Jean Feng, MS, PhD

Title(s)Assistant Professor, Epidemiology & Biostatistics
SchoolSchool of Medicine
Address550 16th Street, #2532
San Francisco CA 94158
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    Stanford University, Stanford, CABS2013Computer Science
    Stanford University, Stanford, CAMS2013Computer Science
    University of Washington, Seattle, WAMS2020Biostatistics
    University of Washington, Seattle, WAPhD2020Biostatistics

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Homelessness and Incidence and Causes of Sudden Death: Data From the POST SCD Study. JAMA Intern Med. 2023 Dec 01; 183(12):1306-1314. Haghighat L, Ramakrishna S, Salazar JW, Feng J, Chiang J, Moffatt E, Tseng ZH. PMID: 37870865; PMCID: PMC10594172.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    2. Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors. Bioengineering (Basel). 2023 Aug 05; 10(8). Zamirpour S, Hubbard AE, Feng J, Butte AJ, Pirracchio R, Bishara A. PMID: 37627817; PMCID: PMC10451203.
      View in: PubMed   Mentions:
    3. Multi-institutional Development and External Validation of a Machine Learning Model for the Prediction of Distant Metastasis in Patients Treated by Salvage Radiotherapy for Biochemical Failure After Radical Prostatectomy. Eur Urol Focus. 2024 Jan; 10(1):66-74. Sabbagh A, Tilki D, Feng J, Huland H, Graefen M, Wiegel T, Böhmer D, Hong JC, Valdes G, Cowan JE, Cooperberg M, Feng FY, Mohammad T, Shelan M, D'Amico AV, Carroll PR, Mohamad O. PMID: 37507248.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    4. Development and Validation of Prediction Models and Risk Calculators for Posthepatectomy Liver Failure and Postoperative Complications Using a Diverse International Cohort of Major Hepatectomies. Ann Surg. 2023 12 01; 278(6):976-984. Wang JJ, Feng J, Gomes C, Calthorpe L, Ashraf Ganjouei A, Romero-Hernandez F, Benedetti Cacciaguerra A, Hibi T, Adam MA, Alseidi A, Abu Hilal M, Rashidian N, International Post-Hepatectomy Liver Failure Study Group. PMID: 37226846.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    5. Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting. Nephrol Dial Transplant. 2023 03 31; 38(4):834-844. Lazzareschi D, Mehta RL, Dember LM, Bernholz J, Turan A, Sharma A, Kheterpal S, Parikh CR, Ali O, Schulman IH, Ryan A, Feng J, Simon N, Pirracchio R, Rossignol P, Legrand M. PMID: 35022767; PMCID: PMC10064977.
      View in: PubMed   Mentions: 6     Fields:    Translation:Humans
    6. Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer. Eur Urol Oncol. 2023 Oct; 6(5):501-507. Sabbagh A, Washington SL, Tilki D, Hong JC, Feng J, Valdes G, Chen MH, Wu J, Huland H, Graefen M, Wiegel T, Böhmer D, Cowan JE, Cooperberg M, Feng FY, Roach M, Trock BJ, Partin AW, D'Amico AV, Carroll PR, Mohamad O. PMID: 36868922.
      View in: PubMed   Mentions: 1     Fields:    
    7. Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. NPJ Digit Med. 2023 Feb 22; 6(1):27. Esteva A, Feng J, van der Wal D, Huang SC, Simko JP, DeVries S, Chen E, Schaeffer EM, Morgan TM, Sun Y, Ghorbani A, Naik N, Nathawani D, Socher R, Michalski JM, Roach M, Pisansky TM, Monson JM, Naz F, Wallace J, Ferguson MJ, Bahary JP, Zou J, Lungren M, Yeung S, Ross AE, NRG Prostate Cancer AI Consortium, Sandler HM, Tran PT, Spratt DE, Pugh S, Feng FY, Mohamad O. PMID: 36813827; PMCID: PMC9947124.
      View in: PubMed   Mentions:
    8. Hypertension Requiring Medication Use: a Silent Predictor of Poor Outcomes After Pancreaticoduodenectomy. J Gastrointest Surg. 2023 02; 27(2):328-336. Lin JJ, Conroy PC, Romero-Hernandez F, Yilma M, Feng J, Hirose K, Nakakura E, Maker AV, Corvera C, Kirkwood K, Alseidi A, Adam MA. PMID: 36624324.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    9. Hand-Assisted Versus Pure Minimally-Invasive Distal Pancreatectomy: Is There a Downside to Lending a Hand? World J Surg. 2023 03; 47(3):750-758. Miller PN, Romero-Hernandez F, Conroy P, Calthorpe L, Yilma M, Mohamedaly S, Kelly YM, Feng J, Hirose K, Kirkwood K, Maker AV, Corvera C, Nakakura E, Alseidi A, Adam MA. PMID: 36402918.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    10. Sequential algorithmic modification with test data reuse. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. 2022; (180):674-684. Jean Feng, Gene Pennllo, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann. View Publication.
    11. Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. NPJ Digit Med. 2022 Jun 08; 5(1):71. Esteva A, Feng J, van der Wal D, Huang SC, Simko JP, DeVries S, Chen E, Schaeffer EM, Morgan TM, Sun Y, Ghorbani A, Naik N, Nathawani D, Socher R, Michalski JM, Roach M, Pisansky TM, Monson JM, Naz F, Wallace J, Ferguson MJ, Bahary JP, Zou J, Lungren M, Yeung S, Ross AE, NRG Prostate Cancer AI Consortium, Sandler HM, Tran PT, Spratt DE, Pugh S, Feng FY, Mohamad O. PMID: 35676445; PMCID: PMC9177850.
      View in: PubMed   Mentions: 11  
    12. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. NPJ Digit Med. 2022 May 31; 5(1):66. Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, Pirracchio R. PMID: 35641814; PMCID: PMC9156743.
      View in: PubMed   Mentions: 30  
    13. Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. J Am Med Inform Assoc. 2022 04 13; 29(5):841-852. Feng J, Gossmann A, Sahiner B, Pirracchio R. PMID: 35022756; PMCID: PMC9006691.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    14. Ensembled sparse-input hierarchical networks for high-dimensional datasets. Statistical Analysis and Data Mining. 2022. Jean Feng, Noah Simon. View Publication.
    15. Selective prediction-set models with coverage rate guarantees. Biometrics. 2023 06; 79(2):811-825. Feng J, Sondhi A, Perry J, Simon N. PMID: 34854476.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    16. Estimation of cell lineage trees by maximum-likelihood phylogenetics. Annals of Applied Statistics. 2021. Feng J, DeWitt III W, McKenna A, Simon N, Willis Amy, Matsen IV, F. View Publication.
    17. Learning to safely approve updates to machine learning algorithms. Proceedings of the Conference on Health, Inference, and Learning. 2021. Feng J. View Publication.
    18. ESTIMATION OF CELL LINEAGE TREES BY MAXIMUM-LIKELIHOOD PHYLOGENETICS. Ann Appl Stat. 2021 Mar; 15(1):343-362. Feng J, Dewitt WS, McKenna A, Simon N, Willis AD, Matsen FA. PMID: 35990087; PMCID: PMC9387344.
      View in: PubMed   Mentions: 15  
    19. An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression. Statistica Sinica. 2020. Feng J and Simon N. . View Publication.
    20. Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep". Biometrics. 2021 03; 77(1):52-53. Feng J, Emerson S, Simon N. PMID: 33040357.
      View in: PubMed   Mentions:    Fields:    
    21. Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep. Biometrics. 2021 03; 77(1):31-44. Feng J, Emerson S, Simon N. PMID: 32981103; PMCID: PMC7946712.
      View in: PubMed   Mentions: 6     Fields:    
    22. Efficient nonparametric statistical inference on population feature importance using Shapley values. International Conference on Machine Learning. 2020. Williamson B, Feng J. View Publication.
    23. Survival analysis of DNA mutation motifs with penalized proportional hazards. Annals of Applied Statistics. 2019; 13. Feng J, Shaw D, Minin V, Simon N, and Matsen, FA. View Publication.
    24. Deep generative models for T cell receptor protein sequences. Elife. 2019 09 05; 8. Davidsen K, Olson BJ, DeWitt WS, Feng J, Harkins E, Bradley P, Matsen FA. PMID: 31487240; PMCID: PMC6728137.
      View in: PubMed   Mentions: 22     Fields:    Translation:Humans
    25. Nonparametric variable importance using an augmented neural network with multi-task learning. International Conference on Machine Learning. 2018. Feng J, Williamson B, Simon N, and Carone M. View Publication.
    26. Gradient-based Regularization Parameter Selection for Problems With Nonsmooth Penalty Functions. Journal of Computational and Graphical Statistics. 2018. Feng J, Simon N. View Publication.
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