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What can machines learn about heart failure? A systematic literature review.

, , , , , and . Int. J. Data Sci. Anal., 13 (3): 163-183 (2022)

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Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset., , , , , , and . Int. J. Data Sci. Anal., 15 (1): 49-66 (January 2023)Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence?, , , , and . CinC, page 1-4. IEEE, (2021)What can machines learn about heart failure? A systematic literature review., , , , , and . Int. J. Data Sci. Anal., 13 (3): 163-183 (2022)The effect of a preliminary programming and problem solving course on performance in a traditional programming course for computer science majors.. SIGCSE, page 56-64. ACM, (1984)From climate change to pandemics: decision science can help scientists have impact., , , , , , , , , and 1 other author(s). CoRR, (2020)A Framework for Levels of Student Participation and Stages of Relevant Curriculum., and . Comput. Sci. Eng., 19 (3): 20-29 (2017)Predicting the Success of Freshmen in a Computer Science Major., and . Commun. ACM, 27 (11): 1108-1113 (1984)Estimation of the force of infection and infectious period of skin sores in remote Australian communities using interval-censored data., , , , , , , , , and 2 other author(s). PLoS Comput. Biol., (2020)Professional Development and Support for POGIL in Computer Science., , , , and . SIGCSE (1), page 738-744. ACM, (2022)