Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…Digitalization spreads day by day around the world; thus, the amount of data collected is on the rise. An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. …”
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Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection by Albert Y. Kim, Valentine Herrmann, Ross Barreto, Brianna Calkins, Erika Gonzalez‐Akre, Daniel J. Johnson, Jennifer A. Jordan, Lukas Magee, Ian R. McGregor, Nicolle Montero, Karl Novak, Teagan Rogers, Jessica Shue, Kristina J. Anderson‐Teixeira

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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…As urban traffic systems become increasingly complex, traditional traffic data collection methods based on fixed detectors face challenges such as poor data quality and acquisition difficulties. …”
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Contextualising knowledge translation in nursing homes: A transdisciplinary online workshop by Geertien C. Boersema, Gisela H. van Rensburg, Benjamin S. Botha

Subjects: “…data collection method…”
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Developing a Classic Grounded Theory Research Study Protocol by Kara L. Vander Linden, Patrick A. Palmieri

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A Method for Constructing a Synthesis Health Index for Metro Vehicle Wheelsets by Min Luo, Tianyi Zhong, Jinzhen Dai

“…The procedural steps describe the detailed process from data collection, preprocessing, and feature extraction to health index construction. …”
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L’appropriation collective d’un dispositif pédagogique à l’école primaire. La construction d’un compromis provisoire entre des principes de justice différents : le cas du « plan de... by Gwénaël Lefeuvre, Bruno Fondeville, Rémi Bonasio, Philippe Veyrunes

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A mixed methods and triangulation model for increasing the accuracy of adherence and sexual behaviour data: the Microbicides Development Programme. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Angela Crook, Andrew Nunn, Richard Hayes, Sheena McCormack

“…<h4>Background</h4>The collection of accurate data on adherence and sexual behaviour is crucial in microbicide (and other HIV-related) research. …”
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Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

“…In addition, sequential data such as daily lab results taken seven consecutive days after admission are also collected. …”
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Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data by Jeppe Theiss Kristensen, Paolo Burelli

“…In this article, we present a number of potential solutions for the estimation of difficulty under such conditions, and we showcase the results of a comparative study intended to understand which method and which types of data perform better in different scenarios. …”
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Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods by Jabraeil Vahedi, Masoumeh Niazifar, Mohammad Ghahremanzadeh, Akbar Taghizadeh, Soheila Abachi, Valiollah Palangi, Maximilian Lackner

“…This research aimed to evaluate the attitudes of the livestock breeders of Ahar City towards the improved breeds of sheep and the influential factors. We collected data through in-person interviews using a simple random sampling method, surveying 100 sheep breeders in Ahar. …”
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Study on Correction Methods for GPM Rainfall Rate and Radar Reflectivity Using Ground-Based Raindrop Spectrometer Data by Lin Chen, Huige Di, Dongdong Chen, Ning Chen, Qinze Chen, Dengxin Hua

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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…ObjectiveThis study aimed to develop a deep learning–based diagnostic system that integrates facial emotion recognition with validated questionnaires to detect gelotophobia in individuals with or without ASD. MethodsThe system was trained to identify ASD status using a balanced dataset of 2932 facial images (n=1466; 50% from individuals with ASD and n=1466; 50% from neurotypical individuals). …”
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AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Md. Anisul Haque Sajeeb, Md. Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

“…This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). The data is systematically collected from patients admitted to Aalok Healthcare Ltd., situated in Dhaka, Bangladesh., offering an opportunity to analyze hematological variations in patients with anemia. …”
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Better methods, better data: landscaping the priorities for improving methodologies in vector control [version 2; peer review: 4 approved] by Rosemary Susan Lees, Katherine Gleave, Giorgio Praulins

“…We call for collective efforts in the pro-active development, validation, and consistent implementation of suitable methods in vector control to produce the data needed to make robust decisions.…”
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Collecting sociodemographic data in primary care: qualitative interviews in community health centres by Rachel Thelen, Sara Bhatti, Jennifer Rayner, Agnes Grudniewicz

“…Background: Many primary care organisations do not routinely collect sociodemographic data (SDD), such as race, sex, or income, despite the importance of these data in addressing health disparities. …”
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The use of photography for qualitative data collection with adolescent mothers: a scoping review by Daniela de Castro Barbosa Leonello, Giovanna Ushirobira Souza, Rhyquelle Rhibna Neris, Giovanna Cristina Machado Kayzuka, Marina Prado de Souza, Adriana Moraes Leite

“…The objective of this research was to map the development of Photo-Elicitation and Photovoice methods with adolescent mothers as data collection techniques. …”
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Adaptive personalized privacy-preserving data collection scheme with local differential privacy by Haina Song, Hua Shen, Nan Zhao, Zhangqing He, Wei Xiong, Minghu Wu, Mingwu Zhang

“…However, it is inelegant and unpromising for all participants to accept the same level of privacy preservation due to their personalized preferences. Here, an adaptive data collection scheme is proposed to realize personalized privacy preservation while achieving higher data utility, in which two different LDP perturbation methods are adaptively chosen by data participants according to their personalized privacy preferences. …”
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Prediction of parison formation using process data in extrusion blow molding by Tokunaga Tomohiro, Kajiwara Toshihisa, Nakayama Yasuya

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A Deep Learning Inversion Method for Airborne Time-Domain Electromagnetic Data Using Convolutional Neural Network by Xiaodong Yu, Peng Zhang, Xi Yu

“…Due to the high detection efficiency of the airborne time-domain electromagnetic method, it can quickly collect electromagnetic response data for large area-wide regions, but it also brings great challenges to the inversion interpretation of the data because there are numerous survey data that need to be inverted. …”
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