| Year |
Citation |
Score |
| 2019 |
Crawford AM, Yang S, Hu P, Li Y, Lozanova P, Scalea TM, Stein DM. Concomitant chest trauma and traumatic brain injury, biomarkers correlate with worse outcomes. The Journal of Trauma and Acute Care Surgery. 87: S146-S151. PMID 31246919 DOI: 10.1097/Ta.0000000000002256 |
0.328 |
|
| 2018 |
Melinosky C, Yang S, Hu P, Li H, Miller CHT, Khan I, Mackenzie C, Chang WT, Parikh G, Stein D, Badjatia N. Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury. Frontiers in Neurology. 9: 761. PMID 30319521 DOI: 10.3389/Fneur.2018.00761 |
0.362 |
|
| 2017 |
Hu PF, Yang S, Li HC, Stansbury LG, Yang F, Hagegeorge G, Miller C, Rock P, Stein DM, Mackenzie CF. Reliable Collection of Real-Time Patient Physiologic Data from less Reliable Networks: a "Monitor of Monitors" System (MoMs). Journal of Medical Systems. 41: 3. PMID 27817131 DOI: 10.1007/S10916-016-0648-5 |
0.318 |
|
| 2016 |
Dezman ZD, Gao C, Yang S, Hu P, Yao L, Li HC, Chang CI, Mackenzie C. Anomaly Detection Outperforms Logistic Regression in Predicting Outcomes in Trauma Patients. Prehospital Emergency Care : Official Journal of the National Association of Ems Physicians and the National Association of State Ems Directors. 1-6. PMID 27918852 DOI: 10.1080/10903127.2016.1241327 |
0.338 |
|
| 2016 |
Yang S, Menne A, Hu P, Stansbury L, Gao C, Dorsey N, Chiu W, Shackelford S, Mackenzie C. Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients. Journal of Clinical Monitoring and Computing. PMID 27270963 DOI: 10.1007/S10877-016-9895-8 |
0.337 |
|
| 2016 |
Parimi N, Yang S, Hu PF, Li H, Onyekwelu I, Sult LA, Scalea TM, Stein D. Noninvasive Prediction of Neuroworsening in Patints with Traumatic Brain Injury Journal of the American College of Surgeons. 223: e93-e94. DOI: 10.1016/J.Jamcollsurg.2016.08.237 |
0.322 |
|
| 2015 |
Bonds BW, Hu P, Li Y, Yang S, Colton K, Gonchigar A, Cheriyan J, Grissom T, Fang R, Stein DM. Predictive value of hyperthermia and intracranial hypertension on neurological outcomes in patients with severe traumatic brain injury. Brain Injury. 1-6. PMID 26479461 DOI: 10.3109/02699052.2015.1075157 |
0.343 |
|
| 2015 |
Bonds BW, Yang S, Hu PF, Kalpakis K, Stansbury LG, Scalea TM, Stein DM. Predicting secondary insults after severe traumatic brain injury. The Journal of Trauma and Acute Care Surgery. 79: 85-90. PMID 26091319 DOI: 10.1097/Ta.0000000000000698 |
0.662 |
|
| 2015 |
Galvagno SM, Hu P, Yang S, Gao C, Hanna D, Shackelford S, Mackenzie C. Accuracy of continuous noninvasive hemoglobin monitoring for the prediction of blood transfusions in trauma patients. Journal of Clinical Monitoring and Computing. PMID 25753142 DOI: 10.1007/S10877-015-9671-1 |
0.328 |
|
| 2015 |
Kalpakis K, Yang S, Hu PF, Mackenzie CF, Stansbury LG, Stein DM, Scalea TM. Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury. Computers in Biology and Medicine. 56: 167-74. PMID 25464358 DOI: 10.1016/J.Compbiomed.2014.11.007 |
0.664 |
|
| 2014 |
Yang S, Njoku M, Mackenzie CF. 'Big data' approaches to trauma outcome prediction and autonomous resuscitation. British Journal of Hospital Medicine (London, England : 2005). 75: 637-41. PMID 25383434 DOI: 10.12968/Hmed.2014.75.11.637 |
0.332 |
|
| 2014 |
Colton K, Yang S, Hu PF, Chen HH, Bonds B, Stansbury LG, Scalea TM, Stein DM. Pharmacologic Treatment Reduces Pressure Times Time Dose and Relative Duration of Intracranial Hypertension. Journal of Intensive Care Medicine. PMID 25320157 DOI: 10.1177/0885066614555692 |
0.312 |
|
| 2014 |
Yang S, Kalpakis K, Biem A. Detecting road traffic events by coupling multiple timeseries with a nonparametric bayesian method Ieee Transactions On Intelligent Transportation Systems. 15: 1936-1946. DOI: 10.1109/Tits.2014.2305334 |
0.645 |
|
| 2013 |
Stein DM, Brenner M, Hu PF, Yang S, Hall EC, Stansbury LG, Menaker J, Scalea TM. Timing of intracranial hypertension following severe traumatic brain injury. Neurocritical Care. 18: 332-40. PMID 23494545 DOI: 10.1007/S12028-013-9832-3 |
0.344 |
|
| 2013 |
Chen SY, Yang S, Kalpakis K, Chang CI. Low rank decomposition-based anomaly detection Proceedings of Spie - the International Society For Optical Engineering. 8743. DOI: 10.1117/12.2015652 |
0.628 |
|
| 2013 |
Yang S, Kalpakis K, Biem A. Spatio-temporal coupled Bayesian Robust Principal Component Analysis for road traffic event detection Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 392-398. DOI: 10.1109/ITSC.2013.6728263 |
0.62 |
|
| 2012 |
Yang S, Kalpakis K, Biem A. An adaptive observation site selection strategy for road traffic data assimilation Iwcts 2012 - 5th Acm Sigspatial International Workshop On Computational Transportation Science. 2-7. DOI: 10.1145/2442942.2442944 |
0.617 |
|
| 2012 |
Yang S, Kalpakis K, MacKenzie CF, Stansbury LG, Stein DM, Scalea TM, Hu PF. Online recovery of missing values in vital signs data streams using low-rank matrix completion Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 281-287. DOI: 10.1109/ICMLA.2012.55 |
0.604 |
|
| 2012 |
Kalpakis K, Yang S, Hu PF, MacKenzie CF, Stansbury LG, Stein DM, Scalea TM. Outcome prediction for patients with severe traumatic brain injury using permutation entropy analysis of electronic vital signs data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7376: 415-426. DOI: 10.1007/978-3-642-31537-4_33 |
0.64 |
|
| Show low-probability matches. |