Automatic Feature Selection for Imbalanced Echocardiogram Data Using Event-Based Self-Similarity by Huang-Nan Huang, Hong-Min Chen, Wei-Wen Lin, Rita Wiryasaputra, Yung-Cheng Chen, Yu-Huei Wang, Chao-Tung Yang

“…Critical features correlated with disease progression were identified by leveraging self-similarity patterns. …”
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Identification of exosome-related genes associated with prognosis and immune infiltration features in pancreatic cancer by Jie Wang, Ming Qing, Jie Gui, Pingyong Zhong, Hao Hua

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Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning by ShengHui Miao, YiJing Liu, Min Li, Jing Yan

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Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification by Xin Ye, Hanwen Yu, Yan Yan, Tieming Liu, Yan Zhang, Taoli Yang

“…Statistical analysis of SAR-derived moisture content reveals significant differences in moisture variation patterns between diseased and healthy trees, enhancing the interpretability of the input features for the neural network. …”
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Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…Therefore, this paper introduces an optimal features-assisted lightweight framework that integrates EfficientNet-B3 with a spatial attention (SA) mechanism to capture healthy and unhealthy patterns effectively. …”
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Imaging Features and Clinical Characteristics of Granular Cell Tumors: A Single-Center Investigation by Hui Gu, Lan Yu, Yu Wu

“…<b>Conclusions:</b> GCTs exhibit distinct imaging patterns based on their anatomical location. While certain features (e.g., star-like crack signs) are suggestive, imaging cannot reliably differentiate benign from malignant variants. …”
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Brain Connectomics’ Modification to Clarify Motor and Nonmotor Features of Myotonic Dystrophy Type 1 by Laura Serra, Matteo Mancini, Gabriella Silvestri, Antonio Petrucci, Marcella Masciullo, Barbara Spanò, Mario Torso, Chiara Mastropasqua, Manlio Giacanelli, Carlo Caltagirone, Mara Cercignani, Giovanni Meola, Marco Bozzali

“…This study provides a comprehensive assessment of brain abnormalities that fit well with both motor and nonmotor clinical features experienced by patients in their everyday life. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Then, domain-specific features related to network traffic patterns, including packet size distribution, packet count, and packet rate, were extracted. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…Our approach consists of a highly compact neural network combined with feature engineering that was trained using SERS patterns from experimental measurements. …”
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Neurodegeneration and choroidal vascular features on OCT in the progression to advanced age-related macular degeneration by Inês Costa, Ana Carvalho, Helton Andrade, Bruno Pereira, Pedro Camacho

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Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway by Tomoko Aoki, Naoshi Nishida, Yutaka Kurebayashi, Kazuko Sakai, Naoto Fujiwara, Masakatsu Tsurusaki, Kohei Hanaoka, Masahiro Morita, Hirokazu Chishina, Masahiro Takita, Satoru Hagiwara, Hiroshi Ida, Kazuomi Ueshima, Yasunori Minami, Atsushi Takebe, Takaaki Murase, Keiko Kamei, Takuya Nakai, Ippei Matsumoto, Kazuto Nishio, Masatoshi Kudo

“…Conversely, the Wnt/β-catenin-high environment (19.9%) features elevated GLUL, APOB and CYP3A4 expression, frequent CTNNB1 (D32–S37) mutations, and an immune-desert/excluded phenotype. …”
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Repeatability and prognostic value of radiomic features: a study in esophageal cancer and nasopharyngeal carcinoma by Jie Gong, Fan Meng, Changhao Liu, Jianchao Lu, Jie Li, Zhi Yang, Hongfei Sun, Xinzhi Teng, Jiang Zhang, Jing Cai, Mei Shi, Lina Zhao

“…Nevertheless, the effects of bin count, feature class, and filter on repeatability demonstrated consistent patterns across different cancer types, imaging modalities, and pathological regions. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…The aim of this research is to apply the Dombi t-norm (DTN) and t-conorm (DTCN) for aggregating the information within the circular intuitionistic fuzzy (C-IF) framework to evaluate the teaching quality of traditional decorative patterns. Another important feature of the proposed study is that prioritization is used in decision-making preferences by using a priority-based weight vector. …”
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Clinical burden of major depressive disorder with versus without prominent anhedonia using a real-world electronic health records and claims linked database by Hrishikesh Kale, Stevan Geoffrey Severtson, Becca S. Feldman, Tiina Drissen, Nilanjana Dwibedi, Andrew J. Cutler, Carl D. Marci

“…Abstract Background Anhedonia is a core feature of major depressive disorder (MDD), yet the clinical burden in real-world settings is not well understood. …”
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Electrically conductive membranes featuring integrated porous feed spacers for superior antifouling performance by Yazan Ibrahim, Muzamil Khatri, Noman Khalid Khanzada, Nidal Hilal

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Spatiotemporal Characteristics and Associated Circulation Features of Summer Extreme Precipitation in the Yellow River Basin by Degui Yao, Xiaohui Wang, Jinyu Wang

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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The paper aims to present copy-move forgery detection algorithms with the help of advanced feature descriptors, such as local ternary pattern, local phase quantization, local Gabor binary pattern histogram sequence, Weber local descriptor, and local monotonic pattern, and classifiers such as optimized support vector machine and optimized NBC. …”
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Plantar acral melanoma: epidemiological, clinical, dermoscopic and histopathological features. A Brazilian cohort by Lucas Campos Garcia, João Renato Vianna Gontijo, Flávia Vasques Bittencourt

“…Polychromia was the most prevalent finding (94.4%). The parallel ridge pattern (PRP) had a prevalence of 78% and a serrated pattern was associated with lower Breslow thickness (p = 0.041). …”
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Vegetative imbalance features in the patients with peptic ulcer disease: current issues of pathogenesis and treatment by T. V. Kovalenko, A. A. Goryacheva, A. V. Barsukov

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The Relationship Between Orthodontic Malocclusion and Morphological Features of Sella Turcica Bridging and Ponticulus Posticus by Roberta Lekavičiūtė, Diana Šopagienė, Dainius Razukevičius, Giedrė Trakinienė, Kristina Lopatienė

“…<i>Conclusions</i>: The morphological features of sella turcica bridging and ponticulus posticus were related to sex and the orthodontic skeletal pattern. …”
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