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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

by Ogwel, Billy, Mzazi, Vincent H., Awuor, Alex O., Okonji, Caleb, Anyango, Raphael O., Oreso, Caren, Ochieng, John B., Munga, Stephen, Nasrin, Dilruba, Tickell, Kirkby D., Pavlinac, Patricia B., Kotloff, Karen L., Omore, Richard
Published in BMC medical informatics and decision making (15.01.2025)

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Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches

by Weng, Stephen F., Vaz, Luis, Qureshi, Nadeem, Kai, Joe
Published in PloS one (27.03.2019)

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Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders

by Fricke, Christopher, Alizadeh, Jalal, Zakhary, Nahrin, Woost, Timo B., Bogdan, Martin, Classen, Joseph
Published in Frontiers in neurology (21.05.2021)

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Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks

by Shalin, Gaurav, Pardoel, Scott, Lemaire, Edward D., Nantel, Julie, Kofman, Jonathan
Published in Journal of neuroengineering and rehabilitation (27.11.2021)

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Sensor fault analysis of aero-engine using ensemble SCNN and Bayesian interval estimation

by Liu, Junqiang
Published in Engineering applications of artificial intelligence (01.10.2023)

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Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study

by Callender, Thomas, Imrie, Fergus, Cebere, Bogdan, Pashayan, Nora, Navani, Neal, van der Schaar, Mihaela, Janes, Sam M.
Published in PLoS medicine (03.10.2023)

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High-Wavenumber Infrared Spectroscopy of Blood Plasma for Pre-Eclampsia Detection with Machine Learning

by Reganin Monteiro, Gabriela, Silva, Sara Maria Santos Dias da, Rizzato, Jaqueline Maria Brandão, Silva, Simone de Lima, Cortelli, Sheila Cavalca, Silva, Rodrigo Augusto, Nogueira, Marcelo Saito, Silva de Carvalho, Luis Felipe das Chagas e
Published in Photonics (01.10.2024)

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Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

by Abd-alrazaq, Alaa, Aslam, Hania, AlSaad, Rawan, Alsahli, Mohammed, Ahmed, Arfan, Damseh, Rafat, Aziz, Sarah, Sheikh, Javaid
Published in Journal of medical Internet research (10.09.2024)

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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

by Shi, Bohan, Dhaliwal, Satvinder Singh, Soo, Marcus, Chan, Cheri, Wong, Jocelin, Lam, Natalie W C, Zhou, Entong, Paitimusa, Vivien, Loke, Kum Yin, Chin, Joel, Chua, Mei Tuan, Liaw, Kathy Chiew Suan, Lim, Amos W H, Insyirah, Fadil Fatin, Yen, Shih-Cheng, Tay, Arthur, Ang, Seng Bin
Published in JMIR AI (27.10.2023)

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Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data

by Jiao, Yang, Ye, Jianan, Zhao, Wenjian, Fan, Zhicheng, Kou, Yunpeng, Guo, Shaochun, Chao, Min, Fan, Chao, Ji, Peigang, Liu, Jinghui, Zhai, Yulong, Wang, Yuan, Wang, Na, Wang, Liang
Published in Computers in biology and medicine (01.11.2024)

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Predictive modeling of complications arising from early-onset preeclampsia in pregnant women

by Domínguez del Olmo, Paula, Herraiz, Ignacio, Villalaín, Cecilia, Galindo, Alberto, Ayala, Jose Luis
Published in Women's health (London, England) (01.01.2025)

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Assessment of Published Papers on the Use of Machine Learning in Diagnosis and Treatment of Mastitis

by Bourganou, Maria V., Kiouvrekis, Yiannis, Chatzopoulos, Dimitrios C., Zikas, Sotiris, Katsafadou, Angeliki I., Liagka, Dimitra V., Vasileiou, Natalia G. C., Fthenakis, George C., Lianou, Daphne T.
Published in Information (Basel) (01.08.2024)

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Mortality Prediction in Heart Failure Patients: Machine Learning Versus Get With The Guidelines-Heart Failure (GWTG-HF) and Acute Decompensated Heart Failure National Registry (ADHERE)

by Palmer, Dayanna Q, Gismondi, Ronaldo A, Gemal, Pedro, Lomba, Guilherme S, Seixas, Flavio L
Published in Curēus (Palo Alto, CA) (01.08.2025)

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Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis

by Wu, Mingfen, Yu, Kefu, Zhao, Zhigang, Zhu, Bin
Published in Heliyon (30.01.2024)

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Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter

by Hu, Tao, Yang, Heng, Ni, Wei, Lei, Yu, Jiang, Zhuoyun, Shi, Keke, Yu, Jinhua, Gu, Yuxiang, Wang, Yuanyuan
Published in Biomedical engineering online (15.09.2020)

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Artificial intelligence applications in ophthalmic optical coherence tomography: a 12-year bibliometric analysis

by Wang, Ruo-Yu, Hu, Xin-Ya, Sun, Li, Zhang, Shao-Chong, Yang, Wei-Hua
Published in INTERNATIONAL JOURNAL OF OPHTHALMOLOGY (18.12.2024)

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Development and evaluation of machine-learning methods in whole-body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer: the MALIBO diagnostic test accuracy study

by Rockall, Andrea, Li, Xingfeng, Johnson, Nicholas, Lavdas, Ioannis, Santhakumaran, Shalini, Prevost, A Toby, Koh, Dow-Mu, Punwani, Shonit, Goh, Vicky, Bharwani, Nishat, Sandhu, Amandeep, Sidhu, Harbir, Plumb, Andrew, Burn, James, Fagan, Aisling, Oliver, Alf, Wengert, Georg J, Rueckert, Daniel, Aboagye, Eric, Taylor, Stuart A, Glocker, Ben
Published in Efficacy and mechanism evaluation (01.10.2024)

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Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

by Fang, Chengyijue, Li, Xiaoyang, Yang, Yidong
Published in Journal of applied clinical medical physics (01.06.2025)

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An efficient microaneurysms detection approach in retinal fundus images

by Mohan, N. Jagan, Murugan, R., Goel, Tripti, Tanveer, M., Roy, Parthapratim
Published in International journal of machine learning and cybernetics (01.04.2023)

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In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade

by Guo, Mingkai, Gong, Di, Yang, Weihua
Published in Frontiers in medicine (20.11.2024)

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