Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…The integration of machine learning models demonstrated improved classification accuracy, with ReLU-based neural networks outperforming others in most evaluation metrics.Discussion: The study demonstrates the potential of a robust, integrated machine learning framework to analyze high-dimensional neuroimaging data and identify biologically relevant markers of ADHD. …”
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The 2nd Baltic Osseointegration Academy and Lithuanian University of Health Sciences Consensus Conference 2019. Summary and Consensus Statements: Group I - Biological Aspects of To... by Gintaras Juodzbalys, Povilas Daugela, Onurcem Duruel, Maria Helena Fernandes, Pedro de Sousa Gomes, Samir Goyushov, Lorena Mariano, Lukas Poskevicius, Arturas Stumbras, Tolga Fikret Tözüm

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Quantum AI: A Cognitive Machine Learning Technique based on Nurturing Food Security Sustainability Predictive Analysis for Life Science - Bioengineering in Healthcare by Senthil G.A., Monica K.M., Prabha R., Prinslin L., Elavarasi R.

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Computer-Aided Application in Medicine and Biomedicine by Qi-Ming Liao, Wahab Hussain, Zhong-Xia Liao, Sarfraz Hussain, Zhi-Liang Jiang, Yong-Hao Zhu, Huang-Yin Luo, Xin-Ying Ji, Hong-Wei Wen, Dong-Dong Wu

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Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

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AI-Driven Chatbot for Real-Time News Automation by Fahim Sufi, Musleh Alsulami

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Predictive factors for recording the death of women of childbearing age in the Hospital Information System (SIH/SUS), Brazil, 2012–2020 by Juliana Alves Marques, Rosa Maria Soares Madeira Domingues, Marcos Augusto Bastos Dias, Claudia Medina Coeli, Rejane Sobrinho Pinheiro, Valeria Saraceni

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Explainable Machine Learning for Mapping Minerals From CRISM Hyperspectral Data by Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal

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Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru by Lucia Enriquez, Kevin Ortega, Dennis Ccopi, Claudia Rios, Julio Urquizo, Solanch Patricio, Lidiana Alejandro, Manuel Oliva-Cruz, Elgar Barboza, Samuel Pizarro

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Development of a Wireless Sensor Network and IoT-based Smart Irrigation System by Juliana Ngozi Ndunagu, Kingsley Eghonghon Ukhurebor, Moses Akaaza, Robert Birundu Onyancha

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Digital Infrared Thermographic Imaging for Limb Salvage in Patients at Risk of Amputation: Prospective Observational Study by Víctor Manuel Loza-González, Eleazar Samuel Kolosovas-Machuca, Patricia Aurea Cervantes-Báez, José Luis Ramírez-GarcíaLuna, Edgar Guevara, Mario Aurelio Martínez-Jiménez

“… Abstract BackgroundScores and prediction models such as the mangled extremity severity score (MESS) for trauma and the Wound, Ischemia, and foot Infection (WIfI) classification for diabetic foot ulcers help in the decision-making process for amputation. …”
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Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study by Joseph F. Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David P. J. Osborn, Magnus Boman

“…From electronic United Kingdom primary care records, we extracted a cohort of individuals prescribed either lithium (19,106 individuals) or olanzapine (12,412) monotherapy. Machine learning models were used to predict successful monotherapy maintenance treatment, using 113 clinical and demographic variables, 8,017 (41.96%) lithium responders and 3,831 (30.87%) olanzapine responders. …”
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Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms by Mehmet Eroğlu, Ali Osman Turgut, Mürsel Küçük, Muhammed Furkan Önen

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The Spatial–Temporal Evolution and Impact Mechanism of Cultivated Land Use in the Mountainous Areas of Southwest Hubei Province, China by Zhengxiang Wu, Qingbin Fan, Wen Li, Yong Zhou

“…Indicators such as the dynamic degree of cultivated land use, the relative rate of change in cultivated land use, and a Geoscience Information Atlas model were used to explore these changes. Additionally, principal component analysis was employed to examine the mechanisms influencing these changes. …”
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Predicting Tumor Progression in Patients with Cervical Cancer Using Computer Tomography Radiomic Features by Shopnil Prasla, Daniel Moore-Palhares, Daniel Dicenzo, LaurentiusOscar Osapoetra, Archya Dasgupta, Eric Leung, Elizabeth Barnes, Alexander Hwang, Amandeep S. Taggar, Gregory Jan Czarnota

“…This research highlights the potential of CT radiomic models in predicting post-radiotherapy tumor progression, offering a promising approach for tailoring personalized treatment decisions in cervical cancer.…”
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Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

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VTGAN based proactive VM consolidation in cloud data centers using value and trend approaches by Aya I. Maiyza, Hanan A. Hassan, Walaa M. Sheta, Karim Banawan, Noha O. Korany

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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

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