Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13043, first published .
Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

Journals

  1. Sendak M, Ratliff W, Sarro D, Alderton E, Futoma J, Gao M, Nichols M, Revoir M, Yashar F, Miller C, Kester K, Sandhu S, Corey K, Brajer N, Tan C, Lin A, Brown T, Engelbosch S, Anstrom K, Elish M, Heller K, Donohoe R, Theiling J, Poon E, Balu S, Bedoya A, O'Brien C. Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study. JMIR Medical Informatics 2020;8(7):e15182 View
  2. Bahar B, Schulz W, Gokhale A, Spencer B, Gehrie E, Snyder E. Blood utilisation and transfusion reactions in adult patients transfused with conventional or pathogen‐reduced platelets. British Journal of Haematology 2020;188(3):465 View
  3. Choi Y, Kim Y, Chung J, Kim K, Kim H, Park R, Park D. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Medical Informatics 2020;8(4):e15124 View
  4. Durant T, Gong G, Price N, Schulz W. Bridging the Collaboration Gap: Real-time Identification of Clinical Specimens for Biomedical Research. Journal of Pathology Informatics 2020;11(1):14 View
  5. Goodwin A, Eytan D, Greer R, Mazwi M, Thommandram A, Goodfellow S, Assadi A, Jegatheeswaran A, Laussen P. A practical approach to storage and retrieval of high-frequency physiological signals. Physiological Measurement 2020;41(3):035008 View
  6. Schulz W, Durant T, Torre Jr C, Hsiao A, Krumholz H. Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform. Journal of Medical Internet Research 2020;22(5):e18707 View
  7. Wen A, Fu S, Moon S, El Wazir M, Rosenbaum A, Kaggal V, Liu S, Sohn S, Liu H, Fan J. Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digital Medicine 2019;2(1) View
  8. Haimovich A, Warner F, Young H, Ravindra N, Sehanobish A, Gong G, Wilson F, van Dijk D, Schulz W, Taylor R. Patient factors associated with SARS‐CoV‐2 in an admitted emergency department population. Journal of the American College of Emergency Physicians Open 2020;1(4):569 View
  9. Soares E, Thrall J, Stephens T, Rodriguez Biglieri R, Consoli A, Bunge E. Publication Trends in Psychotherapy: Bibliometric Analysis of the Past 5 Decades. American Journal of Psychotherapy 2020;73(3):85 View
  10. Haimovich A, Ravindra N, Stoytchev S, Young H, Wilson F, van Dijk D, Schulz W, Taylor R. Development and Validation of the Quick COVID-19 Severity Index: A Prognostic Tool for Early Clinical Decompensation. Annals of Emergency Medicine 2020;76(4):442 View
  11. Mori M, Weininger G, Shang M, Brooks C, Mullan C, Najem M, Malczewska M, Vallabhajosyula P, Geirsson A. Association between coronary artery bypass graft center volume and year-to-year outcome variability: New York and California statewide analysis. The Journal of Thoracic and Cardiovascular Surgery 2021;161(3):1035 View
  12. Lyu X, Hu J, Dong W, Xu X. Intellectual Structure and Evolutionary Trends of Precision Medicine Research: Coword Analysis. JMIR Medical Informatics 2020;8(2):e11287 View
  13. McPadden J, Warner F, Young H, Hurley N, Pulk R, Singh A, Durant T, Gong G, Desai N, Haimovich A, Taylor R, Gunel M, Dela Cruz C, Farhadian S, Siner J, Villanueva M, Churchwell K, Hsiao A, Torre C, Velazquez E, Herbst R, Iwasaki A, Ko A, Mortazavi B, Krumholz H, Schulz W, Di Gennaro F. Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection. PLOS ONE 2021;16(3):e0243291 View
  14. Schulz W, Young H, Coppi A, Mortazavi B, Lin Z, Jean R, Krumholz H. Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics and Decision Making 2021;21(1) View
  15. El-Khoury J, Schulz W, Durant T. Longitudinal Assessment of SARS-CoV-2 Antinucleocapsid and Antispike-1-RBD Antibody Testing Following PCR-Detected SARS-CoV-2 Infection. The Journal of Applied Laboratory Medicine 2021;6(4):1005 View
  16. Wang E, Mao T, Klein J, Dai Y, Huck J, Jaycox J, Liu F, Zhou T, Israelow B, Wong P, Coppi A, Lucas C, Silva J, Oh J, Song E, Perotti E, Zheng N, Fischer S, Campbell M, Fournier J, Wyllie A, Vogels C, Ott I, Kalinich C, Petrone M, Watkins A, Obaid A, Moore A, Casanovas-Massana A, Lu-Culligan A, Nelson A, Nunez A, Martin A, Geng B, Odio C, Harden C, Todeasa C, Jensen C, Kim D, McDonald D, Shepard D, Courchaine E, White E, Silva E, Kudo E, DeIuliis G, Rahming H, Park H, Matos I, Nouws J, Valdez J, Lim J, Rose K, Anastasio K, Brower K, Glick L, Sharma L, Sewanan L, Knaggs L, Minasyan M, Batsu M, Kuang M, Nakahata M, Linehan M, Askenase M, Simonov M, Smolgovsky M, Sonnert N, Naushad N, Vijayakumar P, Martinello R, Datta R, Handoko R, Bermejo S, Prophet S, Bickerton S, Velazquez S, Rice T, Khoury-Hanold W, Peng X, Yang Y, Cao Y, Strong Y, Dela Cruz C, Farhadian S, Schulz W, Ma S, Grubaugh N, Ko A, Iwasaki A, Ring A. Diverse functional autoantibodies in patients with COVID-19. Nature 2021;595(7866):283 View
  17. Eric V, Yi V, Murdock D, Kalla S, Wu T, Sabo A, Li S, Meng Q, Tian X, Murugan M, Cohen M, Kovar C, Wei W, Chung W, Weng C, Wiesner G, Jarvik G, Muzny D, Gibbs R, Abrams D, Adunyah S, Albertson-Junkans L, Almoguera B, Ames D, Appelbaum P, Aronson S, Aufox S, Babb L, Balasubramanian A, Bangash H, Basford M, Bastarache L, Baxter S, Behr M, Benoit B, Bhoj E, Bielinski S, Bland S, Blout C, Borthwick K, Bottinger E, Bowser M, Brand H, Brilliant M, Brodeur W, Caraballo P, Carrell D, Carroll A, Castillo L, Castro V, Chandanavelli G, Chiang T, Chisholm R, Christensen K, Chung W, Chute C, City B, Cobb B, Connolly J, Crane P, Crew K, Crosslin D, Dayal J, De Andrade M, De la Cruz J, Denny J, Denson S, DeSmet T, Dikilitas O, Dinsmore M, Dodge S, Dunlea P, Edwards T, Eng C, Fasel D, Fedotov A, Feng Q, Fleharty M, Foster A, Freimuth R, Friedrich C, Fullerton S, Funke B, Gabriel S, Gainer V, Gharavi A, Glazer A, Glessner J, Goehringer J, Gordon A, Graham C, Green R, Gundelach J, Hain H, Hakonarson H, Harden M, Harley J, Harr M, Hartzler A, Hayes M, Hebbring S, Henrikson N, Hershey A, Hoell C, Holm I, Howell K, Hripcsak G, Hu J, Hynes E, Jayaseelan J, Jiang Y, Joo Y, Jose S, Josyula N, Justice A, Kalra D, Karlson E, Keating B, Kelly M, Kenny E, Key D, Kiryluk K, Kitchner T, Klanderman B, Klee E, Kochan D, Korchina V, Kottyan L, Kudalkar E, Rahm A, Kullo I, Lammers P, Larson E, Lebo M, Leduc M, Lee M, Lennon N, Leppig K, Leslie N, Li R, Liang W, Lin C, Linder J, Lindor N, Lingren T, Linneman J, Liu C, Liu W, Liu X, Lynch J, Lyon H, Macbeth A, Mahadeshwar H, Mahanta L, Malin B, Manolio T, Marasa M, Marsolo K, McGowan M, McNally E, Meldrim J, Mentch F, Rasouly H, Mosley J, Mukherjee S, Mullen T, Muniz J, Murdock D, Murphy S, Myers M, Namjou B, Ni Y, Onofrio R, Obeng A, Person T, Peterson J, Petukhova L, Pisieczko C, Pratap S, Prows C, Puckelwartz M, Raj R, Ralston J, Ramaprasan A, Ramirez A, Rasmussen L, Rasmussen-Torvik L, Raychaudhuri S, Rehm H, Ritchie M, Rives C, Riza B, Roden D, Rosenthal E, Santani A, Dan S, Scherer S, Scott S, Scrol A, Sengupta S, Shang N, Sharma H, Sharp R, Singh R, Sleiman P, Slowik K, Smith J, Smith M, Smoot D, Smoller J, Sohn S, Stanaway I, Starren J, Stroud M, Su J, Taylor C, Tolwinski K, Van Driest S, Vargas S, Varugheese M, Veenstra D, Venner E, Verbitsky M, Vicente G, Wagner M, Walker K, Walunas T, Wang L, Wang Q, Weiss S, Wells Q, White P, Wiley K, Williams J, Williams M, Wilson M, Witkowski L, Woods L, Woolf B, Wynn J, Yang Y, Zhang G, Zhang L, Zouk H. Neptune: an environment for the delivery of genomic medicine. Genetics in Medicine 2021 View
  18. Jiang G, Dhruva S, Chen J, Schulz W, Doshi A, Noseworthy P, Zhang S, Yu Y, Patrick Young H, Brandt E, Ervin K, Shah N, Ross J, Coplan P, Drozda J. Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. Journal of the American Medical Informatics Association 2021;28(10):2241 View
  19. Jilani M, Javed Z, Yahya T, Valero-Elizondo J, Khan S, Kash B, Blankstein R, Virani S, Blaha M, Dubey P, Hyder A, Vahidy F, Cainzos-Achirica M, Nasir K. Social Determinants of Health and Cardiovascular Disease: Current State and Future Directions Towards Healthcare Equity. Current Atherosclerosis Reports 2021;23(9) View
  20. Bahar B, Gehrie E, Mo Y, Jacquot C, Delaney M. Measuring the Impact of a Blood Supply Shortage Using Data Science. The Journal of Applied Laboratory Medicine 2023;8(1):77 View
  21. Durant T, Dudgeon S, McPadden J, Simpson A, Price N, Schulz W, Torres R, Olson E. Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes. Clinical Chemistry 2021;68(1):218 View
  22. Amado G, Ferreira D, Nunes A. Vertical integration in healthcare: What does literature say about improvements on quality, access, efficiency, and costs containment?. The International Journal of Health Planning and Management 2022;37(3):1252 View
  23. Nestsiarovich A, Reps J, Matheny M, DuVall S, Lynch K, Beaton M, Jiang X, Spotnitz M, Pfohl S, Shah N, Torre C, Reich C, Lee D, Son S, You S, Park R, Ryan P, Lambert C. Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Translational Psychiatry 2021;11(1) View
  24. Khera R, Mortazavi B, Sangha V, Warner F, Patrick Young H, Ross J, Shah N, Theel E, Jenkinson W, Knepper C, Wang K, Peaper D, Martinello R, Brandt C, Lin Z, Ko A, Krumholz H, Pollock B, Schulz W. A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digital Medicine 2022;5(1) View
  25. Lind M, Robertson A, Silva J, Warner F, Coppi A, Price N, Duckwall C, Sosensky P, Di Giuseppe E, Borg R, Fofana M, Ranzani O, Dean N, Andrews J, Croda J, Iwasaki A, Cummings D, Ko A, Hitchings M, Schulz W, Geng E. Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis. PLOS Medicine 2022;19(12):e1004136 View
  26. Stefanicka-Wojtas D, Kurpas D. Personalised Medicine—Implementation to the Healthcare System in Europe (Focus Group Discussions). Journal of Personalized Medicine 2023;13(3):380 View
  27. Gajendran M, Rohowetz L, Koulen P, Mehdizadeh A. Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma. Frontiers in Neuroscience 2022;16 View
  28. Safa M, Pandian A. RETRACTED ARTICLE: Intelligent Big Data Analytics Model for Efficient Cardiac Disease Prediction with IoT Devices in WSN Using Fuzzy Rules. Wireless Personal Communications 2022;127(S1):23 View
  29. Raj M, Ryan K, Amara P, Nong P, Calhoun K, Trinidad M, Thiel D, Spector-Bagdady K, De Vries R, Kardia S, Platt J. Policy Preferences Regarding Health Data Sharing Among Patients With Cancer: Public Deliberations. JMIR Cancer 2023;9:e39631 View
  30. Ahmad T, Desai N. Reimagining Evidence Generation for Heart Failure and the Role of Integrated Health Care Systems. Circulation: Cardiovascular Quality and Outcomes 2022;15(4) View
  31. Martínez-García M, Hernández-Lemus E. Data Integration Challenges for Machine Learning in Precision Medicine. Frontiers in Medicine 2022;8 View
  32. Chang V, Bhavani V, Xu A, Hossain M. An artificial intelligence model for heart disease detection using machine learning algorithms. Healthcare Analytics 2022;2:100016 View
  33. Wu C, Wang S, Su Y, Hsieh T, Chen P, Cheng Y, Tseng T, Chang W, Su C, Kuo L, Chien J, Lai F. A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning. IEEE Journal of Translational Engineering in Health and Medicine 2022;10:1 View
  34. Wang Q, Gupta V, Cao A, Singhal A, Gary T, Adunyah S. A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College. International Journal of Environmental Research and Public Health 2023;20(6):4775 View
  35. Maletzky A, Böck C, Tschoellitsch T, Roland T, Ludwig H, Thumfart S, Giretzlehner M, Hochreiter S, Meier J. Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities. JMIR Medical Informatics 2022;10(10):e38557 View
  36. Vischioni C, Bove F, Mandreoli F, Martoglia R, Pisi V, Taccioli C. Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research. Big Data Research 2022;27:100298 View
  37. Lee J, Kim S, Kim K, Chai Y, Yu H, Kim S, Choi J, Chung Y, Lee K, Yi K. Assessment of Inter-Institutional Post-Operative Hypoparathyroidism Status Using a Common Data Model. Journal of Clinical Medicine 2021;10(19):4454 View
  38. Gentner T, Neitzel T, Schulze J, Gerschner F, Theissler A. Data Lakes in Healthcare: Applications and Benefits from the Perspective of Data Sources and Players. Procedia Computer Science 2023;225:1302 View
  39. Dowden J, Pretty R, Shea J, Dermody M, Doyle G, Antle S, Bond D. A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada. Health Informatics Journal 2024;30(3) View
  40. Mosavi N, Santos M. Enhancing Clinical Decision Support for Precision Medicine: A Data-Driven Approach. Informatics 2024;11(3):68 View
  41. Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024;24(1) View

Books/Policy Documents

  1. Barrera-Cámara R, Canepa-Saenz A, Ruiz-Vanoye J, Fuentes-Penna A, Ruiz-Jaimes M, Bernábe-Loranca M. Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics. View
  2. Ayatollahi H. Data Science with Semantic Technologies. View
  3. Cherradi M, El Haddadi A. Emerging Trends in Intelligent Systems & Network Security. View
  4. Cherradi M, EL Haddadi A. Innovations in Smart Cities Applications Volume 5. View
  5. Vogel M, Varoß W. Health Data Management. View
  6. Sudha K, Balakrishnan C, Anish T, Nithya T, Yamini B, Siva Subramanian R, Nalini M. Critical Approaches to Data Engineering Systems and Analysis. View
  7. Jat A, Grønli T, Ghinea G. Mobile Web and Intelligent Information Systems. View
  8. Akalya A, Swedha V. Computational Intelligence in Data Science. View