Matthew A Levin (Matthew Levin)

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Venues

Journal of clinical medicine

NPJ digital medicine

Life (Basel, Switzerland)

Bioengineering (Basel, Switzerland)

Icahn School of Medicine at Mount Sinai

Massachusetts Institute of Technology (BSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Icahn School of Medicine at Mount Sinai Jul 01 2013

United States

Associate Professor :: Anesthesiology, Perioperative and Pain Medicine

Education History

Massachusetts Institute of Technology

United States

BSC

Publications

Pranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, Prathamesh Parchure, Ganesh Raut, David L Reich, Robert M Freeman, Matthew A Levin, Prem Timsina, Charles A Powell, Zahi A Fayad, Arash Kia
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation. Bioengineering (Basel, Switzerland) 11 (6) (2024)
Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein, Benjamin Scott Glicksberg, Ganesh Raut, Satya Narayana Cheetirala, Fabio Santana, Jules Tamegue, Arash Kia, Eyal Zimlichman, Matthew A Levin, Robert M Freeman, Eyal Klang
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management. JMIR AI 3 (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Pranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, Prathamesh Parchure, Ganesh Raut, David L Reich, Robert M Freeman, Matthew A Levin, Prem Timsina, Charles A Powell, Zahi A Fayad, Arash Kia
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation. Bioengineering (Basel, Switzerland) 11 (6) (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Girish Nitin Nadkarni, Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Diane Del Valle, Ryan C Thompson, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Arvind Kumar, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. Research square (2023)
Hung-Mo Lin, Sean T H Liu, Matthew A Levin, John Williamson, Nicole M Bouvier, Judith A Aberg, David Reich, Natalia Egorova
Informative Censoring-A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data. Life (Basel, Switzerland) 13 (1) (2023)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Hung-Mo Lin, Sean T H Liu, Matthew A Levin, John Williamson, Nicole M Bouvier, Judith A Aberg, David Reich, Natalia Egorova
Informative Censoring-A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data. Life (Basel, Switzerland) 13 (1) (2023)
Hung-Mo Lin, Sean T H Liu, Matthew A Levin, John Williamson, Nicole M Bouvier, Judith A Aberg, David Reich, Natalia Egorova
Informative Censoring-A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data. Life (Basel, Switzerland) 13 (1) (2023)
Kim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati, Satya Narayana Cheetirala, Prem Timsina, Robert M Freeman, David L Reich, Matthew A Levin, Madhu Mazumdar, Zahi Adel Fayad, Arash Kia
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation. JMIR formative research 7 (2023)
Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan C Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Justin Kauffman, Arvind Kumar, Manish Paranjpe, Ross O Hagan, Samir Kamat, Faris F Gulamali, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven G Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney, Girish Nitin Nadkarni
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection. Communications medicine 3 (1) (2023)
Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan C Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Arvind Kumar, Edgar G Kozlova, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris F Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven G Coca, Lili Chan, Evren U Azeloglu, Eric Schadt, Noam Beckmann, Sacha Gnjatic, Miram Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney, Girish Nitin Nadkarni
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. medRxiv : the preprint server for health sciences (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Sulaiman S Somani, Hossein Honarvar, Sukrit Narula, Isotta Landi, Shawn Lee, Yeraz Khachatoorian, Arsalan Rehmani, Andrew Kim, Jessica K De Freitas, Shelly Teng, Suraj K Jaladanki, Arvind Kumar, Adam J Russak, Shan P Zhao, Robert Freeman, Matthew A Levin, Girish N Nadkarni, Alexander C Kagen, Edgar Argulian, Benjamin Scott Glicksberg
Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening. European heart journal. Digital health 3 (1) (2021)
Eyal Klang, Robert M Freeman, Matthew A Levin, Shelly Soffer, Yiftach Barash, Adi Lahat
Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department-A Proof of Concept Study. Diagnostics (Basel, Switzerland) 11 (11) (2021)
Robert P Hirten, Matteo Danieletto, Lewis E Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye A Golden, Sparshdeep Kaur, Drew S Helmus, Anthony Biello, Renata Pyzik, Alexander W Charney, Riccardo Miotto, Benjamin Scott Glicksberg, Matthew A Levin, Ismail Nabeel, Judith A Aberg, David L Reich, Dennis S Charney, Erwin P Böttinger, Laurie Keefer, Mayte Suárez-Fariñas, Girish Nitin Nadkarni, Zahi Adel Fayad
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. Journal of medical Internet research 23 (2) (2021)
Ishan Paranjpe, Kumardeep Chaudhary, Kipp W Johnson, Suraj K Jaladanki, Shan P Zhao, Jessica K De Freitas, Elisabet Pujadas, Fayzan F Chaudhry, Erwin P Böttinger, Matthew A Levin, Zahi Adel Fayad, Alexander W Charney, Jane Houldsworth, Carlos Cordon-Cardo, Benjamin Scott Glicksberg, Girish Nitin Nadkarni
Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study. PloS one 16 (2) (2021)
Stephane Wenric, Janina M Jeff, Thomas Joseph, Muh-Ching Yee, Gillian M Belbin, Aniwaa Owusu Obeng, Stephen B Ellis, Erwin P Bottinger, Omri Gottesman, Matthew A Levin, Eimear E Kenny
Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry. The pharmacogenomics journal 21 (2) (2020)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)
Arash Kia, Prem Timsina, Himanshu N Joshi, Eyal Klang, Rohit R Gupta, Robert M Freeman, David L Reich, Max S Tomlinson, Joel T Dudley, Roopa Kohli-Seth, Madhu Mazumdar, Matthew A Levin
MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model. Journal of clinical medicine 9 (2) (2020)
Sulaiman S Somani, Felix Richter, Valentin Fuster, Jessica De Freitas, Nidhi Naik, Keith Sigel, Erwin P Boettinger, Matthew A Levin, Zahi Fayad, Allan C Just, Alexander Charney, Shan Zhao, Benjamin S Glicksberg, Anuradha Lala, Girish Nadkarni
Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization For COVID-19. medRxiv : the preprint server for health sciences (2020)
Fu-Yuan Cheng, Himanshu N Joshi, Pranai Tandon, Robert Freeman, David L Reich, Madhu Mazumdar, Roopa Kohli-Seth, Matthew A Levin, Prem Timsina, Arash Kia
Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients. Journal of clinical medicine 9 (6) (2020)
Sean T H Liu, Hung-Mo Lin, Ian Baine, Ania Wajnberg, Jeffrey P Gumprecht, Farah Rahman, Denise Rodriguez, Pranai Tandon, Adel Bassily-Marcus, Jeffrey Bander, Charles Sanky, Amy Dupper, Allen Zheng, Freddy T Nguyen, Fatima Amanat, Daniel Stadlbauer, Deena R Altman, Benjamin K Chen, Florian Krammer, Damodara Rao Mendu, Adolfo Firpo-Betancourt, Matthew A Levin, Emilia Bagiella, Arturo Casadevall, Carlos Cordon-Cardo, Jeffrey S Jhang, Suzanne A Arinsburg, David L Reich, Judith A Aberg, Nicole M Bouvier
Convalescent plasma treatment of severe COVID-19: a propensity score-matched control study. Nature medicine 26 (11) (2020)
Matthew A Levin, Hung-Mo Lin, Gautham Prabhakar, Patrick J McCormick, Natalia N Egorova
Alive or dead: Validity of the Social Security Administration Death Master File after 2011. Health services research 54 (1) (2018)

Matthew A Levin.css-eqlu8i{font-size:small;padding-left:4px;} (Matthew Levin)

Publication Activity (10 Years)

Top Topics

Top Venues

Matthew A Levin (Matthew Levin)