ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis by Md. Alif Sheakh, Sami Azam, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Kayes Uddin Fahim, Niusha Shafiabady, Mirjam Jonkman, Friso De Boer

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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

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ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach by Mir Faiyaz Hossain, Shajreen Tabassum Diya, Riasat Khan

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Multipath2.0: Extending Multilayer Reproducible Pathway Models with Omics Data by Zaynab Hammoud, Mohammad Al Maaz, Alicia D'Angelo, Frank Kramer

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Machine learning approaches for predicting frailty base on multimorbidities in US adults using NHANES data (1999–2018) by Teng Li, Xueke Li, Haoran XU, Yanyan Wang, Jingyu Ren, Shixiang Jing, Zichen Jin, Gang chen, Youyou Zhai, Zeyu Wu, Ge Zhang, Yuying Wang

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Independence on the lead of the identification of the ventricular depolarization in the electrocardiogram in wearable devices by Noemi Giordano, Silvia Cannone, Gabriella Balestra, Marco Knaflitz

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Feature selection based on Mahalanobis distance for early Parkinson disease classification by Mustafa Noaman Kadhim, Dhiah Al-Shammary, Ahmed M. Mahdi, Ayman Ibaida

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Integrative in Silico modeling for mTOR inhibition: From ridge classifiers to descriptor-free deep neural networks by Seyed Alireza Khanghahi, Hadi Kamkar, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Parviz Abdolmaleki

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Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation by Veena K.M., Veena Mayya, Rashmi Naveen Raj, Sulatha V. Bhandary, Uma Kulkarni

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An X-ray image-based pruned dense convolution neural network for tuberculosis detection by Edna Chebet Too, David Gitonga Mwathi, Lucy Kawira Gitonga, Pauline Mwaka, Saif Kinyori

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Mathematical modeling of the impact of HPV vaccine uptake in reducing cervical cancer using a graph-theoretic approach via Caputo fractional-order derivatives by Sylas Oswald, Eunice Mureithi, Berge Tsanou, Michael Chapwanya, Crispin Kahesa, Kijakazi Mashoto

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GLAAM and GLAAI: Pioneering attention models for robust automated cataract detection by Deepak Kumar, Chaman Verma, Zoltán Illés

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Electronic community health information system practice and associated factors among health extension workers in South Wollo Zone, North East Ethiopia: Mixed study by Mohammed Ali Dawud, Mulugeta Hayelom Kalayou, Yitbarek Wasihun, Toyeb Yasine, Tewoflos Ayalew, Mulugeta Desalegn Kasaye

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Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

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Dynamics and optimal control of fractional-order monkeypox epidemic model with social distancing habits and public awareness by Raqqasyi Rahmatullah Musafir, Agus Suryanto, Isnani Darti, Trisilowati

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Mathematical modeling of the effects of vector control, treatment and mass awareness on the transmission dynamics of dengue fever by Boniface Zacharia Naaly, Theresia Marijani, Augustino Isdory, Jufren Zakayo Ndendya

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Time series analysis and prediction of the trends of COVID-19 epidemic in Singapore based on machine learning by Wenbin Yang, Xin Chang

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Diagnosis of Alzheimer's disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model by Elias Mazrooei Rad, Sayyed Majid Mazinani, Seyyed Ali Zendehbad

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Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis by Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

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