The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions by Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler

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Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy. by Weiqi Xia, Miaomiao Zhang, Xiaowei Zheng, Zushuai Wu, Zixue Xuan, Ping Huang, Xiuli Yang

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Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction by Shuai Ren, Kamarul Hawari Ghazali

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Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets by Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann

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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

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Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

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DDI-KGAT: A Graph Attention Network on Biomedical Knowledge Graph for the Prediction of Drug-Drug Interactions by Iqra Naseer Kundi, Shahzad Amin Sheikh, Fahad Mumtaz Malik, Kamran Aziz Bhatti

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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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MRMS-CNNFormer: A Novel Framework for Predicting the Biochemical Recurrence of Prostate Cancer on Multi-Sequence MRI by Tao Lian, Mengting Zhou, Yangyang Shao, Xiaqing Chen, Yinghua Zhao, Qianjin Feng

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Development and validation of a novel nomogram to predict coronary artery calcification: a single center study by Xiangnan Shen, Xia Li, Fang He, Honglei Su, Hongtao He, Guobin Kang

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Pathways to care: Factors predicting women’s access to clinic versus pharmacy-based medication abortion in Ghana by Caesar Agula, Adriana Biney, Pearl Kyei, Ayaga A. Bawah

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A nomogram for predicting the risk of tigecycline-associated drug-induced liver injury in a Chinese population by Xin Zhang, Lanfang Li, Chuanpeng Zhang, Huixian Zhang, Haining Huang

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Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach by Zohra Kraiem, Fathi Maalaoui, Salah Bouhlel, Chaouki Sadik, Ali Sdiri

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Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50 by Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

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Prediction of technological properties of wheat flour by combination of UV-VIS-NIR spectroscopy and multivariate analysis methods by R. A. Platova, E. V. Zhirkova, D. A. Metlenkin, A. A. Lysenkova, Yu. T. Platov, V. A. Rassulov

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Prediction of the water solubility by a graph convolutional-based neural network on a highly curated dataset by Nadin Ulrich, Karsten Voigt, Anton Kudria, Alexander Böhme, Ralf-Uwe Ebert

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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

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Prediction of Hub Height Winds over the Plateau Terrain by using WRF /YSU/Noah and Statistical Forecast by Hua Deng, Yan Li, Yingchao Zhang, Hou Zhou, Peipei Cheng, Jia Wang, Muhammad Aqeel Ashraf

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Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility. by Irene V van Blokland, Pauline Lanting, Anil P S Ori, Judith M Vonk, Robert C A Warmerdam, Johanna C Herkert, Floranne Boulogne, Annique Claringbould, Esteban A Lopera-Maya, Meike Bartels, Jouke-Jan Hottenga, Andrea Ganna, Juha Karjalainen, Lifelines COVID-19 cohort study, COVID-19 Host Genetics Initiative, Caroline Hayward, Chloe Fawns-Ritchie, Archie Campbell, David Porteous, Elizabeth T Cirulli, Kelly M Schiabor Barrett, Stephen Riffle, Alexandre Bolze, Simon White, Francisco Tanudjaja, Xueqing Wang, Jimmy M Ramirez, Yan Wei Lim, James T Lu, Nicole L Washington, Eco J C de Geus, Patrick Deelen, H Marike Boezen, Lude H Franke

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