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Li Li 0062
Person information
- affiliation: Institute of Next Generation of Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- affiliation (former): Stanford University School of Medicine, Department of Pediatrics, CA, USA
Other persons with the same name
- Li Li — disambiguation page
- Li Li 0001 — FutureWei Technologies (and 1 more)
- Li Erran Li (aka: Li (Erran) Li, Li Li 0002, Erran L. Li) — Bell Labs
- Li Li 0003 — Nanjing University, Institute of VLSI Design, China
- Li Li 0004 — Shenzhen University, School of Management, China
- Li Li 0005 — National University of Defense Technology, School of Computer Science, Changsha, China
- Li Li 0006 — Southwest University, School of Computer and Information Science, Chongqing, China (and 2 more)
- Li Li 0008 — Tongji University, College of Electrical and Information Engineering, Shanghai, China (and 1 more)
- Li Li 0009 — Communications Research Centre Canada (CRC)
- Li Li 0010 — Beijing Information Science & Technology University, China (and 1 more)
- Li Li 0011 — Southwest Jiaotong University, Provincial Key Laboratory of Information Coding and Transmission, Chengdu, China (and 1 more)
- Li Li 0012 — Shanghai Jiao Tong University, China
- Li Li 0013 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Li Li 0014 — Hangzhou Dianzi University, School of Computer Science and Technology, China (and 1 more)
- Li Li 0015 — Harbin Institute of Technology, Shenzhen Graduate School, School of Computer Science and Technology, Key Laboratory of Network Oriented Intelligent Computation, China
- Li Li 0016 — US Naval Research Laboratory
- Li Li 0017 — Institute of Remote Sensing Applications, CAS
- Li Li 0018 — Oakland University, Department of Mathematics and Statistics, Rochester, MI, USA (and 3 more)
- Li Li 0019 — University of Alabama
- Li Li 0020 — University of Oregon, Eugene
- Li Li 0021 — Northwestern University
- Li Li 0022 — Shenyang Normal University, College of Maths and Systematic Science, China (and 1 more)
- Li Li 0023 — TU Kaiserslautern, Renesas Electronics Europe
- Li Li 0024 — University of Science and Technology, Beijing
- Li Li 0025 — University of Bristol
- Li Li 0026 — Department of Psychology, HKU
- Li Li 0027 — TU Braunschweig
- Li Li 0028 — University of Strathclyde
- Li Li 0029 — Beihang University, Department of Software Engineering, Beijing, China (and 3 more)
- Li Li 0030 — University of New Mexico, Department of Mathematics and Statistics, Albuquerque, NM, USA (and 1 more)
- Li Li 0031 — University of Technology Sydney, School of Electrical, Mechanical and Mechatronic Systems, NSW, Australia (and 1 more)
- Li Li 0032 — Harbin Institute of Technology, Department of Mathematics, China (and 1 more)
- Li Li 0033 — Wuhan University of Science and Technology, School of Computer Science, Wuhan, China (and 1 more)
- Li Li 0034 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Li Li 0035 — Samsung Electronics America, Mountain view, CA, USA (and 1 more)
- Li Li 0036 — Henan Institute of Engineering, Department of Computer Science and Engineering, Zhengzhou, China
- Li Li 0037 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Li Li 0038 — Fudan University, State Key Laboratory of ASIC and System, Shanghai, China
- Li Li 0039 — Anhui University, Ministry of Education, Key Laboratory of Intelligent Computing and Signal Processing, China (and 2 more)
- Li Li 0040 — University of Missouri-Kansas City, School of Computing and Engineering, MO, USA (and 1 more)
- Li Li 0041 — Shanghai University of Political Science and Law, China
- Li Li 0042 — Duke University, Durham, NC, USA
- Li Li 0043 — Xidian University, School of Aerospace Science and Technology, China (and 1 more)
- Li Li 0044 — National University of Singapore, School of Computing, Singapore
- Li Li 0045 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Li Li 0046 — Jiangnan University, School of Science, Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Wuxi, China (and 1 more)
- Li Li 0047 — Wuhan University, School of Remote Sensing and Information Engineering, Computer Vision and Remote Sensing Lab, China
- Li Li 0048 — University of Electronic Science and Technology of China, School of Resources and Environment, Chengdu, China
- Li Li 0049 — Southeast University, School of Architecture, Laboratory of Architectural Algorithm and Application, Nanjing, China (and 1 more)
- Li Li 0050 — Yanshan University, School of Electrical Engineering, Qinhuangdao, China (and 1 more)
- Li Li 0051 — Xidian University, College of Communication Engineering, Xi'an, China (and 1 more)
- Li Li 0052 — Donghua University, College of Textiles, Shanghai, China
- Li Li 0053 — Wuhan University, International School of Software, China
- Li Li 0054 — Dalian University, College of Information Engineering, China (and 2 more)
- Li Li 0055 — Shenzhen Institute of Information Technology, China
- Li Li 0056 — Shanxi University, Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, China
- Li Li 0057 — Huazhong Agricultural University, Hubei Key Laboratory of Agricultural Bioinformatics, Wuhan, China
- Li Li 0058 — JIKAN Research Institute of Engineering Investigations and Design, Co., Ltd., Xi'an, China
- Li Li 0059 — China Agricultural University, College of Land Science and Technology, Beijing, China (and 1 more)
- Li Li 0060 — Google AI, Mountain View, CA, USA
- Li Li 0061 — Joint Center for Global Change Studies (JCGCS), Beijing, China (and 4 more)
- Li Li 0063 — University of Tsukuba, Graduate School of Systems and Information Engineering, Japan
- Li Li 0064 — University of Macau, Macau (and 2 more)
- Li Li 0065 — Bath Spa University, Bath Business School, UK (and 2 more)
- Li Li 0066 — Georgia Southern University, Statesboro, GA, USA (and 2 more)
- Li Li 0067 — Sun Yat-Sen University, Lingnan College, Guangzhou, China
- Li Li 0068 — Harbin Institute of Technology, School of Astronautics, Key Laboratory of Ultra-Precision Intelligent Instrumentation / Center of Ultra-Precision Optoelectronic Instrument Engineering, China
- Li Li 0069 — Wuhan University, School of Electronic Information, China
- Li Li 0070 — Beijing Institute of Technology, MOE Key Laboratory of Optoelectronic Imaging Technology and Systems, China
- Li Li 0071 — Bohai University, College of Mathematics and Physics, Jinzhou, China (and 1 more)
- Li Li 0072 — Central South University, School of Information Science and Engineering, Changsha, China
- Li Li 0073 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
- Li Li 0074 — Shenzhen University, College of Mathematics and Statistics, China (and 1 more)
- Li Li 0075 — China Medical University, First Affiliated Hospital, Shenyang, China
- Li Li 0076 — Ocean University of China, College of Information Science and Engineering, Qingdao, China (and 1 more)
- Li Li 0077 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Li Li 0078 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Li Li 0079 — Capital Medical University, Beijing Children's Hospital, Department of Ophthalmology, China (and 1 more)
- Li Li 0080 — Central South University, Changsha, China
- Li Li 0081 — Southwest University, College of Engineering and Technology, Chongqing, China (and 1 more)
- Li Li 0082 — New York University, Department of Civil and Urban Engineering, Brooklyn, NY, USA (and 1 more)
- Li Li 0083 — University of Melbourne, Department of Computing and Information Systems, VIC, Australia
- Li Li 0084 — Woosuk University, College of Sports Science, Jeonju, South Korea
- Li Li 0085 — Tianjin Normal University, College of Computer and Information Engineering, China
- Li Li 0086 — Chang'an University, School of Electronics and Control Engineering, Xi'an, China
- Li Li 0087 — George Washington University, Washington, DC, USA
- Li Li 0088 — Southwest University of Science and Technology, College of Computer Science and Technology, Mianyang, China (and 1 more)
- Li Li 0089 — Suzhou University of Science and Technology, Research Center of Beidou Navigation and Remote Sensing, Suzhou, China (and 1 more)
- Li Li 0090 — Nanjing University of Science and Technology, School of Economics and Management, China
- Li Li 0091 — National University of Singapore, Singapore
- Li Li 0092 — Durham University, Department of Computer Science, UK
- Li Li 0093 — Tongji University, Department of Medical Genetics, Shanghai, China
- Li Li 0094 — Wuhan Textile University, School of Computer Science and Artificial Intelligence, China (and 2 more)
- Li Li 0095 — Chongqing University of Posts and Telecommunications, School of Communications and Information Engineering, China
- Li Li 0096 — Harbin Institute of Technology, College of New Energy, Weihai, China
- Li Li 0097 — University of Electronic Science and Technology of China, National Key Laboratory of Wireless Communications, Chengdu, China
- Li Li 0098 — Shandong Agricultural University, School of Economics and Management, Taian, China (and 1 more)
- Li Li 0099 — Chongqing University of Technology, College of Artificial Intelligence, China
- Li Li 0100 — PLA Strategic Support Force Information Engineering University, School of Geospatial Information, Zhengzhou, China
- Li Li 0101 — Syracuse University, NY, USA (and 1 more)
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2020 – today
- 2022
- [j12]Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li:
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records. J. Am. Medical Informatics Assoc. 29(2): 296-305 (2022) - [j11]Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Yu-Han Kao, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li:
A comprehensive digital phenotype for postpartum hemorrhage. J. Am. Medical Informatics Assoc. 29(2): 321-328 (2022) - [j10]Sarah M. Goodday, E. Karlin, A. Brooks, C. Chapman, Daniel R. Karlin, Luca Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, Eric E. Schadt, Marzyeh Ghassemi, Anna Goldenberg, Francesca Cormack, Nick Taptiklis, Corey Centen, S. Smith, Stephen H. Friend:
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. npj Digit. Medicine 5 (2022) - [j9]Shilong Li, Zichen Wang, Luciana Vieira, Amanda B. Zheutlin, Boshu Ru, Emilio Schadt, Pei Wang, Alan B. Copperman, Joanne Stone, Susan Gross, Yu-Han Kao, Yan Kwan Lau, Siobhan M. Dolan, Eric E. Schadt, Li Li:
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data. npj Digit. Medicine 5 (2022) - 2020
- [c9]Maxence Vandromme, Tomi Jun, Ponni Perumalswami, Joel T. Dudley, Andrea Branch, Li Li:
Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes. PSB 2020: 91-102
2010 – 2019
- 2019
- [j8]Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A. Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte:
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35(21): 4515-4518 (2019) - 2018
- [j7]Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean D. Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti:
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25(3): 275-288 (2018) - [j6]Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia H. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley:
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics Decis. Mak. 18(S-3): 79:1-79:11 (2018) - [c8]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora:
Automatic processing of Electronic Medical Records using Deep Learning. PervasiveHealth 2018: 251-257 - [c7]Milo R. Smith, Benjamin S. Glicksberg, Li Li, Rong Chen, Hirofumi Morishita, Joel T. Dudley:
Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders. PSB 2018: 68-79 - [c6]Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley:
Automated disease cohort selection using word embeddings from Electronic Health Records. PSB 2018: 145-156 - [i1]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora:
Processing of Electronic Health Records using Deep Learning: A review. CoRR abs/1804.01758 (2018) - 2017
- [j5]Zichen Wang, Li Li, Benjamin S. Glicksberg, Ariel Israel, Joel T. Dudley, Avi Ma'ayan:
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age. J. Biomed. Informatics 76: 59-68 (2017) - [c5]Matteo Danieletto, Li Li, Joel T. Dudley:
Application of I-COMO device towards geographic disease enrichment pattern revealed from electronic medical record at a large Urban academic medical center. PervasiveHealth 2017: 282-287 - [c4]Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia H. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley:
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB 2017: 276-287 - 2016
- [j4]Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley:
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. Bioinform. 32(12): 101-110 (2016) - [c3]Riccardo Miotto, Li Li, Joel T. Dudley:
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. ECIR 2016: 768-774 - 2015
- [c2]Benjamin S. Glicksberg, Li Li, Wei-Yi Cheng, Khader Shameer, Jörg Hakenberg, Rafael Castellanos, Meng Ma, Lisong Shi, Hardik Shah, Joel T. Dudley, Rong Chen:
An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships. Pacific Symposium on Biocomputing 2015: 407-418 - 2013
- [c1]Li Li, David Ruau, Rong Chen, Susan C. Weber, Atul J. Butte:
Systematic Identification of Risk Factors for Alzheimer's Disease Through Shared Genetic Architecture and Electronic Medical Records. Pacific Symposium on Biocomputing 2013: 224-235 - 2010
- [j3]Rong Chen, Tara K. Sigdel, Li Li, Neeraja Kambham, Joel Dudley, Szu-chuan Hsieh, R. Bryan Klassen, Amery Chen, Tuyen Caohuu, Alexander A. Morgan, Hannah A. Valantine, Kiran K. Khush, Minnie M. Sarwal, Atul J. Butte:
Differentially Expressed RNA from Public Microarray Data Identifies Serum Protein Biomarkers for Cross-Organ Transplant Rejection and Other Conditions. PLoS Comput. Biol. 6(9) (2010)
2000 – 2009
- 2009
- [j2]Frances P. Morrison, Li Li, Albert M. Lai, George Hripcsak:
Viewpoint Paper: Repurposing the Clinical Record: Can an Existing Natural Language Processing System De-identify Clinical Notes? J. Am. Medical Informatics Assoc. 16(1): 37-39 (2009) - [j1]George Hripcsak, Nicholas D. Soulakis, Li Li, Frances P. Morrison, Albert M. Lai, Carol Friedman, Neil S. Calman, Farzad Mostashari:
Research Paper: Syndromic Surveillance Using Ambulatory Electronic Health Records. J. Am. Medical Informatics Assoc. 16(3): 354-361 (2009)
Coauthor Index
aka: Joel T. Dudley
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