A Case of Spondyloarthritis with Fulminant Extra-articular Features and Renal Amyloidosis and Difficulties in its Phenotypical Classification by P. Anantha Krishnan, Shyam Murti Bohare, Prasan Kumar Panda, Rajat Ranka

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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

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Could the quality characteristics of virgin olive oil influence its geographical classification using untargeted infrared spectroscopy and chemometrics? by Davide De Angelis, Michela Pia Totaro, Francesco Caponio, Michele Faccia, Giacomo Squeo

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Improving Early Detection of Dementia: Extra Trees-Based Classification Model Using Inter-Relation-Based Features and K-Means Synthetic Minority Oversampling Technique by Yanawut Chaiyo, Worasak Rueangsirarak, Georgi Hristov, Punnarumol Temdee

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Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions by Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh

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ON SYSTEMATIZING OF THE EXTRA-ARTICULAR SOFT TISSUE DISEASES by A. B. Zborovskiy

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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

“…It underscores the importance of accurate prognosis and therapeutic efficacy and advocates for the use of machine learning (ML) as a crucial diagnostic tool. The study employs Extra Trees Classification (ETC), Naïve Bayes Classification (NBC), and Logistic Regression Classification (LRC) to predict disc herniation. …”
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Network analysis of headache diagnoses using international classification of headache disorders, 3rd edition by Pengfei Zhang, Thomas Berk, Thomas Berk

“…Background and objectiveThe International Classification of Headache Disorders, Third Edition (ICHD-3), significantly influences clinicians’ understanding of headache disorders. …”
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Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazeln... by Derick Malavi, Katleen Raes, Sam Van Haute

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Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques by Satish Kumar, Sameer Sayyad, Arunkumar Bongale

“…Fused deposition modeling (FDM), a method of additive manufacturing (AM), comprises the extrusion of materials via a nozzle and the subsequent combining of the layers to create 3D-printed objects. FDM is a widely used method for 3D-printing objects since it is affordable, effective, and easy to use. …”
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DANA App Sentiment Analysis: Comparison of XGBoost, SVM, and Extra Trees by Muhamad Jodi Setiawan, Vinna Rahmayanti Setyaning Nastiti

“…This research aims to analyze sentiment on DANA application reviews to find out user perceptions by comparing Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Extra Trees Classifier classification methods. DANA application review data is obtained from the Kaggle site which consists of 50,000 Indonesian-language reviews labeled with positive and negative sentiments. …”
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Phenolic Metabolism Explains Bitterness and Pungency of Extra Virgin Olive Oils by Sonia Tomé-Rodríguez, Francisco Barba-Palomeque, Mónica Calderón-Santiago, José María Penco-Valenzuela, Feliciano Priego-Capote

“…Organoleptic features allow extra virgin olive oil (EVOO) to be distinguished from other commercial categories and to determine consumer preferences. …”
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Improving Sensory Differentiation: Refining the ‘Fruitiness’ Descriptor in Extra Virgin Olive Oil by Ángel García-Pizarro, Agustí Romero, Daniel Schorn-García, Jokin Ezenarro, Montserrat Mestres, Laura Aceña

“…Sensory analysis is a fundamental tool in evaluating extra virgin olive oil (EVOO) quality, playing an essential role in both consumer markets and international competitions that recognize and promote high-quality olive oils. …”
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¹H-NMR Spectroscopy and Chemometric Fingerprinting for the Authentication of Organic Extra Virgin Olive Oils by Silvana M. Azcarate, Maria P. Segura-Borrego, Rocío Ríos-Reina, Raquel M. Callejón

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Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach by Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, Ahmad Najmi Amerhaider Nuar, Zuriahati Mohd Yunos, Carolyn Salimun

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Extra criterial antiphospholipid antibodies in patients with antiphospholipid syndrome and systemic lupus erythematosus (preliminary data) by F. A. Cheldieva, T. M. Reshetnyak, M. V. Cherkasova, A. M. Lila

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A new clinical classification of congenital biliary dilatation – HUAXI CBD classification by Zhenyu Xie, Siyu Pu, Shuguang Jin, Bo Xiang, Jiayin Yang, Lvnan Yan

“…According to the HUAXI CBD classification method, 240 cases were type I, 48 cases were type II, 10 cases were type III, and 2 cases were type IV. …”
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A unique case of extra-cerebral diffuse glioneuronal tumor with oligodendroglioma-like features and nuclear clusters by Wu Maurice, MD, Naderian Ashkun, MD, Iyengar Krishnan, MBBS, MD, DNB, FRCPA, Coulthard Alan, FRCSEd, FRCR, FRANZCR, GAICD, Jeffree Rosalind, MBBS, MSc, FRACS, MHE

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Comparative evaluation of the possibilities of radiomic analysis of magnetic resonance imaging in the differential diagnostics of primary extra-axial intracranial tumors by E. N. Surovcev, A. V. Kapishnikov, A. V. Kolsanov

“…Comparing magnetic resonance imaging (MRI) abilities in differential diagnostic of three types of primary extra‑ axial brain tumors (benign and malignant meningiomas, and neuromas) based on standard semiotics and radiomic features.Patients and methods. …”
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PROJECT OF WORKING CLASSIFICATION OF ANKYLOSING SPONDILYTIS by Shandor F Erdes, A G Bochkova, T V Dubinina, S A Lapshina, L I Myasoutova, O A Rumyantseva, I G Salikhov

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