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Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study

by Sorino, Paolo, Caruso, Maria Gabriella, Misciagna, Giovanni, Bonfiglio, Caterina, Campanella, Angelo, Mirizzi, Antonella, Franco, Isabella, Bianco, Antonella, Buongiorno, Claudia, Liuzzi, Rosalba, Cisternino, Anna Maria, Notarnicola, Maria, Chiloiro, Marisa, Pascoschi, Giovanni, Osella, Alberto Rubén
Published in PloS one (20.10.2020)

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Development of machine learning models for diagnosis of glaucoma

by Kim, Seong Jae, Cho, Kyong Jin, Oh, Sejong
Published in PloS one (23.05.2017)

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Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation

by Beheshti, Iman, Ganaie, M. A., Paliwal, Vardhan, Rastogi, Aryan, Razzak, Imran, Tanveer, M.
Published in IEEE journal of biomedical and health informatics (01.04.2022)

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Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals

by Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise, Gu, Carol, Roberts, Jonathan, Le, Sidney, Slote, Joseph, Saber, Nicholas, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Published in BMC medical informatics and decision making (27.10.2020)

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Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data

by López-García, Guillermo, Jerez, José M., Franco, Leonardo, Veredas, Francisco J.
Published in PloS one (26.03.2020)

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MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants

by Chennen, Kirsley, Weber, Thomas, Lornage, Xavière, Kress, Arnaud, Böhm, Johann, Thompson, Julie, Laporte, Jocelyn, Poch, Olivier
Published in PloS one (31.07.2020)

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A machine learning-assisted model for renal urate underexcretion with genetic and clinical variables among Chinese men with gout

by Sun, Mingshu, Sun, Wenyan, Zhao, Xuetong, Li, Zhiqiang, Dalbeth, Nicola, Ji, Aichang, He, Yuwei, Qu, Hongzhu, Zheng, Guangmin, Ma, Lidan, Wang, Jiayi, Shi, Yongyong, Fang, Xiangdong, Chen, Haibing, Merriman, Tony R., Li, Changgui
Published in Arthritis research & therapy (09.03.2022)

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Centrality nearest-neighbor projected-distance regression (C-NPDR) feature selection for correlation-based predictors with application to resting-state fMRI study of major depressive disorder

by Kresock, Elizabeth, Dawkins, Bryan, Luttbeg, Henry, Li, Yijie (Jamie), Kuplicki, Rayus, McKinney, B. A.
Published in PloS one (06.03.2025)

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Prediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk

by Gonzalez-Rodriguez, Javier-Leonardo, Franco, Carlos, Pinzón-Espitia, Olga, Caballer, Vicent, Alfonso-Lizarazo, Edgar, Augusto, Vincent
Published in PloS one (04.06.2024)

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Visual field loss patterns in dominant and recessive optic atrophy based on OPA1 archetypes

by Cascavilla, Maria Lucia, Coutinho, Catarina, Battista, Marco, Zanchetta, Ferdinando, Galzignato, Alice, Lari, Giorgio, Albertini, Stefano, Brotto, Luigi, Nucci, Paolo, Fioresi, Rita, Bandello, Francesco, Barboni, Piero
Published in Acta ophthalmologica (Oxford, England) (01.01.2024)

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A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients

by Lazzarini, Nicola, Filippoupolitis, Avgoustinos, Manzione, Pedro, Eleftherohorinou, Hariklia
Published in PloS one (28.07.2022)

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Analysis of machine learning algorithms to aid in the diagnosis of early‐stage dementia

by Carvalho, Thiago, Santana, Maira
Published in Alzheimer's & dementia (01.12.2024)

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Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering

by Thorpe, Samuel G., Thibeault, Corey M., Canac, Nicolas, Jalaleddini, Kian, Dorn, Amber, Wilk, Seth J., Devlin, Thomas, Scalzo, Fabien, Hamilton, Robert B.
Published in PloS one (06.02.2020)

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A prognostic model for gastric cancer constructed by multiple machine learning algorithms

by Yang, Xueli, Huang, Xu, Ying, Wang, Deng, Tao, Zhang, Jun, Ding, Qianshan
Published in Journal of molecular histology (14.10.2025)

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SparkText: Biomedical Text Mining on Big Data Framework

by Ye, Zhan, Tafti, Ahmad P., He, Karen Y., Wang, Kai, He, Max M.
Published in PloS one (29.09.2016)

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Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms

by Shan, Baoyin, Wang, Ruoran, Xu, Jianguo
Published in Neurosurgical review (28.08.2024)

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Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases

by Dou, Yifeng, Liu, Jiantao, Meng, Wentao, Zhang, Yingchao
Published in Technology and health care (01.01.2024)

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MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images

by Liu, Ruochen, Gao, Song, Zhang, Hengsheng, Wang, Simin, Zhou, Lun, Liu, Jiaming
Published in PloS one (23.11.2022)

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In silico identification of critical proteins associated with learning process and immune system for Down syndrome

by Kulan, Handan, Dag, Tamer
Published in PloS one (28.01.2019)

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Fault diagnosis based on extremely randomized trees in wireless sensor networks

by Saeed, Umer, Jan, Sana Ullah, Lee, Young-Doo, Koo, Insoo
Published in Reliability engineering & system safety (01.01.2021)

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