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Understanding the risk and protective factors associated with Parkinsons disease (PD) is crucial for improving outcomes for patients, individuals at risk, healthcare providers, and healthcare systems. Studying these factors not only…

Neurons and Cognition · Quantitative Biology 2025-03-12 Iman Beheshti

Recent years have seen an increased focus into the tasks of predicting hospital inpatient risk of deterioration and trajectory evolution due to the availability of electronic patient data. A common approach to these problems involves…

Machine Learning · Computer Science 2020-11-18 Henrique Aguiar , Mauro Santos , Peter Watkinson , Tingting Zhu

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…

Machine Learning · Computer Science 2026-01-27 Vaskar Chakma , MD Jaheid Hasan Nerab , Abdur Rouf , Abu Sayed , Hossem MD Saim , Md. Nournabi Khan

The risk of long range, herein `airborne', infection needs to be better understood and is especially urgent during the current COVID-19 pandemic. We present a method to determine the relative risk of airborne transmission that can be…

Physics and Society · Physics 2021-02-24 Henry C. Burridge , Shiwei Fan , Roderic L. Jones , Catherine J. Noakes , P. F. Linden

Objective: The study aimed to determine the prevalence of several non-communicable diseases (NCD) and analyze risk factors among adult patients seeking nutritional guidance in Dhaka, Bangladesh. Result: Our study observed the relationships…

Quantitative Methods · Quantitative Biology 2023-05-19 Mrinmoy Roy , Anica Tasnim Protity , Srabonti Das , Porarthi Dhar

Chronic diseases are long-term, manageable, yet typically incurable conditions, highlighting the need for effective preventive strategies. Machine learning has been widely used to assess individual risk for chronic diseases. However, many…

Machine Learning · Computer Science 2025-06-24 Minh Le , Khoi Ton

Causal understanding is a fundamental goal of evidence-based medicine. When randomization is impossible, causal inference methods allow the estimation of treatment effects from retrospective analysis of observational data. However, such…

Machine Learning · Computer Science 2024-11-06 Samuel Lee , Zach Wood-Doughty

Modeling disease progression in healthcare administrative databases is complicated by the fact that patients are observed only at irregular intervals when they seek healthcare services. In a longitudinal cohort of 76,888 patients with…

Machine Learning · Computer Science 2018-12-04 Aman Verma , Guido Powell , Yu Luo , David Stephens , David L. Buckeridge

Respiratory illnesses are a significant global health burden. Respiratory illnesses, primarily Chronic obstructive pulmonary disease (COPD), is the seventh leading cause of poor health worldwide and the third leading cause of death…

Machine Learning · Computer Science 2024-10-31 Ankita Kumari Jain , Nitish Sharma , Madhav Kanda , Nipun Batra

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…

Artificial Intelligence · Computer Science 2024-09-24 Jamal Al-Karaki , Philip Ilono , Sanchit Baweja , Jalal Naghiyev , Raja Singh Yadav , Muhammad Al-Zafar Khan

In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. In this time, there are some types of…

Machine Learning · Computer Science 2022-09-23 Jabir Al Nahian , Abu Kaisar Mohammad Masum , Sheikh Abujar , Md. Jueal Mia

The biggest Breast cancer is increasingly a major factor in female fatalities, overtaking heart disease. While genetic factors are important in the growth of breast cancer, new research indicates that environmental factors also play a…

Machine Learning · Computer Science 2023-09-27 Muhammad Shoaib Farooq , Mehreen Ilyas

Stroke remains one of the most critical global health challenges, ranking as the second leading cause of death and the third leading cause of disability worldwide. This study explores the effectiveness of machine learning algorithms in…

Machine Learning · Computer Science 2025-05-16 Anastasija Tashkova , Stefan Eftimov , Bojan Ristov , Slobodan Kalajdziski

The four essential chambers of one's heart that lie in the thoracic cavity are crucial for one's survival, yet ironically prove to be the most vulnerable. Cardiovascular disease (CVD) also commonly referred to as heart disease has steadily…

Machine Learning · Computer Science 2021-11-17 Aaditya Surya

Lung disease is a common health problem in many parts of the world. It is a significant risk to people health and quality of life all across the globe since it is responsible for five of the top thirty leading causes of death. Among them…

Image and Video Processing · Electrical Eng. & Systems 2024-05-07 Pangoth Santhosh Kumar , Kundrapu Supriya , Mallikharjuna Rao K , Taraka Satya Krishna Teja Malisetti

According to GHO (Global Health Observatory (GHO), the high prevalence of a large variety of diseases such as Ischaemic heart disease, stroke, lung cancer disease and lower respiratory infections have remained the top killers during the…

Artificial Intelligence · Computer Science 2020-09-17 Mayssa Ben Kahla , Dalel Kanzari , Ahmed Maalel

Chronic diseases and cancer account for over 75 percent of healthcare costs in the US. Increased prevention services and improved primary care are thought to decrease costs. Current models for detecting changes in the health of populations…

Populations and Evolution · Quantitative Biology 2013-07-15 Jacob Kuriyan , Nathaniel Cobb

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remains substantial uncertainty regarding both its duration and…

Cardiovascular disease remains a leading global cause of mortality, necessitating accurate risk prediction tools. Traditional methods, such as QRISK and the Framingham heart score, exhibit limitations in their ability to incorporate…

Genomics · Quantitative Biology 2024-02-12 Farnoush Shishehbori , Zainab Awan

Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR data, we have developed early disease risk prediction models for five common chronic diseases: diabetes, hypertension, CKD, COPD, and…

Machine Learning · Computer Science 2026-03-13 Shaheer Ahmad Khan , Muhammad Usamah Shahid , Muddassar Farooq