad Raza Naqvi

Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular…

Cardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, and hypertension. In cardiovascular diseases, heart failure is…

Artificial Intelligence · Computer Science 2024-07-12 Ershadul Haque , Manoranjan Paul , Faranak Tohidi

The detection of cardiovascular diseases (CVD) using machine learning techniques represents a significant advancement in medical diagnostics, aiming to enhance early detection, accuracy, and efficiency. This study explores a comparative…

Machine Learning · Computer Science 2024-05-28 Dayana K , S. Nandini , Sanjjushri Varshini R

Air pollution poses a critical health threat in cities worldwide, with nitrogen dioxide levels in Cork, Ireland exceeding World Health Organization safety standards by up to $278\%$. This study leverages artificial intelligence to predict…

Many medical decision-making tasks can be framed as partially observed Markov decision processes (POMDPs). However, prevailing two-stage approaches that first learn a POMDP and then solve it often fail because the model that best fits the…

Machine Learning · Statistics 2020-04-01 Joseph Futoma , Michael C. Hughes , Finale Doshi-Velez

This study addresses a critical gap in the healthcare system by developing a clinically meaningful, practical, and explainable disease surveillance system for multiple chronic diseases, utilizing routine EHR data from multiple U.S.…

Machine Learning · Computer Science 2025-01-28 Shaheer Ahmad Khan , Muhammad Usamah Shahid , Ahmad Abdullah , Ibrahim Hashmat , Muddassar Farooq

Lung cancer remains one of the leading causes of cancer-related mortality, yet most survival models rely only on baseline factors and overlook posttreatment variables that reflect disease progression. To address this gap, we applied Cox…

Applications · Statistics 2025-10-03 Varun Vishwanathan Nair , Victor Miranda Soberanis

Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have…

Signal Processing · Electrical Eng. & Systems 2020-07-02 Abdelkader Nasreddine Belkacem , Sofia Ouhbi , Abderrahmane Lakas , Elhadj Benkhelifa , Chao Chen

The COVID-19 pandemic is one of the most challenging healthcare crises during the 21st century. As the virus continues to spread on a global scale, the majority of efforts have been on the development of vaccines and the mass immunization…

Machine Learning · Computer Science 2021-09-07 Meysam Effati , Yu-Chen Sun , Hani E. Naguib , Goldie Nejat

Multimorbidity, the co-occurrence of two or more chronic diseases such as diabetes, obesity or cardiovascular diseases in one patient, is a frequent phenomenon. To make care more efficient, it is of relevance to understand how different…

Medical Physics · Physics 2019-08-05 Nils Haug , Stefan Thurner , Alexandra Kautzky-Willer , Michael Gyimesi , Peter Klimek

Many studies have proposed a relationship between COVID-19 transmissibility and ambient pollution levels. However, a major limitation in establishing such associations is to adequately account for complex disease dynamics, influenced by…

Populations and Evolution · Quantitative Biology 2021-09-07 Ognjen Milicevic , Igor Salom , Andjela Rodic , Sofija Markovic , Marko Tumbas , Dusan Zigic , Magdalena Djordjevic , Marko Djordjevic

Airborne pathogen transmission mechanisms play a key role in the spread of infectious diseases such as COVID-19. In this work, we propose a computational fluid dynamics (CFD) approach to model and statistically characterize airborne…

Fluid Dynamics · Physics 2023-11-07 Fatih Gulec , Falko Dressler , Andrew W. Eckford
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