An Enhanced Machine Learning Framework for Type 2 Diabetes Classification Using Imbalanced Data with Missing Values by Kumarmangal Roy, Muneer Ahmad, Kinza Waqar, Kirthanaah Priyaah, Jamel Nebhen, Sultan S Alshamrani, Muhammad Ahsan Raza, Ihsan Ali

“…Firstly, the study investigated handling missing data adopting data imputation, namely, median value imputation, K-nearest neighbor imputation, and iterative imputation. …”
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Data-driven prediction of rate of penetration (ROP) in drilling operations using advanced machine learning models by Guoli Huang, Sarah Kanaan Hamzah, Pinank Patel, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Deepak Gupta, S. AbdulAmeer, Mariem Alwan, Zahraa Saad Abdulali, Mahmood Jasem Jawad, Hiba Mushtaq, Mohammad Mahtab Alam, Hojjat Abbasi

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Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome by Ravi Shankar, Alexander Wenjun Yip

“…A mixed-methods analysis of 12,345 IBS-related posts from X.com was conducted, collecting data using focused search terms (‘IBS’, ‘irritable bowel syndrome’, ‘#ibs’, ‘bowel syndrome’). …”
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Analysis of Seismic Ionospheric Effects and Prediction of TEC During Earthquakes Occurred in Indonesia Based on GPS Data by R. Mukesh, Sarat C. Dass, M. Vijay, S. Kiruthiga, Vijanth Sagayan Asirvadam

“…The OKSM 1 model is constructed with the input parameters like solar radio flux at 10.7 cm (F10.7), disturbance storm time index (Dst), solar wind (Sw), sunspot number (SSN), and TEC values, while the OKSM 2 model is developed with the parameters like geomagnetic indices (Kp and Ap) and solar indices SSN and F10.7 along with TEC data. The ARMA model is constructed with TEC data. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Therefore, the study presents an Exploratory Analysis of Longitudinal Artificial Intelligence for Cognitive Fatigue Detection Using Neurophysiological Based Biosignal Data (EALAI-CFDNBD) approach. The main aim of the EALAI-CFDNBD model is to detect cognitive fatigue using neurophysiological-based biosignal data. …”
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Researchers’ perspectives on the integration of molecular and genomic data into malaria elimination programmes in Africa: a qualitative study by Paulina Tindana, Daniel Enos Sekwo, Leonard Baatiema, Abdoulaye Djimde, the Pathogen Genomics Diversity Network, Africa (PDNA)

“…Challenges included limited funding, lack of interest and capacity among National Malaria Control Programmes (NMCP) to use research evidence effectively, and difficulties in communicating data implications to policymakers due to the absence of WHO-certified use cases. …”
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Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data by Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu

“…We then revealed Beijing's construction time from 1990 to 2020 by overlaying building footprint data with extracted year information from Landsat images. …”
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Analysis of Ionospheric Disturbances in China During the December 2023 Geomagnetic Storm Using Multi-Instrument Data by Jun Tang, Sheng Wang, Jintao Wang, Mingxian Hu, Chaoqian Xu

“…This study investigates the ionospheric response over China during the geomagnetic storm that occurred on 1–2 December 2023. The data used include GPS measurements from the Crustal Movement Observation Network of China, BDS-GEO satellite data from IGS MEGX stations, [O]/[N₂] ratio information obtained by the TIMED/GUVI, and electron density (Ne) observations from Swarm satellites. …”
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Characterization of recurrent UMOD variants (p.C255Y y p.Q316P) in a Galician cohort: genotype-phenotype correlation and clinical implications by Eloísa Sánchez-Cazorla, Borja Temes-Álvarez, Pilar Oliveros-Martínez, Pedro Fortes-González, María García-Murias, Ana Barcia de la Iglesia, Noa Carrera, Miguel Ángel García-González

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Exploring Long Covid Prevalence and Patient Uncertainty by Sociodemographic Characteristics Using GP Patient Survey Data by Mirembe Woodrow, Nida Ziauddeen, Dianna Smith, Nisreen A. Alwan

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Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques by S. Aanjankumar, Monoj Kumar Muchahari, Shabana Urooj, Ishmeet Kaur, Rajesh Kumar Dhanaraj, Hanan Abdullah Mengash, S. Poonkuntran, Parag Ravikant Kaveri

“…The analysis of experimental results validates the model’s efficiency in securing healthcare data, with implications for broader applications in secure, privacy-preserving medical data security analysis.…”
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Dominant Tree Species Mapping Using Machine Learning Based on Multi-Temporal and Multi-Source Data by Heyi Guo, Sornkitja Boonprong, Shaohua Wang, Zhidong Zhang, Wei Liang, Min Xu, Xinwei Yang, Kaimin Wang, Jingbo Li, Xiaotong Gao, Yujie Yang, Ruichen Hu, Yu Zhang, Chunxiang Cao

“…This study underscores the potential of combining synthetic aperture radar (SAR) and optical data for large-scale tree species classification, with significant implications for forest monitoring and management.…”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

“…ConclusionsWe were able to observe people’s eating habits using social media data to investigate the effects of COVID-19 on dietary behaviors. …”
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Are People Living With Dementia Receiving High Intensity Statin Therapy After Stroke? A Population‐Based Cohort Study by Leonie Picton, Johnson George, J. Simon Bell, Jenni Ilomäki

“…Records of statin dispensing within 60 days postdischarge were extracted from prescription claims data. The intensity of the first postdischarge statin dispensing was determined. …”
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Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach by Deepti Putcha, Yuta Katsumi, Alexandra Touroutoglou, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Paul Aisen, Jeffrey L. Dage, Tatiana Foroud, Clifford R. Jack, Joel H. Kramer, Kelly N. H. Nudelman, Rema Raman, Prashanthi Vemuri, Alireza Atri, Gregory S. Day, Ranjan Duara, Neill R. Graff-Radford, Ian M. Grant, Lawrence S. Honig, Erik C. B. Johnson, David T. Jones, Joseph C. Masdeu, Mario F. Mendez, Erik Musiek, Chiadi U. Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon Sha, R. Scott Turner, Thomas S. Wingo, David A. Wolk, Kyle Womack, Maria C. Carrillo, Gil D. Rabinovici, Bradford C. Dickerson, Liana G. Apostolova, Dustin B. Hammers, the LEADS Consortium

“…These findings have important implications for diagnostic accuracy and treatment considerations.…”
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Primary sclerosing cholangitis–inflammatory bowel disease: Epidemiology, mortality, and impact of diagnostic sequence by Kristel K. Leung, Wenbin Li, Bettina Hansen, Aliya Gulamhusein, Lauren Lapointe-Shaw, Abdel Aziz Shaheen, Amanda Ricciuto, Eric I. Benchimol, Jennifer A. Flemming, Gideon M. Hirschfield

“…Methods: Incidence and prevalence of PSC-IBD and IBD (2002–2018) were evaluated using validated health administrative data-derived cohorts from Ontario, Canada (population ∼15 million). …”
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SEPLINE: Socioeconomic Position in Epidemiological Research—A National Guideline on Danish Registry Data by Hjorth CF, Kjærulff TM, Thomsen MK, Cronin-Fenton D, Dalton SO, Olsen MH

“…Insights from these workshops were integrated into iterative refinements of the guideline.Conclusions and Implications: The guideline provides a structured framework for conducting socioeconomic epidemiological research using Danish registry data, offering specific information on data sources and recommendations about variable selection, measurement timing, and data handling. …”
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Evaluating reporting trends and adverse effects of cosmetic products in Saudi Arabia based on SFDA cosmovigilance data by Mohammed A. Aljallal, Mishal I. Alhumaid, Fai A. Alkathiri

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TECTONOSTRATIGRAPHIC RESPONSE TO FAULTING IN RED BED ENVIRONMENT USING LIDAR DATA: THE ABU ZENIMA FORMATION SINAI by Auwalu Yola Lawan, Abdullah Musa Ali, Byami Andrew Jolly

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Comprehensive pan-cancer analysis of NLRs family as prognostic and immunity markers based on multi-omics data by Xianhui Wen, Miaomiao Cui, Junhua Zhang, Hai Huang

“…Abstract Background Members of the NOD-like receptors(NLRs)gene family members involved in inflammasome formation have been implicated in cancer initiation, development, progression, angiogenesis, and invasion. …”
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