Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data by Jiaxin Fan, Shuai Cao, Hang Peng, Yuanjie Zhi, Shuqin Zhan, Rui Li

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An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales by Monica Borunda, Arturo Ortega Vega, Raul Garduno, Luis Conde, Manuel Adam Medina, Jeannete Ramírez Aparicio, Lorena Magallón Cacho, O. A. Jaramillo

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Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods by Fernanda Cristina Barbosa Lana, Carolina Coimbra Marinho, Bruno Barbosa Miranda de Paiva, Lucas Rocha Valle, Guilherme Fonseca do Nascimento, Leonardo Chaves Dutra da Rocha, Marcelo Carneiro, Joanna d‘Arc Lyra Batista, Fernando Anschau, Pedro Gibson Paraiso, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini, Alexandre Vargas Schwarzbold, Danyelle Romana Alves Rios, Marcos André Gonçalves, Milena Soriano Marcolino

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Unveiling ac4C modification pattern: a prospective target for improving the response to immunotherapeutic strategies in melanoma by Jianlan Liu, Pengpeng Zhang, Chaoqin Wu, Binlin Luo, Xiaojian Cao, Jian Tang

“…We developed and confirmed an excellent acRG-related signature (acRGS) utilizing a comprehensive set of 101 algorithm combinations derived from 10 machine learning algorithms. Hereby, the acRGS, including MYO10, ZNF667, MRAS, SCO2, MAPK10, PNMA6A, KPNA2, NT5DC2, BAIAP2L2 and NDST3, delineated ac4C-associated mRNA modification patterns in melanoma. …”
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Traffic Patterns and Emergency Medical Services Prenotification Transport Estimates in Trauma Activations [Letter] by Luthfiyah S, Triwiyanto T, Ismath M

Subjects: “…emergency medical services (ems) traffic patterns and transport estimates trauma activations real-time traffic monitoring ai and machine learning in ems…”
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The impacts of specific place visitations on theft patterns: a case study in Greater London, UK by Tongxin Chen, Kate Bowers, Tao Cheng

“…Abstract Exploring the impacts of population place visitation on crime patterns is crucial for understanding crime mechanisms and optimising resource allocation in crime prevention. …”
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Bioinformatics and experimental approach identify DNMT3A as a diagnostic marker associated with regulated cell death patterns in psoriasis by Linyu Zhu, Zhiyu Ye, Ling Wang, Shaomin Chen, Menger Guo, Lvya Zhang, Yuansheng Wu

“…Subsequently, RCD.score was conducted through machine-learning. Two psoriasis subclasses were identified., each exhibiting distinctive molecular patterns and immunologic landscape. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

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Review of Automatic Estimation of Emotions in Speech by Douglas O’Shaughnessy

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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

Subjects: “…computer science - computer vision and pattern recognition…”
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Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia by E. A. Ivanova, A. R. Suleymanov, D. A. Nikitin, M. V. Semenov, E. V. Abakumov

“…These results highlight the potential of machine learning techniques to visualize predictive biogeographic patterns in soil microbial taxa abundance at the phylum level. …”
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What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants by Radwan Qasrawi, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah

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Automatic location of relevant time slices and patterns in both signals and video-movies: real-time and off-line visualization by J. Vega, R. Castro

Subjects: “…machine learning…”
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Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory—An Example Based on the BioVid Heat Pain Database by Peter Bellmann, Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker

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Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related risk patterns by Yimin E, Zhichao Yao, Maolin Ge, Guijun Huo, Jian Huang, Yao Tang, Zhanao Liu, Ziyi Tan, Yuqi Zeng, Junjie Cao, Dayong Zhou

“…This study aimed to develop a machine learning model based on routine blood tests and derived indices to predict plaque vulnerability and assess sex-specific risk patterns across biomarker value ranges. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…Machine learning techniques, including K-Nearest Neighbors (KNN), decision trees, logistic regression, and Support Vector Machines (SVMs), were employed to classify gear shifts accurately. …”
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Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Machine learning (ML) practitioners are always in pursuit of refined data to develop robust and generalizable ML models to solve real-world problems. …”
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Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals by Gabriel Ng, Aliaa Gouda, Jan Andrysek

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Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

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Traffic Patterns and Emergency Medical Services Prenotification Transport Estimates in Trauma Activations [Response to Letter] by Gorgens S, Klein EN, Bank MA, Jafari D

Subjects: “…emergency medical services (ems) traffic patterns and transport estimates trauma activations real-time traffic monitoring ai and machine learning in ems…”
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