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David Albers

TitleAssociate Professor
InstitutionUniversity of Colorado Denver - Anschutz Medical Campus
DepartmentSOM-BIOMED Informatics Gen Ops

    Collapse Research 
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    R01LM012734     (ALBERS, DAVID J.)Sep 20, 2017 - Aug 31, 2021
    NIH
    Mechanistic Machine Learning
    Role: Principal Investigator

    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Stroh JN, Sottile PD, Wang Y, Smith BJ, Bennett TD, Moss M, Albers DJ. Identifying low-dimensional trajectories of mechanically-ventilated patient systems: Empirical phenotypes of joint patient+care processes to enhance temporal analysis in ARDS research. medRxiv. 2024 Jun 11. PMID: 38168309.
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    2. Schlapbach LJ, Watson RS, Sorce LR, Argent AC, Menon K, Hall MW, Akech S, Albers DJ, Alpern ER, Balamuth F, Bembea M, Biban P, Carrol ED, Chiotos K, Chisti MJ, DeWitt PE, Evans I, Flauzino de Oliveira C, Horvat CM, Inwald D, Ishimine P, Jaramillo-Bustamante JC, Levin M, Lodha R, Martin B, Nadel S, Nakagawa S, Peters MJ, Randolph AG, Ranjit S, Rebull MN, Russell S, Scott HF, de Souza DC, Tissieres P, Weiss SL, Wiens MO, Wynn JL, Kissoon N, Zimmerman JJ, Sanchez-Pinto LN, Bennett TD. International Consensus Criteria for Pediatric Sepsis and Septic Shock. JAMA. 2024 02 27; 331(8):665-674. PMID: 38245889.
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    3. Sanchez-Pinto LN, Bennett TD, DeWitt PE, Russell S, Rebull MN, Martin B, Akech S, Albers DJ, Alpern ER, Balamuth F, Bembea M, Chisti MJ, Evans I, Horvat CM, Jaramillo-Bustamante JC, Kissoon N, Menon K, Scott HF, Weiss SL, Wiens MO, Zimmerman JJ, Argent AC, Sorce LR, Schlapbach LJ, Watson RS, Biban P, Carrol E, Chiotos K, Flauzino De Oliveira C, Hall MW, Inwald D, Ishimine P, Levin M, Lodha R, Nadel S, Nakagawa S, Peters MJ, Randolph AG, Ranjit S, Souza DC, Tissieres P, Wynn JL. Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock. JAMA. 2024 02 27; 331(8):675-686. PMID: 38245897.
      View in: PubMed
    4. Sottile PD, Smith B, Stroh JN, Albers DJ, Moss M. Flow-Limited and Reverse-Triggered Ventilator Dyssynchrony Are Associated With Increased Tidal and Dynamic Transpulmonary Pressure. Crit Care Med. 2024 05 01; 52(5):743-751. PMID: 38214566.
      View in: PubMed
    5. Briggs JK, Gresch A, Marinelli I, Dwulet JM, Albers DJ, Kravets V, Benninger RKP. ?-cell intrinsic dynamics rather than gap junction structure dictates subpopulations in the islet functional network. Elife. 2023 Nov 29; 12. PMID: 38018905.
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    6. Sottile PD, Smith B, Moss M, Albers DJ. The Development, Optimization, and Validation of Four Different Machine Learning Algorithms to Identify Ventilator Dyssynchrony. medRxiv. 2023 Nov 29. PMID: 38076801.
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    7. Wang Y, Stroh JN, Hripcsak G, Low Wang CC, Bennett TD, Wrobel J, Der Nigoghossian C, Mueller SW, Claassen J, Albers DJ. A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J Biomed Inform. 2023 12; 148:104547. PMID: 37984547.
      View in: PubMed
    8. Wang Y, Stroh JN, Hripcsak G, Low Wang CC, Bennett TD, Wrobel J, Der Nigoghossian C, Mueller S, Claassen J, Albers DJ. A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation. medRxiv. 2023 Aug 25. PMID: 37662404.
      View in: PubMed
    9. Albers D, Sirlanci M, Levine M, Claassen J, Nigoghossian C, Hripcsak G. Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J Biomed Inform. 2023 09; 145:104477. PMID: 37604272.
      View in: PubMed
    10. Bilodeaux J, Farooqi H, Osovskaya M, Sosa A, Wallbank A, Knudsen L, Sottile PD, Albers DJ, Smith BJ. Differential effects of two-hit models of acute and ventilator-induced lung injury on lung structure, function, and inflammation. Front Physiol. 2023; 14:1217183. PMID: 37565138.
      View in: PubMed
    11. Sirlanci M, Levine ME, Low Wang CC, Albers DJ, Stuart AM. A simple modeling framework for prediction in the human glucose-insulin system. Chaos. 2023 Jul 01; 33(7). PMID: 37486667.
      View in: PubMed
    12. Burgermaster M, Desai PM, Heitkemper EM, Juul F, Mitchell EG, Turchioe M, Albers DJ, Levine ME, Larson D, Mamykina L. Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. J Biomed Inform. 2023 08; 144:104419. PMID: 37301528.
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    13. Graham EJ, Elhadad N, Albers D. Reduced model for female endocrine dynamics: Validation and functional variations. Math Biosci. 2023 04; 358:108979. PMID: 36792027.
      View in: PubMed
    14. Stroh JN, Smith BJ, Sottile PD, Hripcsak G, Albers DJ. Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research. J Biomed Inform. 2023 01; 137:104275. PMID: 36572279.
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    15. Richter LR, Albert BI, Zhang L, Ostropolets A, Zitsman JL, Fennoy I, Albers DJ, Hripcsak G. Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery. Front Physiol. 2022; 13:923704. PMID: 36518108.
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    16. Martin B, DeWitt PE, Albers D, Bennett TD. Development of a Pediatric Blood Pressure Percentile Tool for Clinical Decision Support. JAMA Netw Open. 2022 10 03; 5(10):e2236918. PMID: 36251296.
      View in: PubMed
    17. Karamched BR, Hripcsak G, Leibel RL, Albers D, Ott W. Delay-induced uncertainty in the glucose-insulin system: Pathogenicity for obesity and type-2 diabetes mellitus. Front Physiol. 2022; 13:936101. PMID: 36117719.
      View in: PubMed
    18. Abohtyra RM, Chan CL, Albers DJ, Gluckman BJ. Inferring Insulin Secretion Rate from Sparse Patient Glucose and Insulin Measures. Front Physiol. 2022; 13:893862. PMID: 35991187.
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    19. Hripcsak G, Albers DJ. Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study. Methods Inf Med. 2022 06; 61(S 01):e35-e44. PMID: 35196735.
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    20. Rossetti SC, Dykes PC, Knaplund C, Kang MJ, Schnock K, Garcia JP, Fu LH, Chang F, Thai T, Fred M, Korach TZ, Zhou L, Klann JG, Albers D, Schwartz J, Lowenthal G, Jia H, Liu F, Cato K. The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR Res Protoc. 2021 Dec 10; 10(12):e30238. PMID: 34889766.
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    21. Sottile PD, Albers D, DeWitt PE, Russell S, Stroh JN, Kao DP, Adrian B, Levine ME, Mooney R, Larchick L, Kutner JS, Wynia MK, Glasheen JJ, Bennett TD. Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study. J Am Med Inform Assoc. 2021 10 12; 28(11):2354-2365. PMID: 33973011.
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    22. Agrawal DK, Smith BJ, Sottile PD, Albers DJ. A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms. Front Physiol. 2021; 12:724046. PMID: 34658911.
      View in: PubMed
    23. Albers DJ, Levine M, Gluckman B, Ginsberg H, Hripcsak G, Mamykina L. Correction:?Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput Biol. 2021 Aug; 17(8):e1009325. PMID: 34415908.
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    24. Fu LH, Knaplund C, Cato K, Perotte A, Kang MJ, Dykes PC, Albers D, Collins Rossetti S. Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J Am Med Inform Assoc. 2021 08 13; 28(9):1955-1963. PMID: 34270710.
      View in: PubMed
    25. Bennett TD, Russell S, Albers DJ. Neural Networks for Mortality Prediction: Ready for Prime Time? Pediatr Crit Care Med. 2021 06 01; 22(6):578-581. PMID: 34078844.
      View in: PubMed
    26. Mitchell EG, Heitkemper EM, Burgermaster M, Levine ME, Miao Y, Hwang ML, Desai PM, Cassells A, Tobin JN, Tabak EG, Albers DJ, Smaldone AM, Mamykina L. From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. Proc SIGCHI Conf Hum Factor Comput Syst. 2021 May; 2021. PMID: 35514864.
      View in: PubMed
    27. Stroh JN, Bennett TD, Kheyfets V, Albers D. Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales. JMIR Med Inform. 2021 Mar 22; 9(3):e23215. PMID: 33749613.
      View in: PubMed
    28. Stroh JN, Albers DJ, Bennett TD. Personalization and Pragmatism: Pediatric Intracranial Pressure and Cerebral Perfusion Pressure Treatment Thresholds. Pediatr Crit Care Med. 2021 02 01; 22(2):213-216. PMID: 33528196.
      View in: PubMed
    29. Karamched B, Hripcsak G, Albers D, Ott W. Delay-induced uncertainty for a paradigmatic glucose-insulin model. Chaos. 2021 Feb; 31(2):023142. PMID: 33653035.
      View in: PubMed
    30. Sottile PD, Albers D, DeWitt PE, Russell S, Stroh JN, Kao DP, Adrian B, Levine ME, Mooney R, Larchick L, Kutner JS, Wynia MK, Glasheen JJ, Bennett TD. Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study. medRxiv. 2021 Jan 15. PMID: 33469601.
      View in: PubMed
    31. Mitchell EG, Tabak EG, Levine ME, Mamykina L, Albers DJ. Enabling personalized decision support with patient-generated data and attributable components. J Biomed Inform. 2021 01; 113:103639. PMID: 33316422.
      View in: PubMed
    32. Sottile PD, Albers D, Smith BJ, Moss MM. Ventilator dyssynchrony - Detection, pathophysiology, and clinical relevance: A Narrative review. Ann Thorac Med. 2020 Oct-Dec; 15(4):190-198. PMID: 33381233.
      View in: PubMed
    33. Burgermaster M, Son JH, Davidson PG, Smaldone AM, Kuperman G, Feller DJ, Burt KG, Levine ME, Albers DJ, Weng C, Mamykina L. A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. Int J Med Inform. 2020 07; 139:104158. PMID: 32388157.
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    34. Fu LH, Schwartz J, Moy A, Knaplund C, Kang MJ, Schnock KO, Garcia JP, Jia H, Dykes PC, Cato K, Albers D, Rossetti SC. Development and validation of early warning score system: A systematic literature review. J Biomed Inform. 2020 05; 105:103410. PMID: 32278089.
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    35. Albers DJ, Levine ME, Mamykina L, Hripcsak G. The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems. Math Biosci. 2019 10; 316:108242. PMID: 31454628.
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    36. Albers DJ, Blancquart PA, Levine ME, Seylabi EE, Stuart A. Ensemble Kalman Methods With Constraints. Inverse Probl. 2019; 35(9). PMID: 33223593.
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    37. Woldaregay AZ, ?rsand E, Walderhaug S, Albers D, Mamykina L, Botsis T, Hartvigsen G. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artif Intell Med. 2019 07; 98:109-134. PMID: 31383477.
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    38. Roh DJ, Albers DJ, Magid-Bernstein J, Doyle K, Hod E, Eisenberger A, Murthy S, Witsch J, Park S, Agarwal S, Connolly ES, Elkind MSV, Claassen J. Low hemoglobin and hematoma expansion after intracerebral hemorrhage. Neurology. 2019 07 23; 93(4):e372-e380. PMID: 31209179.
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    39. Woldaregay AZ, ?rsand E, Botsis T, Albers D, Mamykina L, Hartvigsen G. Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes. J Med Internet Res. 2019 05 01; 21(5):e11030. PMID: 31042157.
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    40. Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc. 2018 10 01; 25(10):1366-1374. PMID: 29905826.
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    41. Albers DJ, Levine ME, Stuart A, Mamykina L, Gluckman B, Hripcsak G. Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype. J Am Med Inform Assoc. 2018 10 01; 25(10):1392-1401. PMID: 30312445.
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    42. Levine ME, Albers DJ, Hripcsak G. Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J Biomed Inform. 2018 10; 86:149-159. PMID: 30172760.
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    43. Sottile PD, Albers D, Moss MM. Neuromuscular blockade is associated with the attenuation of biomarkers of epithelial and endothelial injury in patients with moderate-to-severe acute respiratory distress syndrome. Crit Care. 2018 Mar 10; 22(1):63. PMID: 29523157.
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    44. Hripcsak G, Albers DJ. High-fidelity phenotyping: richness and freedom from bias. J Am Med Inform Assoc. 2018 Mar 01; 25(3):289-294. PMID: 29040596.
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    45. Sottile PD, Albers D, Higgins C, Mckeehan J, Moss MM. The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm. Crit Care Med. 2018 02; 46(2):e151-e157. PMID: 29337804.
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    46. Albers DJ, Elhadad N, Claassen J, Perotte R, Goldstein A, Hripcsak G. Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J Biomed Inform. 2018 02; 78:87-101. PMID: 29369797.
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    47. Chakrabarti S, Sen A, Huser V, Hruby GW, Rusanov A, Albers DJ, Weng C. An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0. J Healthc Inform Res. 2017 Jun; 1(1):1-18. PMID: 28776047.
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    48. Albers DJ, Levine M, Gluckman B, Ginsberg H, Hripcsak G, Mamykina L. Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput Biol. 2017 04; 13(4):e1005232. PMID: 28448498.
      View in: PubMed
    49. Foreman B, Albers D, Schmidt JM, Falo CM, Velasquez A, Connolly ES, Claassen J. Intracortical electrophysiological correlates of blood flow after severe SAH: A multimodality monitoring study. J Cereb Blood Flow Metab. 2018 03; 38(3):506-517. PMID: 28387139.
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    50. Levine ME, Albers DJ, Hripcsak G. Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data. AMIA Annu Symp Proc. 2016; 2016:779-788. PMID: 28269874.
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    51. Claassen J, Rahman SA, Huang Y, Frey HP, Schmidt JM, Albers D, Falo CM, Park S, Agarwal S, Connolly ES, Kleinberg S. Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage. PLoS One. 2016; 11(4):e0149878. PMID: 27123582.
      View in: PubMed
    52. Mamykina L, Levine ME, Davidson PG, Smaldone AM, Elhadad N, Albers DJ. Data-driven health management: reasoning about personally generated data in diabetes with information technologies. J Am Med Inform Assoc. 2016 05; 23(3):526-31. PMID: 26984049.
      View in: PubMed
    53. Hripcsak G, Albers DJ, Perotte A. Parameterizing time in electronic health record studies. J Am Med Inform Assoc. 2015 Jul; 22(4):794-804. PMID: 25725004.
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    54. Hagar Y, Albers D, Pivovarov R, Chase H, Dukic V, Elhadad N. Survival Analysis with Electronic Health Record Data: Experiments with Chronic Kidney Disease. Stat Anal Data Min. 2014 Oct; 7(5):385-403. PMID: 33981381.
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    55. Albers DJ, Elhadad N, Tabak E, Perotte A, Hripcsak G. Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations. PLoS One. 2014; 9(6):e96443. PMID: 24933368.
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    56. Pivovarov R, Albers DJ, Hripcsak G, Sepulveda JL, Elhadad N. Temporal trends of hemoglobin A1c testing. J Am Med Inform Assoc. 2014 Nov-Dec; 21(6):1038-44. PMID: 24928176.
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    57. Schmidt JM, Sow D, Crimmins M, Albers D, Agarwal S, Claassen J, Connolly ES, Elkind MS, Hripcsak G, Mayer SA. Heart rate variability for preclinical detection of secondary complications after subarachnoid hemorrhage. Neurocrit Care. 2014 Jun; 20(3):382-9. PMID: 24610353.
      View in: PubMed
    58. Claassen J, Albers D, Schmidt JM, De Marchis GM, Pugin D, Falo CM, Mayer SA, Cremers S, Agarwal S, Elkind MS, Connolly ES, Dukic V, Hripcsak G, Badjatia N. Nonconvulsive seizures in subarachnoid hemorrhage link inflammation and outcome. Ann Neurol. 2014 May; 75(5):771-81. PMID: 24771589.
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    59. Pivovarov R, Albers DJ, Sepulveda JL, Elhadad N. Identifying and mitigating biases in EHR laboratory tests. J Biomed Inform. 2014 Oct; 51:24-34. PMID: 24727481.
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    60. Hripcsak G, Albers DJ. Correlating electronic health record concepts with healthcare process events. J Am Med Inform Assoc. 2013 Dec; 20(e2):e311-8. PMID: 23975625.
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    61. Claassen J, Perotte A, Albers D, Kleinberg S, Schmidt JM, Tu B, Badjatia N, Lantigua H, Hirsch LJ, Mayer SA, Connolly ES, Hripcsak G. Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes. Ann Neurol. 2013 Jul; 74(1):53-64. PMID: 23813945.
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    62. Boland MR, Hripcsak G, Albers DJ, Wei Y, Wilcox AB, Wei J, Li J, Lin S, Breene M, Myers R, Zimmerman J, Papapanou PN, Weng C. Discovering medical conditions associated with periodontitis using linked electronic health records. J Clin Periodontol. 2013 May; 40(5):474-82. PMID: 23495669.
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    63. Albers DJ, Hripcsak G, Schmidt M. Population physiology: leveraging electronic health record data to understand human endocrine dynamics. PLoS One. 2012; 7(12):e48058. PMID: 23272040.
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    64. Hripcsak G, Albers DJ. Next-generation phenotyping of electronic health records. J Am Med Inform Assoc. 2013 Jan 01; 20(1):117-21. PMID: 22955496.
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    65. Albers DJ, Hripcsak G. Estimation of time-delayed mutual information and bias for irregularly and sparsely sampled time-series. Chaos Solitons Fractals. 2012 Jun 01; 45(6):853-860. PMID: 22536009.
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    66. Albers DJ, Hripcsak G. Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations. Chaos. 2012 Mar; 22(1):013111. PMID: 22462987.
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    67. Sedigh-Sarvestani M, Albers DJ, Gluckman BJ. Data assimilation of glucose dynamics for use in the intensive care unit. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:5437-40. PMID: 23367159.
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    68. Hripcsak G, Albers DJ, Perotte A. Exploiting time in electronic health record correlations. J Am Med Inform Assoc. 2011 Dec; 18 Suppl 1:i109-15. PMID: 22116643.
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    69. Albers DJ, Hripcsak G. A statistical dynamics approach to the study of human health data: resolving population scale diurnal variation in laboratory data. Phys Lett A. 2010 Feb 15; 374(9):1159-1164. PMID: 20544004.
      View in: PubMed
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