Machine-Learning Insights from the Framingham Heart Study: Enhancing Cardiovascular Risk Prediction and Monitoring by Emi Yuda, Itaru Kaneko, Daisuke Hirahara

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A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service by Sundharam Ramalingam, Lakshmi Mohandas

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Indoor Air Quality Prediction in Sick Building Using Machine and Deep Learning: Comparative Analysis by Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim

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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

“…This paper proposes a survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement (MSHG-CMR), which achieves deep joint modeling and efficient information fusion of pathological images and multi-omics data by integrating multi-scale hypergraph enhancement and cross-modal refinement Transformer technology. …”
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First-trimester prediction of early-onset preeclampsia using PAPP-A and mean arterial pressure by Fatma Beyazıt, Eren Pek, Murat Daş, Mehmet Nuri Duran, Dilek Ülker Çakır, Başak Nil Şen, Hasan Ali Kiraz, Deniz Koçyiğit Yılmaz, Ece Ünal Çetin

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A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis. by Katherine M Schafer, Grace Kennedy, Austin Gallyer, Philip Resnik

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A deep ensemble framework for human essential gene prediction by integrating multi-omics data by Xue Zhang, Weijia Xiao, Brent Cochran, Wangxin Xiao

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A Decision Support System for Simulating and Predicting the Impacts of Various Tournament Structures on Tournament Outcomes by Khalid Ruzelan, Yusof Muhammad Mat, Rosli Nurzahidah Che, Nawawi Mohd Kamal Mohd

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Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle by S. O. Peters, K. Kizilkaya, E. M. Ibeagha-Awemu, X. Zhao

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SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction by Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Caifeng Gao, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

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Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction by Qi Wang, Yonggang Yao

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Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

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A CNN-LSTM-attention based seepage pressure prediction method for Earth and rock dams by Hanqiu Chen, Kui Wang, Mingjie Zhao, Yongjiang Chen, Yujie He

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A Sequential-Interval Optimal Sampling Strategy Based on Reliability Prediction Under Wiener Process by Mengying Ren, Yubin Tian, Xingyu Liu, Furi Guo

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Predicting traffic flow between bike-sharing system stations: A case study of Chicago by Ali Behroozi, Ali Edrisi

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Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder by Nigussie T. Sharew, Scott R. Clark, Sergi Papiol, Urs Heilbronner, Franziska Degenhardt, Janice M. Fullerton, Liping Hou, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Roland Hasler, Hélène Richard-Lepouriel, Nader Perroud, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M. Biernacka, Armin Birner, Cynthia Marie-Claire, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Maria Del Zompo, J. Raymond DePaulo, Bruno Étain, Stephane Jamain, Peter Falkai, Andreas J. Forstner, Louise Frisen, Mark A. Frye, Sébastien Gard, Julie S. Garnham, Fernando S. Goes, Maria Grigoroiu-Serbanescu, Andreas J. Fallgatter, Sophia Stegmaier, Thomas Ethofer, Silvia Biere, Kristiyana Petrova, Ceylan Schuster, Kristina Adorjan, Monika Budde, Maria Heilbronner, Janos L. Kalman, Mojtaba Oraki Kohshour, Daniela Reich-Erkelenz, Sabrina K. Schaupp, Eva C. Schulte, Fanny Senner, Thomas Vogl, Ion-George Anghelescu, Volker Arolt, Udo Dannlowski, Detlef E. Dietrich, Christian Figge, Markus Jäger, Fabian U. Lang, Georg Juckel, Carsten Konrad, Jens Reimer, Max Schmauß, Andrea Schmitt, Carsten Spitzer, Martin von Hagen, Jens Wiltfang, Jörg Zimmermann, Till F.M. Andlauer, Andre Fischer, Felix Bermpohl, Philipp Ritter, Silke Matura, Anna Gryaznova, Irina Falkenberg, Cüneyt Yildiz, Tilo Kircher, Julia Schmidt, Marius Koch, Kathrin Gade, Sarah Trost, Ida S. Haussleiter, Martin Lambert, Anja C. Rohenkohl, Vivien Kraft, Paul Grof, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Per Hoffmann, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Po-Hsiu Kuo, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Ewa Ferensztajn-Rochowiak, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Alfonso Tortorella, Mirko Manchia, Lina Martinsson, Michael J. McCarthy, Susan McElroy, Francesc Colom, Vincent Millischer, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Markus M. Nöthen, Tomas Novák, Claire O’Donovan, Norio Ozaki, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Reininghaus, Guy A. Rouleau, Janusz K. Rybakowski, Martin Schalling, Peter R. Schofield, Barbara W. Schweizer, Giovanni Severino, Paul D. Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M. Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Mario Maj, Gustavo Turecki, Eduard Vieta, Julia Veeh, Biju Viswanath, Stephanie H. Witt, Adam Wright, Peter P. Zandi, Philip B. Mitchell, Michael Bauer, Martin Alda, Marcella Rietschel, Francis J. McMahon, Thomas G. Schulze, Bernhard T. Baune, Klaus Oliver Schubert, Azmeraw T. Amare

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Machine Learning Prediction of Foaming in Anaerobic Co-Digestion from Six Key Process Parameters by Sarah E. Daly, Ji-Qin Ni

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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Towards a unified framework for single‐cell ‐omics‐based disease prediction through AI by Matteo Barberis, Jinkun Xie

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Experimental Identification of Characteristic Curves of Supersonic Vacuum Ejector and Empirical Prediction of Total Evacuation Time by Llorenç Macia, Robert Castilla, Gustavo Raush, Pedro Javier Gamez-Montero

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