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Electronic physiologic and subjective data acquisition in home-dwelling heart failure patients: An assessment of patient use and perception of usability., , , , , , , , , and 2 other author(s). Int. J. Medical Informatics, (2016)Evaluating artificial neural networks for medical applications.. ICNN, page 2494-2495. IEEE, (1997)Statistical Analysis of Complex Systems in Biomedicine.. AISTATS, page 251-258. Springer, (1995)QNOTE: an instrument for measuring the quality of EHR clinical notes., , , , , , , , , and 14 other author(s). J. Am. Medical Informatics Assoc., 21 (5): 910-916 (2014)Comparing the prediction accuracy of artifical neural networks and other statistical models for breast cancer survival., , and . NIPS, page 1063-1067. MIT Press, (1994)Electronic health records improve clinical note quality., , , , , , , , , and 14 other author(s). J. Am. Medical Informatics Assoc., 22 (1): 199-205 (2015)Neural networks significantly improve cancer staging accuracy., , and . CBMS, page 200. IEEE Computer Society, (1994)Assessing the usability by clinicians of VISION: A hierarchical display of patient-collected physiological information to clinicians., , , , , and . BMC Medical Informatics Decis. Mak., 17 (1): 41:1-41:9 (2017)Electronically Collecting Nocturnal Heart Failure Information., and . AMIA, AMIA, (2015)