Academic literature on the topic 'Heart Failure, Machine Learning, Decision Support, Telemonitoring'
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Journal articles on the topic "Heart Failure, Machine Learning, Decision Support, Telemonitoring"
Nagavelli, Umarani, Debabrata Samanta, and Partha Chakraborty. "Machine Learning Technology-Based Heart Disease Detection Models." Journal of Healthcare Engineering 2022 (February 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/7351061.
Full textRahman, Mohammed Ashikur, and Afidalina Tumian. "Variables Influencing Machine Learning-Based Cardiac Decision Support System: A Systematic Literature Review." Applied Mechanics and Materials 892 (June 2019): 274–83. http://dx.doi.org/10.4028/www.scientific.net/amm.892.274.
Full textTuan Le, Minh, Minh Thanh Vo, Nhat Tan Pham, and Son V.T Dao. "Predicting heart failure using a wrapper-based feature selection." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (March 10, 2021): 1530. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1530-1539.
Full textB, Kavyashree, and Rakesh M D. "Prediction of Cardiac Arrhythmia using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 1698–706. http://dx.doi.org/10.22214/ijraset.2022.46900.
Full textSax, Dana R., Lillian R. Sturmer, Dustin G. Mark, Jamal S. Rana, and Mary E. Reed. "Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department." Diagnostics 12, no. 10 (October 11, 2022): 2463. http://dx.doi.org/10.3390/diagnostics12102463.
Full textMuntasir Nishat, Mirza, Fahim Faisal, Ishrak Jahan Ratul, Abdullah Al-Monsur, Abrar Mohammad Ar-Rafi, Sarker Mohammad Nasrullah, Md Taslim Reza, and Md Rezaul Hoque Khan. "A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset." Scientific Programming 2022 (March 9, 2022): 1–17. http://dx.doi.org/10.1155/2022/3649406.
Full textHussain, Lal, Imtiaz Ahmed Awan, Wajid Aziz, Sharjil Saeed, Amjad Ali, Farukh Zeeshan, and Kyung Sup Kwak. "Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques." BioMed Research International 2020 (February 18, 2020): 1–19. http://dx.doi.org/10.1155/2020/4281243.
Full textAl Mudawi, Naif, and Abdulwahab Alazeb. "A Model for Predicting Cervical Cancer Using Machine Learning Algorithms." Sensors 22, no. 11 (May 29, 2022): 4132. http://dx.doi.org/10.3390/s22114132.
Full textHaq, Amin Ul, Jian Ping Li, Muhammad Hammad Memon, Shah Nazir, and Ruinan Sun. "A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms." Mobile Information Systems 2018 (December 2, 2018): 1–21. http://dx.doi.org/10.1155/2018/3860146.
Full textJasinska-Piadlo, A., R. Bond, P. Biglarbeigi, R. Brisk, P. Campbell, and D. McEneaneny. "What can machines learn about heart failure? A systematic literature review." International Journal of Data Science and Analytics 13, no. 3 (December 30, 2021): 163–83. http://dx.doi.org/10.1007/s41060-021-00300-1.
Full textDissertations / Theses on the topic "Heart Failure, Machine Learning, Decision Support, Telemonitoring"
GUIDI, GABRIELE. "System for aiding clinical management of congestive heart failure to improve patient assistance at home." Doctoral thesis, 2017. http://hdl.handle.net/2158/1080160.
Full textBook chapters on the topic "Heart Failure, Machine Learning, Decision Support, Telemonitoring"
Mansoor, Nijatullah, Ramesh Chandra Poonia, and Debabrata Samanta. "Predictive Analysis of Diabetes Using Machine Learning Algorithms." In Advances in Healthcare Information Systems and Administration, 338–52. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4580-8.ch018.
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