Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling
Publication
, Conference
Sandler, RH; Dhar, R; Raval, N; Mentz, RJ; Mansy, HA
Published in: JOURNAL OF CARDIAC FAILURE
2024
Duke Scholars
Published In
JOURNAL OF CARDIAC FAILURE
EISSN
1532-8414
ISSN
1071-9164
Publication Date
2024
Volume
30
Issue
1
Start / End Page
259 / 260
Related Subject Headings
- Cardiovascular System & Hematology
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 1110 Nursing
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology
Citation
APA
Chicago
ICMJE
MLA
NLM
Sandler, R. H., Dhar, R., Raval, N., Mentz, R. J., & Mansy, H. A. (2024). Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling. In JOURNAL OF CARDIAC FAILURE (Vol. 30, pp. 259–260).
Sandler, Richard H., Rajkumar Dhar, Nirav Raval, Robert J. Mentz, and Hansen A. Mansy. “Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling.” In JOURNAL OF CARDIAC FAILURE, 30:259–60, 2024.
Sandler RH, Dhar R, Raval N, Mentz RJ, Mansy HA. Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling. In: JOURNAL OF CARDIAC FAILURE. 2024. p. 259–60.
Sandler, Richard H., et al. “Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling.” JOURNAL OF CARDIAC FAILURE, vol. 30, no. 1, 2024, pp. 259–60.
Sandler RH, Dhar R, Raval N, Mentz RJ, Mansy HA. Heart Failure Hospital Readmission Accurately Predicted By Seismocardiography Convolutional Neural Networks Modeling. JOURNAL OF CARDIAC FAILURE. 2024. p. 259–260.
Published In
JOURNAL OF CARDIAC FAILURE
EISSN
1532-8414
ISSN
1071-9164
Publication Date
2024
Volume
30
Issue
1
Start / End Page
259 / 260
Related Subject Headings
- Cardiovascular System & Hematology
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 1110 Nursing
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology