CBMI Publications

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Dr. Robert Davis

2014

Wei WQ, Feng Q, Waitara MS, Jiang L, Iwuchukwu OF, Jiang M, Xu H, Denny JC,
Peissig PL, Berg RL, McCarty CA, Davis RL, Nickerson DA, Rotter JI, Krauss RM, Roden DM,
Wilke RA. Characterization of Statin Dose-response within Electronic Medical Records Clin
Pharmacol Ther 2014;95:331-338.

Naleway AL, Kurosky S, Henninger ML, Gold R, Nordin JD, Kharbanda EO, Irving S,
Cheetham TC, Nakasato C, Glanz J, Hambidge SJ, Jackson LA, Davis RL, Klein N,
McCarthy NL, Weintraub E. Vaccinations given during pregnancy, 2002-2009.
Am J Prev Med 2014;46:150-157.

Wu AC, Li L, Fung V, Kharbanda EO, Larkin EK, Vollmer WM, Butler MG, Miroshnik I,
Rusinak D, Davis RL, Hartert T, Weiss ST, Lieu TA Leukotriene Antagonists Associated
with Similar Risk of Asthma Exacerbations as Inhaled Corticosteroids J Allergy Clin
Immunol Pract 2014;2:607-13.

Murphy MV, Du D, Hua W, Cortez KJ, Butler MG, Davis RL, DeCoster T, Johnson L, Li
L, Nakasato C, Nordin JD, Ramesh M, Schum M, Worley AV, Zinderman C, Platt R,
Klompas M, The Utility of Claims Data for Infection Surveillance following Anterior Cruciate
Ligament Reconstruction. Infect Contr Hosp Epidemiol, 2014; Vol. 35, No. 6, pp. 652-659

Allen LA, Yood MU, Wagner EH, Aiello Bowles EJ, Pardee R, Wellman R, Habel L,
Nekhlyudov L, Davis RL, Onitilo AA, Magid DJ. Performance of Claims-based Algorithms
for Identifying Heart Failure and Cardiomyopathy Among Patients Diagnosed with Breast
Cancer. Med Care. 2014;52:30-8.

Delate T, Aiello Bowles E, Pardee R, Wellman R, Habel L, Ulcickas Yood M, Nekhlyudov
L, Goddard K, Davis R, McCarty C, Adedayo O, Feigelson HS, Freml J, Wagner E.
Validity of eight integrated healthcare delivery organizations’ administrative clinical data to
capture breast cancer chemotherapy exposure. Cancer Epidemiol Biomarkers Prev 2012;21:673–
680.

Adedinsewo DA, Noory L, Bednarczyk RA, Steinhoff MC, Davis RL, Ogbuanu C, Omer S.
Impact of Maternal Characteristics on the Effect of Maternal Influenza Vaccination on Fetal
Outcomes Vaccine. 2013 Dec 2;31(49):5827-33.

Feigelson HS, Zeng C, Pawloski PA, Onitilo AA, Richards CS, Johnson MA, Kauffman TL, Webster J,
Nyirenda C, Alexander GL, Hwang C, Cross D, McCarty CA, Davis RL, Schwarzkopf D, Williams AE,
Honda S, Daida Y, Kushi LH, Delate T, Goddard KAB. Does KRAS testing in metastatic colorectal
cancer impact overall survival: a comparative effectiveness study in a population-based sample.
PLoS One. 2014 May 1;9(5):e94977.

Goswami S, Yee SW, Stocker S, Mosley JD, Kubo M, Castro R, Mefford JA, Wen C, Liang
X, Witte J, Brett C, Maeda S, Simpson MD, Hedderson MM, Davis RL, Roden DM, Giacomini
KM, Savic RM. Genetic variants in transcription factors are associated with the pharmacokinetics
and pharmacodynamics of metformin. Clin Pharmacol Ther. 2014 Sep;96(3):370-9

Li DK, Raebel M, Cheetham C, Davis RL, Hansen CA, Avalos L, Chen H. Genital Herpes and Its
Treatment in Relation to Preterm Delivery Am. J. Epidemiol.2014 doi:10.1093/aje/kwu242

Dublin S, Toh S, Andrade SE, Pawloski PA, Raebel M, Smith DH, Davis RL, Herrinton L, Avalos LA
Trends in elective labor induction at six United States health plans, 2001-2007. J Womens Health 2014 Nov 1; 23(11): 904–911.

2015

Wu, AC, Butler MG, Li L, Fung V, Kharbanda EO, Larkin EK, Vollmer WM, Miroshnik I, Davis RL, Lieu
TA, Soumerai SB. Primary Adherence to Controller Medications for Asthma is Poor. Ann Am Thorac Soc. 2015 Feb;12(2):161-6.

Engler RJM, Nelson MR, Collins LC, Spooner C, Hemann B, Gibbs B, Atwood J, Howard R, Chang A, Cruser DL, Gates DG, Vernalis MN, Leungkeek MS, McClenathan B, Jaffe A, Cooper LT, Black S, Carlson C, Wilson C, Davis RL. Myocarditis/Pericarditis, New Onset Cardiac Symptoms and Cardiac-Specific Troponin T Increases following Smallpox Vaccination. PLoS One. 2015 Mar 20;10(3):e0118283.

Davis RL, Gallagher MA, Asgari MM, Eide MJ, Margolis DJ, Macy E, Burmester JK, Selvam N, Boscarino JA, Cromwell LF, Feigelson HS, Kuntz JL, Pawloski PA, Penfold RB, Raebel MA, Sridhar G, Wu A, LaGrenade LA, Pacanowski MA, Pinheiro SP. Identification of Stevens-Johnson syndrome and toxic epidermal necrolysis in electronic health record databases. Pharmacoepidemiol Drug Saf. 2015; 24(7):684-92.

Hansen C, Andreade SE, Freiman H, Dublin S, Haffenreffer K, Cooper WO, Cheetham TC, Toh S, Li DK, Raebel MA, Kuntz JL, Perrin N, Rosales AG, Carter S, Pawloski PA, Maloney EM, Graham DJ, Sahin L, Scott PE, Yap J, Davis RL. Trimethoprim-sulfonamide Use during the First Trimester of Pregnancy and the Risk of Congenital Anomalies Pharmacoepidemiol Drug Saf. 2015 Nov 24. doi: 10.1002/pds.3919. [Epub ahead of print] PubMed PMID: 26599424

2016

Nagahawatte P, Chen H, Jose R, Sakauye ME, Davis RL. Genotation; actionable knowledge for the scientific reader. Experimental Biology and Medicine, 2016; 0: 1–8

Murphy MV, Du DT, Hua W, Cortez KJ, Butler MG, Davis RL, DeCoster TA, Johnson L, Li L, Nakasato C, Nordin JD, Ramesh M, Schum M, Von Worley A, Zinderman C, Platt R, Klompas M. Risk factors for surgical site infections following anterior cruciate ligament reconstruction. Infection Control and Hospital Epidemiology. 2016 Jul;37(7):827-33. doi: 10.1017/ice.2016.65.

Seffens W, Evans C, Davis A, Taylor H, and the Minority Health-GRID Network. Machine learning data imputation and classification in a multi-cohort hypertension clinical study. Bioinform Biol Insights. 2015; 9 (Suppl 3): 43–54
174. Wu AC, Li L, Fung V, Kharbanda EO, Larkin EK, Butler MG, Galbraith A, Miroshnik I, Davis RL, Horan
K, Lieu TA. Mismatching among guidelines, providers and parents on controller medication use in
children with asthma. J Allergy Clin Immunol Pract. 2016 Sep-Oct;4(5):910-6.

Goswami S, Yee SW, Xu F, Sridhar SB, Mosley JJ, Takahashi A, Kubo M, Maeda S, Davis RL, Roden
DM, Hedderson MM, Giacomini KM, Radojka MS. A Longitudinal HbA1c Model Elucidates Genes
Linked to Disease Progression on Meformin. Clin Pharmacol Ther. 2016 Nov;100(5):537-547.

Akbilgic O, Howe A, Davis RL. Categorizing Atrial Fibrillation via Symbolic Pattern Recognition.
Journal of Medical Statistics and Informatics, 4 (8), 2016.

2017

Manolio T, Hutter C, Avigan M, Cibotti R, Davis RL, Denny JC, La Grenade L, Wheatley LM,
Carrington MN, Chantratita W, Chung WH, Dalton AD, Hung S, Michael Lee MT, Leeder JS, Lertora
JJL, Mahasirimongkol S, McLeod HL, Mockenhaupt M, Pacanowski M, Phillips EJ, Pinheiro S,
Pirmohamed M, Sung C, Suwankesawong W, Trepanier L, Tumminia SJ, Veenstra D, Yuliwulandari
R. Research directions in genetically mediated Stevens-Johnson Syndrome/Toxic Epidermal
Necrolysis Clinical Pharmacy & Therapeutics, 2018 Mar;103(3):390-394. doi: 10.1002/cpt.890. Epub 2017 Nov 6.

Shaban-Nejad A, Okhmatovskaia A, Shin EK, Davis RL, Franklin BE, Buckeridge DL. A Semantic
Framework for Logical Cross-Validation, Evaluation and Impact Analyses of Population Health Interventions. Stud Health Technol Inform 2017; 235:481-485.

Alexeef, S, Yau V, Qian Y, Davignon M, Lynch F, Crawford PM, Davis RL, Croen LA Medical
conditions in the first years of life associated with future diagnosis of ASD. J Autism Dev Disord. 2017 Apr 22. doi: 10.1007/s10803-017-3130-4. [Epub ahead of print]

Van Wyk F, Khojandi A, Kamaleswaran R, Akbilgic O, Nemati S, Davis RL How Much Data Should
We Collect? A Case Study in Sepsis Detection Using Deep Learning EEE-NIH 2017 Special Topics
Conference on Healthcare Innovations and Point-of-Care Technologies. (HI-POCT), Bethesda, MD, 2017, pp. 109-112.
doi: 10.1109/HIC.2017.8227596

Langham MR, Akbilgic O, Walter AI, Jones TL, Huang EY, Davis RL. A novel risk classification system
for 30-day mortality in children undergoing surgery. PLOS One (in press)
185. Christensen ML, Pahde E, Bursac Z, Davis RL, Reed MD, Mattison DR. Leveraging Electronic
Health Data to Evaluate Pediatric Medication Use and Health Outcomes. J Pharmacovigil
PharmTher. 2017;J102.

2018

Lu CY, Penfold RB, Toh S, Sturtevant JL, Madden JM, Simon G, Ahmedani BK, Clarke G, Coleman KJ,Copeland LA, Daida Y, Davis RL, Hunkeler EM, Owen-Smith A, Raebel MA, Rossom R, Soumerai SB, Kulldorff M. Near real-time surveillance for the early detection of health outcomes of FDA warnings using sequential analysis. Medical Care, 2018 May;56(5):365-372. doi: 10.1097/MLR.0000000000000893.

Gatwood J, Chisholm-Burns M, Davis RL, Thomas F, Potukuchi P, Hung A, Kovesdy C Disparities in
Initial Oral Antidiabetic Medication Adherence among Veterans with Incident Diabetes
J Manag Care Spec Pharm, 2018 Apr;24(4):379-389. doi: 10.18553/jmcp.2018.24.4.379

Akbilgic O, Langham MR, Walter AI, Jones TL, Huang EY, Davis RL. Accurate risk classification for
death within 30 days following surgery in children: Classification tree analysis of risk factors
utilizing National Surgical Quality Improvement Project – Pediatric data. Pediatrics. PLoS ONE, 2018 Jan 19;13(1):e0191176. doi: 10.1371/journal.pone.0191176. eCollection 2018

Gatwood J, Davis RL, Kovesdy C Evidence of chronic kidney disease in veterans with incident
diabetes mellitus. PLOS One, 2018 Feb 9;13(2):e0192712. doi: 10.1371/journal.pone.0192712. eCollection 2018

White KD, Ab R, Ardern-Jones M, Beachkofsky T et al. SJS/TEN 2017: Building Multidisciplinary
Networks to Drive Science and Translation J Allergy Clin Immunol Pract. 2018 Jan – Feb;6(1):38-69

Christensen ML, Davis RL Identifying the “Blip on the Radar Screen”: Leveraging Big Data in
Defining Drug Safety and Efficacy in Pediatric Practice J Clin Pharmacol, 2018 Oct;58 Suppl 10:S86-S93. doi: 10.1002/jcph.1141.

Kamaleswaran R, Shah S, Davis RL, Akbilgic O, Hallman M, West N Applying Artificial Intelligence
to Identify Physiomarkers Predicting Severe Sepsis in the Pediatric Intensive Care Unit. Pediatr Crit Care Med,2018 Oct;19(10):e495-e503. doi: 10.1097/PCC.0000000000001666

Gatwood JB, Chishold-Burns MA, Davis RL, Thomas F, Potuku P, Hung A, Kovesdy CP Differences in
Health Outcomes associated with Initial Adherence to Oral Antidiabetic Medications among
Veterans with Uncomplicated Type 2 Diabetes: A Five-Year Survival Analysis Diabet Med 2018 Nov;35(11):1571-1579. doi: 10.1111/dme.13775. Epub 2018 Jul 18.

Jose R, Rooney RJ, Nagisetty R, Davis RL, Hains DS Biorepository and Integrative Genomics
Initiative: Designing and implementing a preliminary platform for predictive, preventive and
personalized medicine at a pediatric hospital in a historically disadvantaged community in the
United States EPMA J. 2018 Aug 2;9(3):225-234. doi: 10.1007/s13167-018-0141-y. eCollection 2018 Sep.

Reidy K, Hjorten R, Simpson CL, Rosenberg AZ, Rosenblum SD, Kovesdy CP, Tylavsky FA, Myrie J,
Ruiz BL, Mozhui K, Haque S, Suzuki M, Jacob J, Reznik SE, Kaskel FJ, Kopp JB, Winkler CA, Davis RL.
Fetal and Maternal APOL1 Genotype in Preeclampsia. Am J Hum Genet.2018 Sep 6;103(3):367-376. doi: 10.1016/j.ajhg.2018.08.002. Epub 2018 Aug 30.

Shin E, LeWinn K, Bush N, Tylavsky FA, Davis R, Shaban-Nejad A Sociomarkers and Biomarkers:
Predictive Modeling in Identifying Pediatric Asthma Patients at Risk of Hospital Revisits. NPJ Digital
Med. 2018 Oct 2. doi: 10.1038/s41746-018-0056-y

Rigdon J, Rovnaghi CR, Qin F, Tembulkar S, Bush N, LeWinn K, Tylavsky FA, Davis RL, Barr BA,
Gotlib IH, Anand KJS. Measuring socioeconomic adversity in early life. Acta Paediatrica. 2019 Jan 7. doi: 10.1111/apa.14715. [Epub ahead of print]

van Wyk F, Khojandi A, Williams B, MacMillan D, Davis RL, Jacobson D, Kamaleswaran R. A Cost-
Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven
Modeling. Journal of Healthcare Informatics Research. 2018 Oct 4.pp. 1-19 196. doi 10.1007/s41666-018-0040-y

Mahajaran R, Shin EK, Shaban-Nejad A, Langham MR, Martin MY, Davis RL and Akbilgic O
Disparities in Population-Level Socioconomic Factors re Associated with Disparities in Preoperative
Clinical Risk Factors in Children Decision Support Systems and Education doi:10.3233/978-1-61499-
921-8-80

Gatwood K. Chisholm-Burns M, Davis R, Thomas F, Potukuchi P, Hung A, Kovesdy C. Impact of
Pharmacy Services on Initial Clinical Outcomes and Medication Adherence among Veterans with
Uncontrolled Diabetes. BMC Health Serv Res. 2018 Nov 14;18(1):855. doi: 10.1186/s12913-018-
3665-x.

Shin EK, Tylavsky F, Bush N, LeWinn K, Davis RL, Shaban-Nejad A. Association of Social Network
Exposure with Cognitive Development in Early Childhood. JAMA Network Open, in press

2019

Khojandi A, Van Wyk F, Begoli E, Davis RL, Kamaleswaran R A Minimal Set of Physiomarkers in High
Frequency Real-Time Physiological Data Streams Predict Adult Sepsis Onset Earlier Than Clinical
Practice International Journal of Medical Informatics, 2019 Feb;122:55-62. doi:
10.1016/j.ijmedinf.2018.12.002. Epub 2018 Dec 10

Akbilgic O, Homayouni R, Heindrich K, Langham M, Davis RL. Unstructured text improves
prediction of death after surgery in children. Informatics. 2019 Jan 10; 6(1)4. doi 10.3390/informatics6010004

Dr. Oguz Akbilgic

2014

2014, O Akbilgic, H. Bozdogan, M.E. Balaban, A novel Hybrid RBF Neural Networks model as a forecaster. Statistics & Computing, 24 (3), 365-375

2014, O. Akbilgic, D. Zhu, I.D. Gates, J.A. Bergerson, Prediction of Canadaâs oil sands GHG emissions: statistical model selection & evaluation. International Conference on Environmental Scinece & Technologies, 232-234, 2014

2015

2015, O Akbilgic, Classification Trees Aided Mixed Regression Model, Journal of Applied Statistics, 42 (8), 1773-1781, 2015

2015, O Akbilgic, M. Mahmoudkhan, G. Doluweera, J.A. Bergerson, A meta-analysis and pre- dictive analysis of CO2 avoided costs for Carbon Capture investment decisions in power plants. Applied Energy, 159, 11-18

2015, O. Akbilgic, D. Zhu, I.D. Gates, J.A. Bergerson, Prediction of steam-assisted gravity drainage steam to oil ratio from reservoir characteristics. Energy, 93 (2), 1663–1670

2015, P. Humez; B. Mayer; Jenifer Ing; M. Nightingale, V. Becker, A. Kingston, O Akbilgic, S. Taylor, Occurrence and origin of methane in groundwater in Alberta (Canada): gas geochemical and isotopic approaches. Science of the Total Environment, 541, 1253–1268, 2015

2016

2016, M.R. Asoglu, T. Achjian, O Akbilgic, M.A Borahay, G. Kilic, The impact of a simulation training lab on outcomes of hysterectomy. Journal of Turkish-German Gynecological Association (17), 60-64, 2016

2016, O Akbilgic, A.J. Howe, R.L. Davis, Categorizing Atrial Fibrillation via Symbolic Pattern Recognition. Journal of Medical Statistics and Informatics, 4 (8)

2016, M.R. Langham Jr, O. Akbilgic, E. Huang, T. Jones, A. Walter, R.L. Davis, A Simple Decision Support Tool for Surgery in Children Utilizing NSQIP-Pediatric Data. Presented at ACS NSQIP 2016 Conference, July 16-17, 2016, San Diego, CA.

2016, R Mahajan, T Viangteeravat, O Akbilgic, Boosting the performance of symbolic pattern recognition by feature selection: A case study on detecting cardiac abnormalities. Artificial Intelligence in Medicine Conference, December 12-15, 2016, Dana point, CA.

2016, O. Akbilgic, R.L. Davis, Searching for Fingerprints of Paroxysmal Atrial Fibrialtion: A Symbolic Pattern Recognition Approach. Southern Regional Council On Statistics Summer Research Conference, 2016

2016, T. Viangteeravat, V.R. Nagisetty, O. Akbilgic, F. Sen, R. Mudunuri, O. Ajayi, R.L. Davis, Predicting risk of respiratory decompensation or death for hospitalized children with asthma or related conditions using machine learning techniques. Poster presentation at Pediatric Academic Societies Meeting, April 30-May 3, 2016

2017

2017, E Cubi, O Akbilgic, J Bergerson, An assessment framework to quantify the interaction between the built environment and the electricity grid. Applied Energy, 206, 22-31

2017, R Mahajan, T Viangteeravat, O Akbilgic, Improved detection of congestive heart failure via probabilistic symbolic pattern recognition and heart rate variability metrics. IEEE International Journal of Medical Informatics, 108, 55-63, 2017

2017, O Akbilgic, J.A. Howe, Symbolic Pattern Recognition for Sequential Data. Sequential Analysis, 36 (4), 528-540

2017, A Chan, D McKean, O Akbilgic, W Smith, Investigating The Impact of Demographic Features on Body Size Discrimination. Journal of Vision, 17 (10), 517.

2017, R Mahajan, R Kamaleswaran, JA Howe, O Akbilgic, Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forests. Computing in Cardiology, 44, 1-4, 2017

2017, GG Gyamlani,PK Potukuchi, O Akbilgic, M Soohoo, E Streja, K Sumida, K Kalantar-Zadeh, MZ Molnar, CP Kovesdy,Vancomycin-Associated AKI. J Am Soc Nephrol, 2017 (28), 420, 2017.

2017, R. Mahajan, R. Kamaleswaran, O. Akbilgic, Effects of varying sampling frequency on the analysis of continuous ECG data streams. Lecture Notes in Computer Science series, Springer, 10494, 2017.

2017, A Gaipov, MZ Molnar, PK Potukuchi, K Sumida, RB Canada, O Akbilgic, K Kabulbayev, K Kalantar-Zadeh, CP Kovesdy, Pre ESRD Coronary Artery Revascularization and Post ESRD Mortality. J Am Soc Nephrol, 2017 (28), 2, 2017

2017, T Viangteeravat, O Akbilgic, RL Davis, Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions. AMIA Jt Summits Transl Sci Proc, 2017, 287-294, 2017.

2017, A Gaipov, MZ Molnar, PK Potukuchi, K Sumida, O Akbilgic, E Streja, C Rhee, RB Canada, K Kalantar-Zadeh, CP Kovesdy, AKI Following CABG versus PCI in Advanced CKD Patients. J Am Soc Nephrol, 2017 (28), 417, 2017

2017, O Akbilgic, MR Langham Jr, RL Davis, Visualization of Racial Disparities in Surgical Outcomes among Children via Network Analysis of Pre-Operative Risk Factors. Southern Pediatric Research Conference: Big Data for Better Care, June 9, 2017

2017, E Cubi, J Bergerson, O Akbilgic, Grid Compensation Scores. Assessing the impact of buildings on the electricity grid. ISIE-ISSST 2017: Science in Support of Sustainable and Resilient Communities, 2017

2017, VW Franco, A Khojandi, R Kamaleswaran, O Akbilgic, S nemati, RL Davis, How Much Data Should We Collect? a Case Study in Sepsis Detection Using Deep Learning. IEEE-NIH 2017 Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies. Nov 6-8, 2017, MD, USA.

2017, R. Mahajan, T. Viangteeravat, O Akbilgic, Detection of Congestive Heart Failure Using R-R Interval Via Probabilistic Symbolic Pattern Recognition. 2017 IEEE International Conference on Biomedical and Health Informatics Feb. 16-19, 2017, Orlando, Florida, USA.

2017, R. Mahajan, R. Kamaleswaran, O Akbilgic, Paroxysmal Atrial Fibrillation Screening at Different ECG Sampling Frequencies Using Probabilistic Symbolic Pattern Recognition. 2017 IEEE International Conference on Biomedical and Health Informatics, Feb. 16-19, 2017, Orlando, Florida, USA.

2018

2018, R Mahajan, R Kamaleswaran, O Akbilgic, Differences and Overlaps of CNN vs Manually Extracted ECG Features: A Case Study on Arrhythmia Detection, METHODS of Information in Medicine (In Review)

2018, A Gaipov, MZ Molnar, PK Potukuchi, K Sumida, RB Canada, O Akbilgic, K Kabulbayev, K Kalantar-Zadeh, CP Kovesdy, Pre-Dialysis Coronary Revascularization and post-Dialysis Mortality. Thoracic and Cardiovascular Surgery, DOI: https://doi.org/10.1016/j.jtcvs.2018.08.107

2018, A Gaipov, MZ Molnar, PK Potukuchi, K Sumida, Z Szabo, O Akbilgic, E Streja, Cm Rhee, S Koshy, RB Canada, K Kalantar-Zadeh, CP Kovesdy, Acute Kidney Injury Following Coronary Revascularization in Patients with Advanced CKD, Nephrology Dialysis Transplant, gfy178, https://doi.org/10.1093/ntd/gfy178.

2018, J Sutton, R Mahajan, O Akbilgic, R Kamaleswaran, PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. Journal of Biomedical Health Informatics (10.1109/JBHI.2018.2832610)

2018, R Kamaleswaran, R Mahajan, O Akbilgic,A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using varying length single lead electrocardiogram. Physiologic Measurement.

2018, E Shin, R Mahajan, O Akbilgic, A Shaban-Nejad, Sociomarkers vs Biomarkers: Predictive Modeling in Identifying Pediatric Asthma Patients at Risk of Hospital Revisiting. Nature Digital Medicine, (2018) 1:50 ; doi:10.1038/s41746-018-0056-y

2018, R Kamaleswaran, O Akbilgic, MA Hallman, RL Davis, SH Shah, Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the Pediatric Intensive Care Unit. Pediatric Critical Care Medicine, PMID: 30052552, DOI: 10.1097/PCC.000000000001666.

2018, O Akbilgic, MR Langham, AI Walter, TL Jones, EY Huang, RL Davis, A novel risk classification system for 30-day mortality in children undergoing surgery. PLoS One, 13 (1), e0191176

2018, O Akbilgic, MR Langham, RL Davis, Race, Preoperative Risk Factors, and Death After Surgery. Pediatrics 2018 Feb;141(2). pii: e20172221. doi: 10.1542/peds.2017-2221

2018, R Mahajan, EK Shin, A Shaban-Nejad, MR Langham, M Martin, RL Davis, O Akbilgic, Disparities in Population-Level Socio-Economic Factors are Associated with Disparities in Preoperative Clinical Risk factors in Children, Stud Health Technol Inform. 2018;255:80-84, PMID: 30306911.

2018, R Mahajan, R Kamaleswaran and O Akbilgic, A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Las Vegas, NV, 2018, pp. 116-119. doi: 10.1109/BHI.2018.8333383

2018, EK Shin, R Mahajan, O Akbilgic, A Shaban-Nejad, Identifying Sociomarkers of Pediatric Asthma Patients at Risk of Hospital Revisiting. Online Journal of Public Health Informatics, Vol 10 (1): e135, 2018.

2018, R Kamaleswaran, O Akbilgic, M Hallman, A West, RL Davis, S Shah, Physiomarker Variability for Early Prediction of Severe Sepsis in the Pediatric Intensive Care Unit, Critical care Medicine, January 2018, 46 (1), p 745, doi: 10.1097/01.ccm.0000529525.72822.2e.

2018, R Mahajan, E Shin, A Shaban-Nejad, RL Davis, O Akbilgic, Analyzing Correlations between population-level socioeconomic markers and patient-level clinical risk factors for adverse pediatric surgery outcome. Southeastern Pediatric Research Conference: Precision Medicine, Atlanta, GA, June 8, 2018.

2018, R Mahajan, O Akbilgic, N Shafi, RL Davis, R Kamaleswaran, Heart Rate Features Can Predict Fever Onset in Critically Ill Children. Le Bonheur Children”s Hospital Research Conference, March 28, 2018, 54, 2018

2018, EK Shin, R Mahajan, O Akbilgic, A Shaban-Nejad, 2018. Identifying Sociomarkers of Pediatric Asthma Patients at Risk of Hospital Revisiting. Le Bonheur Children”s Hospital Research Conference, March 28, 2018, 53, 2018.

2018, O Akbilgic, R Homayouni, K Heindrich, MR Langham, RL Davis, 2018. Text data in EMRs has a lotto say about surgery outcome. Le Bonheur Children”s Hospital Research Conference, March 28, 2018, 9, 25, 2018

2018, EK Shin, R Mahajan, O Akbilgic, A Shaban-Nejad, 2018. Bringing the Socio-markers into Health Surveillance: A Predictive Model for Pediatric Asthma Patients at Risk of Hospital Revisiting. Medical Informatics Europe 2018, 2018

2019

2019, I Karabayir, O Akbilgic, N Tas, A novel learning algorithm to optimize deep neural networks: Evolved Gradient Direction Optimizer (EVGO), IEEE Transactions in Neural Networks and Learning Systems (In Review)

2019, O Akbilgic, Y Obi, P Potukuchi, I Karabayir, N Nguyen, M Soohoo, E Streja, MZ Molnar, C Rhee, K Kalantar-Zadeh, CP Kovesdy, Identification of patients at high risk of death within one year of initiation of dialysis using machine learning, Journal of American Society of Nephrology (In Review)

2019, G Gyamlani, P Potukuchi, F Thomas, O Akbilgic, M Soohoo, E Streja, A Naseer, K Sumida, MZ Molnar, K Kalantar-Zadeh, CP Kovesdy, Vancomycin-Associated Acute Kidney Injury, Journal of American Society of Nephrology (Accepted-In Press)

2019, O Akbilgic, R Homayouni, K Heindrich, MR Langham, RL Davis, Unstructured text improves prediction of death after surgery in children. Informatics: Special Issue on Data-Driven Health Informatics, 6(1): 4.

2019, R Kamaleswaran, R Mahajan, O Akbilgic, N Shafi, RL Davis, Machine Learning Applied To Continuous Physiologic Data Predicts Fever In Critically Ill Children, Critical Care Medicine, Vol: 47 (1), pp. 23.