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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy
Sayres, Rory, Taly, Ankur, Rahimy, Ehsan, Blumer, Katy, Coz, David, Hammel, Naama, Krause, Jonathan, Narayanaswamy, Arunachalam, Rastegar, Zahra, Wu, Derek, Xu, Shawn, Barb, Scott, Joseph, Anthony, Shumski, Michael, Smith, Jesse, Sood, Arjun B., Corrado, Greg S., Peng, Lily, Webster, Dale R.
Published in Ophthalmology (Rochester, Minn.) (01.04.2019)
Published in Ophthalmology (Rochester, Minn.) (01.04.2019)
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Journal Article
Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach
Khudri, Md. Mohsan, Rhee, Kang Keun, Hasan, Mohammad Shabbir, Ahsan, Karar Zunaid
Published in PloS one (12.05.2023)
Published in PloS one (12.05.2023)
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Journal Article
Improving Multi-Tumor Biomarker Health Check-Up Tests with Machine Learning Algorithms
Wang, Hsin-Yao, Chen, Chun-Hsien, Shi, Steve, Chung, Chia-Ru, Wen, Ying-Hao, Wu, Min-Hsien, Lebowitz, Michael S., Zhou, Jiming, Lu, Jang-Jih
Published in Cancers (01.06.2020)
Published in Cancers (01.06.2020)
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Journal Article
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
Pikoula, Maria, Quint, Jennifer Kathleen, Nissen, Francis, Hemingway, Harry, Smeeth, Liam, Denaxas, Spiros
Published in BMC medical informatics and decision making (18.04.2019)
Published in BMC medical informatics and decision making (18.04.2019)
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Journal Article
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
Attia, Zachi I, Noseworthy, Peter A, Lopez-Jimenez, Francisco, Asirvatham, Samuel J, Deshmukh, Abhishek J, Gersh, Bernard J, Carter, Rickey E, Yao, Xiaoxi, Rabinstein, Alejandro A, Erickson, Brad J, Kapa, Suraj, Friedman, Paul A
Published in The Lancet (British edition) (07.09.2019)
Published in The Lancet (British edition) (07.09.2019)
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Journal Article
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease
Bari Antor, Morshedul, Jamil, A. H. M. Shafayet, Mamtaz, Maliha, Monirujjaman Khan, Mohammad, Aljahdali, Sultan, Kaur, Manjit, Singh, Parminder, Masud, Mehedi
Published in Journal of healthcare engineering (2021)
Published in Journal of healthcare engineering (2021)
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Journal Article
Quantification Analysis of Sleep Based on Smartwatch Sensors for Parkinson’s Disease
Ko, Yi-Feng, Kuo, Pei-Hsin, Wang, Ching-Fu, Chen, Yu-Jen, Chuang, Pei-Chi, Li, Shih-Zhang, Chen, Bo-Wei, Yang, Fu-Chi, Lo, Yu-Chun, Yang, Yi, Ro, Shuan-Chu Vina, Jaw, Fu-Shan, Lin, Sheng-Huang, Chen, You-Yin
Published in Biosensors (Basel) (27.01.2022)
Published in Biosensors (Basel) (27.01.2022)
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Journal Article
Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis
Ahamed Fayaz, Shaik, Babu, Lakshmanan, Paridayal, Loganathan, Vasantha, Mahalingam, Paramasivam, Palaniyandi, Sundarakumar, Karuppasamy, Ponnuraja, Chinnaiyan
Published in PloS one (16.10.2024)
Published in PloS one (16.10.2024)
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Journal Article
Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection
Tusher, Ekramul Haque, Ismail, Mohd Arfian, Akib, Abdullah, Gabralla, Lubna A., Ibrahim, Ashraf Osman, Som, Hafizan Mat, Remli, Muhammad Akmal
Published in PloS one (26.06.2025)
Published in PloS one (26.06.2025)
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Journal Article
Type 2 Diabetes Screening Test by Means of a Pulse Oximeter
Moreno, Enrique Monte, Lujan, Maria Jose Anyo, Rusinol, Montse Torrres, Fernandez, Paqui Juarez, Manrique, Pilar Nunez, Trivino, Cristina Aragon, Miquel, Magda Pedrosa, Rodriguez, Marife Alvarez, Burguillos, M. Jose Gonzalez
Published in IEEE transactions on biomedical engineering (01.02.2017)
Published in IEEE transactions on biomedical engineering (01.02.2017)
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Journal Article
Publication
Predicting future community-level ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data
Tedijanto, Christine, Aragie, Solomon, Tadesse, Zerihun, Haile, Mahteme, Zeru, Taye, Nash, Scott D., Wittberg, Dionna M., Gwyn, Sarah, Martin, Diana L., Sturrock, Hugh J. W., Lietman, Thomas M., Keenan, Jeremy D., Arnold, Benjamin F.
Published in PLoS neglected tropical diseases (01.03.2022)
Published in PLoS neglected tropical diseases (01.03.2022)
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Journal Article
Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings
Duta, Ioana, Kariuki, Symon M, Ngugi, Anthony K, Mwesige, Angelina Kakooza, Masanja, Honorati, Mwanga, Daniel M, Owusu-Agyei, Seth, Wagner, Ryan, Cross, J Helen, Sander, Josemir W, Newton, Charles R, Sen, Arjune, Jones, Gabriel Davis
Published in PLOS digital health (01.02.2025)
Published in PLOS digital health (01.02.2025)
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Journal Article
Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms
Sayed, Gehad Ismail, Solyman, Mona, El Gedawy, Gamalat, Moemen, Yasmine S., Aboul-Ella, Hassan, Hassanien, Aboul Ella
Published in Scientific reports (29.02.2024)
Published in Scientific reports (29.02.2024)
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Journal Article