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    Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective
                                      
                                            Canbay, Ali,                              Kälsch, Julia,                              Neumann, Ursula,                              Rau, Monika,                              Hohenester, Simon,                              Baba, Hideo A.,                              Rust, Christian,                              Geier, Andreas,                              Heider, Dominik,                              Sowa, Jan-Peter                              
Published in PloS one (26.03.2019)
                   
      
      
                                                  Published in PloS one (26.03.2019)
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          Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients
                                      
                                            Chowdhury, Nakib Hayat,                              Reaz, Mamun Bin Ibne,                              Haque, Fahmida,                              Ahmad, Shamim,                              Ali, Sawal Hamid Md,                              A Bakar, Ahmad Ashrif,                              Bhuiyan, Mohammad Arif Sobhan                              
Published in Diagnostics (Basel) (03.12.2021)
                   
      
      
                                                  Published in Diagnostics (Basel) (03.12.2021)
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          Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database
                                      
                                            Huang, Yinan,                              Talwar, Ashna,                              Lin, Ying,                              Aparasu, Rajender R.                              
Published in BMC medical informatics and decision making (09.11.2022)
                   
      
      
                                                  Published in BMC medical informatics and decision making (09.11.2022)
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          Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data
                                      
                                            Heo, Seok-Jae,                              Kim, Yangwook,                              Yun, Sehyun,                              Lim, Sung-Shil,                              Kim, Jihyun,                              Nam, Chung-Mo,                              Park, Eun-Cheol,                              Jung, Inkyung,                              Yoon, Jin-Ha                              
Published in International journal of environmental research and public health (16.01.2019)
                   
      
      
                                                  Published in International journal of environmental research and public health (16.01.2019)
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          Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes
                                      
                                            Betzler, Bjorn Kaijun,                              Chee, Evelyn Yi Lyn,                              He, Feng,                              Lim, Cynthia Ciwei,                              Ho, Jinyi,                              Hamzah, Haslina,                              Tan, Ngiap Chuan,                              Liew, Gerald,                              McKay, Gareth J,                              Hogg, Ruth E,                              Young, Ian S,                              Cheng, Ching-Yu,                              Lim, Su Chi,                              Lee, Aaron Y,                              Wong, Tien Yin,                              Lee, Mong Li,                              Hsu, Wynne,                              Tan, Gavin Siew Wei,                              Sabanayagam, Charumathi                              
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
                   
      
      
                                                  Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
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          Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
                                      
                                            Syleouni, Maria‐Eleni,                              Karavasiloglou, Nena,                              Manduchi, Laura,                              Wanner, Miriam,                              Korol, Dimitri,                              Ortelli, Laura,                              Bordoni, Andrea,                              Rohrmann, Sabine                              
Published in International journal of cancer (01.09.2023)
                   
      
      
                                                  Published in International journal of cancer (01.09.2023)
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          Performance comparison of artificial neural networks learning algorithms and activation functions in predicting severity of autism
                                      
                                            Chand, Yamini,                              Alam, Md. Afroz,                              Tejaswini, Y. R. S. N.                              
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01.12.2015)
                   
      
      
                                                  Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01.12.2015)
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          BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
                                      
                                            Abbas, Shafaq,                              Jalil, Zunera,                              Javed, Abdul Rehman,                              Batool, Iqra,                              Khan, Mohammad Zubair,                              Noorwali, Abdulfattah,                              Gadekallu, Thippa Reddy,                              Akbar, Aqsa                              
Published in PeerJ. Computer science (12.03.2021)
                   
      
      
                                                  Published in PeerJ. Computer science (12.03.2021)
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          Developing Nurse‐Accessible Hypertension Prediction Tools for Low‐Income Populations: A Comparative Analysis of Machine Learning Algorithms With SHAP Interpretation
                                      
                                            Huang, Chuan,                              Xu, Jiaojiao,                              Qiu, Hai,                              Yue, Yuchuan                              
Published in International journal of nursing practice (01.10.2025)
                   
      
      
                                                  Published in International journal of nursing practice (01.10.2025)
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          A prospective multicenter validation study of a machine learning algorithm classifier on quantitative electroencephalogram for differentiating between dementia with Lewy bodies and Alzheimer’s dementia
                                      
                                            Suzuki, Yukiko,                              Suzuki, Maki,                              Shigenobu, Kazue,                              Shinosaki, Kazuhiro,                              Aoki, Yasunori,                              Kikuchi, Hirokazu,                              Baba, Toru,                              Hashimoto, Mamoru,                              Araki, Toshihiko,                              Johnsen, Kristinn,                              Ikeda, Manabu,                              Mori, Etsuro                              
Published in PloS one (31.03.2022)
                   
      
      
                                                  Published in PloS one (31.03.2022)
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          Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
                                      
                                            Huang, Chenxi,                              Murugiah, Karthik,                              Mahajan, Shiwani,                              Li, Shu-Xia,                              Dhruva, Sanket S.,                              Haimovich, Julian S.,                              Wang, Yongfei,                              Schulz, Wade L.,                              Testani, Jeffrey M.,                              Wilson, Francis P.,                              Mena, Carlos I.,                              Masoudi, Frederick A.,                              Rumsfeld, John S.,                              Spertus, John A.,                              Mortazavi, Bobak J.,                              Krumholz, Harlan M.                              
Published in PLoS medicine (27.11.2018)
                   
      
      
                                                  Published in PLoS medicine (27.11.2018)
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          Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms
                                      
                                            Teng, Pai-Hsueh,                              Liang, Chia-Hao,                              Lin, Yun,                              Alberich-Bayarri, Angel,                              González, Rafael López,                              Li, Pin-Wei,                              Weng, Yu-Hsin,                              Chen, Yi-Ting,                              Lin, Chih-Hsien,                              Chou, Kang-Ju,                              Chen, Yao-Shen,                              Wu, Fu-Zong                              
Published in Medicine (Baltimore) (11.06.2021)
                   
      
      
                                                  Published in Medicine (Baltimore) (11.06.2021)
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