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Ivan Miguel Pires on Muck Rack

Ivan Miguel Pires

As seen in: Nature, The Independent (UK), PLOS ONE, Frontiers, Future Internet, MDPI, The Conversation, PeerJ
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Articles

A scalable solution for multi-symptom disease prediction and lifestyle recommendations using machine learning

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By Akbar Hussain, Saif Al-jumaili, Faiza Tahir, Amna Anwar, Frederico Branco, Ivan Miguel Pires, Sehrish Munawar Cheema, Eshmal Malik
| Nature Verified
Abstract Accurate prediction of diseases from multiple co-occurring symptoms remains an important challenge in intelligent healthcare systems. Machine-learning models can support early symptom-based risk screening; however, their clinical use is limited by dataset quality, lack of external validation, interpretability concerns, and the risk of overstated diagnostic claims.
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Maintenance of approach velocity despite increasing internal load during repeated pole vault attempts

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By Hilal Kalkan, Saif Al-jumaili, Adil Deniz Duru, Frederico Branco, Ivan Miguel Pires, Savaş Akbaş, Serdar Orkun Pelvan, Hasan Birol Çotuk
| Nature Verified
Abstract Biomechanical analyses identify approach velocity—particularly in the final meters—as the primary mechanical determinant of vertical displacement in pole vault; yet how this velocity changes across repeated attempts performed below personal best height remains a practically important but largely untested question.
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A dataset of paired smartphone and BioPlux accelerometer measurements for vertical jump analysis

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By Youssef RADID, Nuno Garcia, Frederico Branco, Paulo Coelho, Ivan Miguel Pires, Saif Al-jumaili
| Nature Verified
Abstract This study presents and validates a dataset designed to evaluate the accuracy of a smartphone application for measuring vertical jump time. A total of 550 trials were recorded, with jump flight time simultaneously measured by a smartphone (Android) and a reference wearable accelerometer (BioPlux). Two predictive models, Least Squares (LSQ) and Multilayer Perceptron (MLP), were trained to estimate BioPlux flight time from smartphone readings.
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