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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)

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Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

by Jin, Weiwei, Chowienczyk, Philip, Alastruey, Jordi
Published in PloS one (28.06.2021)

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A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

by Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)

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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

by Burlina, Philippe, Billings, Seth, Joshi, Neil, Albayda, Jemima
Published in PloS one (30.08.2017)

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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics

by Ma, Jingjing, Zhao, Zhifang, Zhang, Lin
Published in PloS one (16.01.2025)

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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

by Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Published in PloS one (28.02.2019)

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Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

by van IJzendoorn, David G. P., Szuhai, Karoly, Briaire-de Bruijn, Inge H., Kostine, Marie, Kuijjer, Marieke L., Bovée, Judith V. M. G.
Published in PLoS computational biology (01.02.2019)

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Food anaphylaxis diagnostic marker compilation in machine learning design and validation

by Randhawa, Inderpal S., Groshenkov, Kirill, Sigalov, Grigori
Published in PloS one (05.04.2023)

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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

by Grigull, Lorenz, Mehmecke, Sandra, Rother, Ann-Katrin, Blöß, Susanne, Klemann, Christian, Schumacher, Ulrike, Mücke, Urs, Kortum, Xiaowei, Lechner, Werner, Klawonn, Frank
Published in PloS one (10.10.2019)

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Investigating the impact of data heterogeneity on the performance of federated learning algorithm using medical imaging

by Babar, Muhammad, Qureshi, Basit, Koubaa, Anis
Published in PloS one (15.05.2024)

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Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research

by Guo, Yali, Jin, Qian, Kang, Yi, Jin, Wenwen, Liu, Ying, Chen, Qian, Liu, Jian, Wang, Yu guang
Published in PloS one (24.04.2025)

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A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints

by Al-Hameed, Sabah, Benaissa, Mohammed, Christensen, Heidi, Mirheidari, Bahman, Blackburn, Daniel, Reuber, Markus
Published in PloS one (24.05.2019)

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Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound

by Kessler, David, Zhu, Meihua, Gregory, Cynthia R., Mehanian, Courosh, Avila, Jailyn, Avitable, Nick, Coneybeare, Di, Das, Devjani, Dessie, Almaz, Kennedy, Thomas M., Rabiner, Joni, Malia, Laurie, Ng, Lorraine, Nye, Megan, Vindas, Marc, Weimersheimer, Peter, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton, Zheng, Xinliang, Horning, Matthew P., Stone, Mike, Wang, Fen, Lancioni, Christina
Published in PloS one (27.08.2024)

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Diagnostic and comparative performance for the prediction of tuberculous pleural effusion using machine learning algorithms

by Liu, Yanqing, Liang, Zhigang, Yang, Jing, Yuan, Songbo, Wang, Shanshan, Huang, Weina, Wu, Aihua
Published in International journal of medical informatics (Shannon, Ireland) (01.02.2024)

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Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

by Voets, Mike, Møllersen, Kajsa, Bongo, Lars Ailo
Published in PloS one (06.06.2019)

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Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study

by Garcia-Zamalloa, Alberto, Vicente, Diego, Arnay, Rafael, Arrospide, Arantzazu, Taboada, Jorge, Castilla-Rodríguez, Iván, Aguirre, Urko, Múgica, Nekane, Aldama, Ladislao, Aguinagalde, Borja, Jimenez, Montserrat, Bikuña, Edurne, Basauri, Miren Begoña, Alonso, Marta, Perez-Trallero, Emilio
Published in PloS one (04.11.2021)

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Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

by Raciti, Patricia, Sue, Jillian, Retamero, Juan A., Ceballos, Rodrigo, Godrich, Ran, Kunz, Jeremy D., Casson, Adam, Thiagarajan, Dilip, Ebrahimzadeh, Zahra, Viret, Julian, Lee, Donghun, Schüffler, Peter J., DeMuth, George, Gulturk, Emre, Kanan, Christopher, Rothrock, Brandon, Reis-Filho, Jorge, Klimstra, David S., Reuter, Victor, Fuchs, Thomas J.
Published in Archives of pathology & laboratory medicine (1976) (01.10.2023)

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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

by Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Published in PloS one (24.11.2020)

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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer’s disease and mild cognitive impairment: Research protocol of a case-control study design

by Piersson, Albert Dayor, Ibrahim, Buhari, Suppiah, Subapriya, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Omar, Nur Farhayu, Ibrahim, Mohd Izuan, Yusoff, Ahmad Nazlim, Ibrahim, Normala, Saripan, M. Iqbal, Razali, Rizah Mazzuin
Published in PloS one (21.09.2021)

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Interpretable Machine Learning for Serum-Based Metabolomics in Breast Cancer Diagnostics: Insights from Multi-Objective Feature Selection-Driven LightGBM-SHAP Models

by Guldogan, Emek, Yagin, Fatma Hilal, Ucuzal, Hasan, Alzakari, Sarah A., Alhussan, Amel Ali, Ardigò, Luca Paolo
Published in Medicina (Kaunas, Lithuania) (19.06.2025)

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