P253 Next-generation phenotyping facilitates the identification of structural brain malformations in rare disorders through computational brain MRI analysis by Tzung-Chien Hsieh, Shriya Jaddu, Hannah Weiland, Merle ten Hagen, Jing-Mei Li, Chi-Chia Chang, Sun-Yuan Hsieh, Hsin-Hung Chou, Gholson Lyon, William Dobyns, Wei-Liang Chen

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A model predicting the 6-year all cause mortality of patients with advanced schistosomiasis after discharge: Derived from a large population-based cohort study. by Lanyue Pan, Chunmei Wu, Ping Li, Jiaquan Huang, Yizhi Wu, Guo Li

“…The predictive value of different models was evaluated and compared using the receiver operating characteristic (ROC) curves, Akaike information criterion (AIC), net reclassification improvement (NRI), C statistic, and integrated discrimination improvement (IDI).…”
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Student Manual Kabale University by Kabale University

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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Here, ResNet101 avoided gradient vanishing, while AlexNet provided 4096-dimensional features to train the ensemble-of-ensemble (E2E) classifier for consensus-based breast cancer detection. …”
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A Comparative Analysis of Energy Efficiency of Two Sprinkler Irrigation Systems for Wheat Cultivation (Case Study: Dehgolan Plains, Kurdistan) by P. Tahmasbi, F. Dalvand, S.A. Hosseini, B. Karimi, H. Ghadrshnas

“…As a result, energy productivity, energy use efficiency, specific energy, and net energy indexes were used to investigate the energy consumption trend of wheat in the two mentioned irrigation systems. …”
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Acceptability patterns of hypothetic taxes on different types of foods in France by Florian Manneville, Barthélemy Sarda, Emmanuelle Kesse-Guyot, Sandrine Péneau, Bernard Srour, Julia Baudry, Benjamin Allès, Yann Le Bodo, Serge Hercberg, Mathilde Touvier, Chantal Julia

“…Latent class analysis was used to identify patterns of food taxes acceptability. Setting: NutriNet-Santé prospective cohort study. Participants: Adults (n 27 900) engaged in the French NutriNet-Santé e-cohort. …”
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Examining Deep Learning Pixel-Based Classification Algorithms for Mapping Weed Canopy Cover in Wheat Production Using Drone Data by Judith N. Oppong, Clement E. Akumu, Samuel Dennis, Stephanie Anyanwu

“…The results show that PSPNet outperformed both U-Net and DLV3 in classification performance, with PSPNet achieving the highest overall mapping accuracy of 80%, followed by U-Net at 75% and DLV3 at 56.5%. …”
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Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

“…By integrating insights from both text and video analysis, TEBC-Net gains a comprehensive understanding of the user’s emotional state and intent. …”
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Population dynamics by E. G. Cooch, A. A. Dhondt

“…The utility of combining sources of information into analysis of populations was the explicit subject of the other two papers. …”
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Serum-biomarker-based population screening model for hepatocellular carcinoma by Wenmin Liao, Wenbin Lin, Zhonglian He, Chenyang Feng, Yuying Liu, Zixian Wang, Ruizhi Wang, Meifang He, Shuqin Dai, Ying Sun, Wei Wei, Peisong Chen, Chaofeng Li

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Interpretable capsule networks via self attention routing on spatially invariant feature surfaces by Peizhang Li, Jiyuan Ru, Qing Fei, Zhen Chen, Bo Wang

“…SISA-CapsNet employs capsules to encode spatial features from specific image regions and classifies these features through a self-attention routing mechanism. …”
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Cost-effectiveness of a primary healthcare intervention to treat male lower urinary tract symptoms: the TRIUMPH cluster randomised controlled trial by Matthew J Ridd, Jodi Taylor, Jonathan Rees, Stephanie MacNeill, Emily Sanderson, Athene Lane, Gordon Taylor, Luke A Robles, Mandy Fader, Nikki Cotterill, Margaret Macaulay, Sian Noble, Madeleine Cochrane, Jessica Frost, Lucy McGeagh, Marcus J Drake, Jo Worthington, Hashim Hashim

“…Adjusted mean differences in costs and QALYs and incremental net monetary benefit were estimated.Results 866 of 1077 (80.4%) participants had complete data and were included in the base-case analysis. …”
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Blood-based epigenome-wide association study and prediction of alcohol consumption by Elena Bernabeu, Aleksandra D. Chybowska, Jacob K. Kresovich, Matthew Suderman, Daniel L. McCartney, Robert F. Hillary, Janie Corley, Maria Del C. Valdés-Hernández, Susana Muñoz Maniega, Mark E. Bastin, Joanna M. Wardlaw, Zongli Xu, Dale P. Sandler, Archie Campbell, Sarah E. Harris, Andrew M. McIntosh, Jack A. Taylor, Paul Yousefi, Simon R. Cox, Kathryn L. Evans, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni

“…We first create a blood-based epigenetic score (EpiScore) of alcohol consumption using elastic net penalized linear regression. We explore the effect of pre-filtering for CpG features ahead of elastic net, as well as differential patterns by sex and by units consumed in the last week relative to an average week. …”
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Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images by Vinh Hiep Dang, Minh Tri Nguyen, Ngoc Hoang Le, Thuan Phat Nguyen, Quoc-Viet Tran, Tan Ha Mai, Vu Pham Thao Vy, Truong Nguyen Khanh Hung, Ching-Yu Lee, Ching-Li Tseng, Nguyen Quoc Khanh Le, Phung-Anh Nguyen

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Sikap Pengurus Terhadap Perbedaan Nilai Tagihan Dalam Proses Penundaan Kewajiban Pembayaran Utang by Azkia An Nida Fasya, Andriyanto Adhi Nugroho

“…NET Satu Indonesia (In PKPU). This study also aims to complement previous writings, so that this paper will explain more specifically about the verification stages in the PKPU process and the role of the management in these stages and the legal consequences that arise afterwards by making the PT NET Satu Indonesia PKPU case (In PKPU ) as the study material. …”
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Examination and Tracing of Stable Isotopes of Carbon and Hydrogen in Diesel Oil from Different Regions by Han-yu ZHANG, Zhao-wei JIE, Han-yang ZHENG, Xiao-han ZHU, Wei-ya XIE, Can HU, Zhan-fang LIU, Hong-ling GUO, Jun ZHU, Hong-cheng MEI

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A dataset of the abundance of Ixodes spp. ticks in forests of the Auvergne-Rhône-Alpes Region (France) by Isabelle Lebert, Valérie Poux, Magalie René-Martellet, Karine Chalvet-Monfray, Gwenael Vourc'h, Séverine Bord

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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…The normalized image data was then input into a pre-trained deep residual network, ResNet34, which utilized convolutional layers and global average pooling layers for deep feature extraction. …”
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Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of exper... by Eric Nyarko, Iddrisu Abugbil Atubiga, Emmanuel Tetteh Siame, José María Gutiérrez, Eduardo Alberto Fernandez

“…To compare the performance of these models, we used several key metrics, including Akaike Information Criterion corrected (AICc), the Bayesian Information Criterion (BIC), the Root Average Squared Error (RASE), negative log-likelihood, and the total time taken to fit each model.…”
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Combining radiomics and deep learning to predict liver metastasis of gastric cancer on CT image by Yimin Guo, Yimin Guo, Haixiang Yin, Haixiang Yin, Hanyue Zhang, Hanyue Zhang, Pan Liang, Pan Liang, Jianbo Gao, Jianbo Gao, Ming Cheng, Ming Cheng

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