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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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Journal Article
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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Journal Article
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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Journal Article
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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Journal Article
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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Journal Article
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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Journal Article
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System
Mehrpour, Omid, Saeedi, Farhad, Nakhaee, Samaneh, Tavakkoli Khomeini, Farbod, Hadianfar, Ali, Amirabadizadeh, Alireza, Hoyte, Christopher
Published in BMC medical informatics and decision making (06.04.2023)
Published in BMC medical informatics and decision making (06.04.2023)
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Journal Article
Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers
Bowd, Christopher, Weinreb, Robert N., Balasubramanian, Madhusudhanan, Lee, Intae, Jang, Giljin, Yousefi, Siamak, Zangwill, Linda M., Medeiros, Felipe A., Girkin, Christopher A., Liebmann, Jeffrey M., Goldbaum, Michael H.
Published in PloS one (30.01.2014)
Published in PloS one (30.01.2014)
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Journal Article
Recognition of early and late stages of bladder cancer using metabolites and machine learning
Kouznetsova, Valentina L., Kim, Elliot, Romm, Eden L., Zhu, Alan, Tsigelny, Igor F.
Published in Metabolomics (01.07.2019)
Published in Metabolomics (01.07.2019)
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Journal Article
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study
Wu, Peiliang, Ye, Hua, Cai, Xueding, Li, Chengye, Li, Shimin, Chen, Mengxiang, Wang, Mingjing, Heidari, Ali Asghar, Chen, Mayun, Li, Jifa, Chen, Huiling, Huang, Xiaoying, Wang, Liangxing
Published in IEEE access (01.01.2021)
Published in IEEE access (01.01.2021)
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Journal Article
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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Journal Article
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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Journal Article
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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Journal Article