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Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy, which, in turn, is the leading cause of end-stage chronic kidney disease. The early identification of individuals at heightened risk of such…

Quantitative Methods · Quantitative Biology 2024-09-24 Davide Dei Cas , Barbara Di Camillo , Gian Paolo Fadini , Giovanni Sparacino , Enrico Longato

Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Huy-Dung Nguyen , Michaël Clément , Boris Mansencal , Pierrick Coupé

Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related…

Early recognition of clinical deterioration (CD) has vital importance in patients' survival from exacerbation or death. Electronic health records (EHRs) data have been widely employed in Early Warning Scores (EWS) to measure CD risk in…

Medical diagnosis is a crucial task in the medical field, in terms of providing accurate classification and respective treatments. Having near-precise decisions based on correct diagnosis can affect a patient's life itself, and may…

Machine Learning · Computer Science 2025-08-27 A. Yarkın Yıldız , Asli Kalayci

Agriculture plays an important role in the food and economy of Bangladesh. The rapid growth of population over the years also has increased the demand for food production. One of the major reasons behind low crop production is numerous…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Hasin Rehana , Muhammad Ibrahim , Md. Haider Ali

Primary Immune thrombocytopenia (ITP) is a rare autoimmune disease characterised by immune-mediated destruction of peripheral blood platelets in patients leading to low platelet counts and bleeding. The diagnosis and effective management of…

Machine Learning · Computer Science 2024-06-03 Haroon Miah , Dimitrios Kollias , Giacinto Luca Pedone , Drew Provan , Frederick Chen

Delayed-enhancement cardiac magnetic resonance (DE-CMR)provides important diagnostic and prognostic information on myocardial viability. The presence and extent of late gadolinium enhancement (LGE)in DE-CMR is negatively associated with the…

Image and Video Processing · Electrical Eng. & Systems 2020-10-19 Ana Lourenço , Eric Kerfoot , Irina Grigorescu , Cian M Scannell , Marta Varela , Teresa M Correia

Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its association with smoking, elevated blood pressure, and cholesterol levels underscores the significance of these risk factors. This study addresses…

Machine Learning · Computer Science 2023-11-02 Jonayet Miah , Duc M Ca , Md Abu Sayed , Ehsanur Rashid Lipu , Fuad Mahmud , S M Yasir Arafat

Background: Huntington's disease (HD) is a rare, genetically determined brain disorder that limits the life of the patient, although early prognosis of HD can substantially improve the patient's quality of life. Current HD prognosis methods…

Signal Processing · Electrical Eng. & Systems 2023-02-09 Sucheer Maddury

Background: Clinical diagnosis is typically reached by following a series of steps recommended by guidelines authored by colleges of experts. Accordingly, guidelines play a crucial role in rationalizing clinical decisions but suffer from…

Machine Learning · Computer Science 2024-04-10 Lillian Muyama , Antoine Neuraz , Adrien Coulet

Alzheimer's disease (AD) is the most common neurodegenerative disease in older people. Despite considerable efforts to find a cure for AD, there is a 99.6% failure rate of clinical trials for AD drugs, likely because AD patients cannot…

Machine Learning · Computer Science 2019-03-25 Jack Albright

Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cognitive and behavioural and include a wide range of personality…

Image and Video Processing · Electrical Eng. & Systems 2024-01-08 Maria Frasca , Davide La Torre , Gabriella Pravettoni , Ilaria Cutica

Cardiovascular disease is the number one cause of death all over the world. Data mining can help to retrieve valuable knowledge from available data from the health sector. It helps to train a model to predict patients' health which will be…

Machine Learning · Computer Science 2020-12-18 Mistura Muibideen , Rajesh Prasad

The increasing focus on predicting renewable energy production aligns with advancements in deep learning (DL). The inherent variability of renewable sources and the complexity of prediction methods require robust approaches, such as DL…

Machine Learning · Computer Science 2025-12-05 Haibo Wang , Jun Huang , Lutfu Sua , Bahram Alidaee

Parkinson's Disease PD is a progressive neurodegenerative disorder that affects motor and cognitive functions with early diagnosis being critical for effective clinical intervention Electroencephalography EEG offers a noninvasive and…

Introduction: Machine learning (ML) has been extremely successful in identifying key features from high-dimensional datasets and executing complicated tasks with human expert levels of accuracy or greater. Methods: We summarize and…

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Given…

Type 1 diabetes (T1D) management can be significantly enhanced through the use of predictive machine learning (ML) algorithms, which can mitigate the risk of adverse events like hypoglycemia. Hypoglycemia, characterized by blood glucose…

Quantitative Methods · Quantitative Biology 2025-04-02 Beyza Cinar , Jennifer Daniel Onwuchekwa , Maria Maleshkova
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