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Maria Carmela Groccia, Rosita Guido, Domenico Conforti, Corrado Pelaia, Giuseppe Armentaro, Alfredo Francesco Toscani, Sofia Miceli, Elena Succurro, Marta Letizia Hribal and Angela Sciacqua
Chronic heart failure (CHF) is a clinical syndrome characterised by symptoms and signs due to structural and/or functional abnormalities of the heart. CHF confers risk for cardiovascular deterioration events which cause recurrent hospitalisations and hig...
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Muhammad Shoaib Arif, Aiman Mukheimer and Daniyal Asif
Clinical decision-making in chronic disorder prognosis is often hampered by high variance, leading to uncertainty and negative outcomes, especially in cases such as chronic kidney disease (CKD). Machine learning (ML) techniques have emerged as valuable t...
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Hassan El-khatib, Ana-Maria ?tefan and Dan Popescu
The incidence of melanoma cases continues to rise, underscoring the critical need for early detection and treatment. Recent studies highlight the significance of deep learning in melanoma detection, leading to improved accuracy. The field of computer-ass...
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Sara Monti, Paolo Delvino and Carlomaurizio Montecucco
Ultrasound for the diagnosis and monitoring of giant cell arteritis (GCA) is becoming increasingly used in clinical practice. The fast-track assessment of GCA ensures early, non-invasive diagnosis for patients with suspected vasculitis and significantly ...
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Matthew Oyeleye, Tianhua Chen, Sofya Titarenko and Grigoris Antoniou
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to detect a...
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Hyung Min Kim, Chang Wook Jeong, Cheol Kwak, Cheryn Song, Minyong Kang, Seong Il Seo, Jung Kwon Kim, Hakmin Lee, Jinsoo Chung, Eu Chang Hwang, Jae Young Park, In Young Choi and Sung-Hoo Hong
Patients with brain metastasis (BM) have a better prognosis when it is detected early. However, current guidelines recommend brain imaging only when there are central nervous system symptoms or abnormal experimental values. Therefore, metastases are disc...
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Kang Wang, Zhi-Jiang Xu, Yi Gong and Ke-Lin Du
Vibration signal analysis is the most common technique used for mechanical vibration monitoring. By using vibration sensors, the fault prognosis of rotating machinery provides a way to detect possible machine damage at an early stage and prevent property...
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Jacopo Troisi, Angelo Colucci, Pierpaolo Cavallo, Sean Richards, Steven Symes, Annamaria Landolfi, Giovanni Scala, Francesco Maiorino, Alfonso Califano, Marco Fabiano, Gianmarco Silvestre, Federica Mastella, Alessandro Caputo, Antonio D?Antonio and Vincenzo Altieri
Here we describe a serum metabolomics signature of bladder cancer coupled with a robust ensemble machine learning algorithm able to effectively discriminate patients with and without bladder cancer. This signature, if further confirmed and validated on a...
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Meiqi Wang, Dan Liu, Yunchuanxiang Huang, Ziyi Jiang, Feng Wu, Yu Cen and Lan Ma
Esophageal cancer (EC) is one of the deadliest cancers worldwide. However, reliable biomarkers for early diagnosis, or those for the prognosis of therapy, remain unfulfilled goals for its subtype esophageal squamous cell carcinoma (ESCC). The purpose of ...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
Multi-view learning is a machine learning app0roach aiming to exploit the knowledge retrieved from data, represented by multiple feature subsets known as views. Co-training is considered the most representative form of multi-view learning, a very effecti...
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