Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks. [PDF]
Zhang Y, Li Q, Xin Y.
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Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges. [PDF]
Ahmed F +5 more
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A Cost-Effective Model for Predicting Recurrent Gastric Cancer Using Clinical Features. [PDF]
Chen CC +5 more
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Machine Learning Models Utilizing Oxidative Stress Biomarkers for Breast Cancer Prediction: Efficacy and Limitations in Sentinel Lymph Node Metastasis Detection. [PDF]
Martínez-Ramírez JM +3 more
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces. [PDF]
Philippopoulos PI +7 more
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting. [PDF]
Endebu T, Taye G, Deressa W.
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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches. [PDF]
Panda P +7 more
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Buzzing with Intelligence: A Systematic Review of Smart Beehive Technologies. [PDF]
Šabić J +3 more
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ITree: a user-driven tool for interactive decision-making with classification trees. [PDF]
Sokołowski H +4 more
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Detecting automobile insurance fraud using a novel penalty-driven feature selection method with particle swarm optimization and machine learning classifiers. [PDF]
Özaltın Ö, Erdemir ÖK.
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