ExLibris header image
SFX Logo
Title: Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
Source:

Bmc Medical Informatics and decision Making [1472-6947] Huber, Manuel yr:2019


Collapse list of basic services Basic
Full text
Full text available via DOAJ Directory of Open Access Journals
GO
Full text available via PubMed Central
GO
Full text available via PubMed Central Open Access
GO
Document delivery
Request document via Library/Bibliothek GO
Users interested in this article also expressed an interest in the following:
1. Pirracchio, R. "Big data and targeted machine learning in action to assist medical decision in the ICU." Anaesthesia Critical Care & Pain Medicine 38.4 (2018): 377-384. Link to SFX for this item
2. "Big data and targeted machine learning in action to assist medical decision in the ICU: the past, the present and the future." Anaesthesia, critical care & pain medicine. . Link to SFX for this item
3. "Scalable Machine Learning for Predicting At-Risk Profiles Upon Hospital Admission." Big data research. 12.C: 23-34. Link to SFX for this item
4. Ruminski, Caroline M. "Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit." Journal of Clinical Monitoring and Computing 33.4 (2018): 703-711. Link to SFX for this item
5. Wang, D. "Recent developments in machine learning for medical imaging applications." Computerized medical imaging and graphics 57 (2017): 1-3. Link to SFX for this item
6. Susan, G. "Information Technology research challenges for healthcare: from discovery to delivery." SIGHIT record 1.1 (2011): 4-9. Link to SFX for this item
7. "1429: LEAD TIME AND ACCURACY OF TREWS, A MACHINE LEARNING-BASED SEPSIS ALERT." Critical care medicine. 50.1: 717-717. Link to SFX for this item
8. Shi, Y. "Special issue on machine learning in medical imaging." Computerized medical imaging and graphics 74 (2019): 10-11. Link to SFX for this item
9. Wang, Q. "Machine learning in medical imaging." Pattern recognition 63 (2017): 465-467. Link to SFX for this item
10. Reynolds, Meenal J. "Machine learning approaches for integrating clinical and imaging features in late‐life depression classification and response prediction." International journal of geriatric psychiatry 30.10 (2015): 1056-1067. Link to Full Text for this item Link to SFX for this item
11. Houthooft, R. "Predictive modelling of survival and length of stay incritically ill patients using sequential organ failure scores." Artificial intelligence in medicine 63.3 (2014): 191-207. Link to SFX for this item
View More...
View Less...
Select All Clear All

Expand list of advanced services Advanced