Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 2702-2705

  Huddar, Vijay ^a   Rajan, Vaibhav ^b   Bhattacharya, Sakyajit ^b   Roy, Shourya ^b  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b Xerox Research Centre India   (India)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE (MECHANICAL); FORECASTING; INTERACTIVE COMPUTER SYSTEMS; LARGE SCALE SYSTEMS; NURSING; PHYSIOLOGY; REAL TIME SYSTEMS;

CRITICALLY-ILL PATIENTS; DISCHARGE SUMMARY; INVESTIGATIVE REPORTS; PHYSIOLOGICAL SIGNALS; RESPIRATORY FAILURE; SEMI-STRUCTURED TEXT; SOURCES OF INFORMATIONS; UNSTRUCTURED DATA;

INTENSIVE CARE UNITS;

BREATHING RATE; FACTUAL DATABASE; HUMAN; INTENSIVE CARE; MEDICAL RECORD; NURSE; PHYSIOLOGY; POSTOPERATIVE COMPLICATIONS; PROCEDURES; RESPIRATORY DISTRESS SYNDROME, ADULT; RISK;

CRITICAL CARE; DATABASES, FACTUAL; HUMANS; MEDICAL RECORDS; NURSES; POSTOPERATIVE COMPLICATIONS; RESPIRATORY DISTRESS SYNDROME, ADULT; RESPIRATORY RATE; RISK;

EID: 84929501081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944180     Document Type: Conference Paper

References (18)

1. Ahsan M Arozullah, Jennifer Daley, William G Henderson, Shukri F Khuri, National Veterans Administration Surgical Quality Improvement Program, et al. Multifactorial risk index for predicting postoperative respiratory failure in men after major noncardiac surgery. Annals of surgery, 232(2): 242, 2000.
2. Jo Ann Brooks-Brunn. Predictors of postoperative pulmonary complications following abdominal surgery. CHEST Journal, 111(3): 564-571, 1997.
3. E Stanley Crawford, Lars G Svensson, Kenneth R Hess, Salwa S Shenaq, Joseph S Coselli, Hazim J Safi, Prita K Mohindra, and Victor Rivera. A prospective randomized study of cerebrospinal fluid drainage to prevent paraplegia after high-risk surgery on the thoracoabdominal aorta. Journal of vascular surgery, 13(1): 36-46, 1991.
4. Justin B Dimick, Steven L Chen, Paul A Taheri, William G Henderson, Shukri F Khuri, and Darrell A Campbell Jr. Hospital costs associated with surgical complications: a report from the private-sector national surgical quality improvement program. Journal of the American College of Surgeons, 199(4): 531-537, 2004.
5. John P Ebert, Ben Grimes, and Kurt MW Niemann. Respiratory failure secondary to homologous blood transfusion. Anesthesiology, 63(1): 104-106, 1985.
6. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101(23): e215-e220, 2000 (June 13).
7. David Gotz, Harry Stavropoulos, Jimeng Sun, and Fei Wang. ICDA: A platform for intelligent care delivery analytics. In AMIA Annual Symposium Proceedings, Volume 2012, page 264. American Medical Informatics Association, 2012.
8. Himani Gupta, Prateek K Gupta, Xiang Fang, Weldon J Miller, Samuel Cemaj, R Armour Forse, and Lee E Morrow. Development and validation of a risk calculator predicting postoperative respiratory failurerisk calculator predicting respiratory failure. CHEST Journal, 140(5): 1207-1215, 2011.
9. Murff HJ, FitzHenry F, Matheny ME, and et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. JAMA, 306(8): 848-855, 2011.
10. George Hripcsak, Carol Friedman, Philip O Alderson, William Du-Mouchel, Stephen B Johnson, and Paul D Clayton. Unlocking clinical data from narrative reports: a study of natural language processing. Annals of internal medicine, 122(9): 681-688, 1995.
11. Ching-Tzu Huang, Horng-Chyuan Lin, Shi-Chuan Chang, and WeiChen Lee. Pre-operative risk factors predict post-operative respiratory failure after liver transplantation. PloS one, 6(8): e22689, 2011.
12. Robert Johnson, Ahsan Arozullah, Neumayer Leigh, William G. Henderson, Patrick Hosokawa, and Shukri F. Khuri. Multivariable predictors of postoperative respiratory failure after general and vascular surgery: Results from the patient safety in surgery study. Journal of the American College of Surgeons, 204(6): 1188-1198, 2007.
13. Shukri F Khuri, William G Henderson, Ralph G DePalma, Cecilia Mosca, Nancy A Healey, Dharam J Kumbhani, et al. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Annals of surgery, 242(3): 326, 2005.
14. Timothy M McCulloch, Niels F Jensen, Douglas A Girod, Terance T Tsue, and Ernest A Weymuller. Risk factors for pulmonary complications in the postoperative head and neck surgery patient. Head & neck, 19(5): 372-377, 1997.
15. Kazuyo Nakahara, Kiyoshi Ohno, Junpei Hashimoto, shinichiro Miyoshi, Hajime Maeda, Akihide Matsumura, Takatoshi Mizuta, Akinori Akashi, katuhiro Nakagawa, and Yasunaru Kawashima. Prediction of postoperative respiratory failure in patients undergoing lung resection for lung cancer. The Annals of Thoracic Surgery, 46(5): 549-552, 1988.
16. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12: 2825-2830, 2011.
17. Adam Perer and Jimeng Sun. Matrixflow: Temporal network visual analytics to track symptom evolution during disease progression. In AMIA annual symposium proceedings, Volume 2012, page 716. American Medical Informatics Association, 2012.
18. Mohammed Saeed, C Lieu, G Raber, and RG Mark. Mimic II: a massive temporal ICU patient database to support research in intelligent patient monitoring. In Computers in Cardiology, 2002, pages 641-644. IEEE, 2002.