Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

“…It is observed that the parametric values attained for the datasets are almost similar. Therefore, this research indicates the robustness of the FE and FS along with classifier techniques with two different datasets.…”
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Author Correction: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning by Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, Clare Pacini, Miguel D. Sousa, Susana Vinga, Roger R. Reddel, Phillip J. Robinson, Mathew J. Garnett, Qing Zhong, Emanuel Gonçalves

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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

“…In this study, we aim to compare different ML diagnostic models and obtain the most valuable features for asthma diagnosis using data from the National Health and Nutrition Examination Survey (NHANES) dataset. A total of 8,888 participants with available asthma diagnosis data from the 2017–2018 NHANES survey were included. …”
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Pengaruh Dataset terhadap Performa Convolutional Neural Network pada Klasifikasi X-Ray Pasien Covid-19 by Chyntia Raras Ajeng Widiawati

“…Penelitian ini bertujuan untuk melihat pengaruh kualitas dataset dan jumlah dataset terhadap performa CNN pada klasifikasi X-Ray pasien COVID-19. …”
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UK multiple sclerosis risk-sharing scheme: a new natural history dataset and an improved Markov model by Jacqueline Palace, Martin Duddy, Thomas Bregenzer, Mike Boggild, Joel Oger, Helen Tremlett, Charles Dobson, Fheng Zhu

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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Users can interact with and retrieve data as needed, without downloading the complete dataset. Given the depth of neuroimaging phenotyping, leveraging ultra-high-gradient, high-field MRI, MEG and TMS, this dataset will facilitate multi-scale and multi-modal investigations of the healthy human brain.…”
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WF-PPG: A Wrist-finger Dual-Channel Dataset for Studying the Impact of Contact Pressure on PPG Morphology by Matthew Yiwen Ho, Hung Manh Pham, Aaqib Saeed, Dong Ma

“…To address this issue, we present a novel dataset (termed WF-PPG) comprising PPG signals from the wrist measured under varying contact pressures, along with high-quality PPG signals from the fingertip captured simultaneously. …”
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Identification of a distinctive immunogenomic gene signature in stage-matched colorectal cancer by Pankaj Ahluwalia, Ashis K. Mondal, Ashutosh Vashisht, Harmanpreet Singh, Ahmet Alptekin, Kalyani Ballur, Nivin Omar, Meenakshi Ahluwalia, Kimya Jones, Amanda Barrett, Vamsi Kota, Ravindra Kolhe

“…Several independent datasets were explored to validate the gene signature. …”
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BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098 by Anne Reichmuth, Oldrich Rakovec, Friedrich Boeing, Sebastian Müller, Luis Samaniego, Andreas Marx, Hanna Komischke, Andreas Schmidt, Daniel Doktor

“…Nevertheless, a consistent dataset with identical model variables from historic and projected periods is rare. …”
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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…Penelitian ini bertujuan mengukur pengaruh teknik fine tuning dan augmentasi dataset pada model transfer learning CNN Mobilenet, Efficientnet, dan Nasnetmobile dengan dataset yang variasi jumlah dataset yang memiliki jumlah yang terbatas. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

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AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

“…This approach significantly enhanced model performance, increasing the R² from 0.75 with the original dataset to 0.85. The model was further validated using two FDA-approved drugs for T. gondii treatment—pyrimethamine and trimethoprim—yielding relative errors of 3.35 % and 2.15 % in pIC50 predictions compared to experimental values. …”
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Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy by Muhammad Ezar Al Rivan, Steven Steven, William Tanzil

“…Optimasi dilakukan dengan cara mengganti bagian pada Fuzzy C-Means dan K-Means pada saat menentukan pusat cluster. Dataset yang digunakan pada penelitian adalah dataset Diabetic Retinopathy. …”
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A Dataset on “Social Media and India’s Foreign Policy: The Case Study of X Diplomacy During the Covid-19 Pandemic” by Mukund V. Narvenkar

“…This dataset analyzes “Social Media and India’s Foreign Policy: The Case Study of X Diplomacy during the Covid-19 Pandemic”. …”
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Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

“…This study explores the integration of semantic segmentation and explainable AI techniques on the MnMs-2 Cardiac MRI dataset. We propose a segmentation model that achieves competitive dice scores (nearly 90 %) and Hausdorff distance (less than 70), demonstrating its effectiveness for cardiac MRI analysis. …”
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A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century by Endalkachew Abebe Kebede, Kevin Ong’are Oluoch, Stefan Siebert, Piyush Mehta, Sarah Hartman, Jonas Jägermeyr, Deepak Ray, Tariq Ali, Kate A. Brauman, Qinyu Deng, Wei Xie, Kyle Frankel Davis

“…Here we construct a new data library of subnational crop-specific irrigated and rainfed harvested area statistics and combine it with global gridded land cover products to develop a global gridded (5-arcminute) irrigated and rainfed cropped area (MIRCA-OS) dataset for the years 2000 to 2015 for 23 crop classes. …”
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Unfolder: fast localization and image rectification of a document with a crease from folding in half by A.M. Ershov, D.V. Tropin, E.E. Limonova, D.P. Nikolaev, V.V. Arlazarov

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Cost-effectiveness of Catheter Ablation Versus Antiarrhythmic Drug Therapy for the Treatment of Atrial Fibrillation: A Canadian Perspective by Yaariv Khaykin, Peter J. Mallow, John A. Rizzo, Atul Verma, Lauren Chun, Shelby Olesovsky, Matthew R. Reynolds

“…Anti-arrhythmic drug (AAD) therapy and catheter ablation (CA) are the two common treatments for paroxysmal AF. …”
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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

“…Our research aims to evaluate automated segmentation and classification techniques for diabetic retinopathy and glaucoma using diverse retinal image datasets, including DRIVE, REVIEW, STARE, HRF, and DRION. …”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Fokus penelitian ini adalah untuk pengembangan teknik sentiment analysis berbasis machine learning yang disebut juga teknik tersupervisi pada dataset Twitter. Sebagian besar sentiment analysis pada dataset Twitter berbahasa Indonesia mengandalkan single machine learning algorithm. …”
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