Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening.

Autor: Somani SS; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Honarvar H; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Narula S; Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 20 Copeland Ave, Hamilton, ON L8L 2X2, Canada., Landi I; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Lee S; Department of Cardiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Khachatoorian Y; Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Rehmani A; Department of Cardiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Kim A; Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., De Freitas JK; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Teng S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Jaladanki S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Kumar A; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Russak A; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Zhao SP; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Freeman R; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Levin MA; Department of Anesthesiology, Perioperative, and Pain Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Nadkarni GN; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA., Kagen AC; Department of Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Argulian E; Department of Cardiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA., Glicksberg BS; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2021 Nov 25; Vol. 3 (1), pp. 56-66. Date of Electronic Publication: 2021 Nov 25 (Print Publication: 2022).

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.

Autor: De Freitas JK; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Johnson KW; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Golden E; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Nadkarni GN; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Dudley JT; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Bottinger EP; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Digital Health Center at Hasso Plattner Institute, University of Potsdam, Professor-Dr.-Helmert-Str 2-3, 14482 Potsdam, Germany., Glicksberg BS; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA., Miotto R; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.

Publikováno v: Patterns (New York, N.Y.) [Patterns (N Y)] 2021 Sep 02; Vol. 2 (9), pp. 100337. Date of Electronic Publication: 2021 Sep 02 (Print Publication: 2021).

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.

Autor: Wanyan T; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA, and the School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47405 USA , and also with the School of Information, University of Texas at Austin, Austin, TX 78712 USA., Vaid A; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA., De Freitas JK; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA, and also with the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA., Somani S; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA., Miotto R; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA, and also with the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA., Nadkarni GN; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA, and also with the Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA., Azad A; School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47405 USA., Ding Y; School of Information, University of Texas at Austin, Austin, TX 78712 USA, and also with the Dell Medical School, University of Texas at Austin, Austin, TX 78712 USA., Glicksberg BS; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA, and also with the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.

Publikováno v: IEEE transactions on big data [IEEE Trans Big Data] 2021 Mar; Vol. 7 (1), pp. 38-44. Date of Electronic Publication: 2020 Dec 31.

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.

Autor: Vaid A; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Jaladanki SK; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Xu J; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States., Teng S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Kumar A; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Lee S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Somani S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Paranjpe I; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., De Freitas JK; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Wanyan T; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; Intelligent System Engineering, Indiana University, Bloomington, IN, United States.; School of Information, University of Texas Austin, Austin, TX, United States., Johnson KW; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States., Bicak M; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Klang E; Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Kwon YJ; Department of Neurological Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Costa A; Department of Neurological Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Zhao S; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Miotto R; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Charney AW; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Böttinger E; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany., Fayad ZA; The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Nadkarni GN; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Wang F; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States., Glicksberg BS; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; The Mount Sinai Clinical Intelligence Center, New York, NY, United States.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Publikováno v: JMIR medical informatics [JMIR Med Inform] 2021 Jan 27; Vol. 9 (1), pp. e24207. Date of Electronic Publication: 2021 Jan 27.

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.

Autor: Paranjpe I; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA iparanjpe@berkeley.edu., Russak AJ; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA., De Freitas JK; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Lala A; The Zena and Michael A. Wiener Cardiovascular Institute, New York, New York, USA.; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Miotto R; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Vaid A; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Johnson KW; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Danieletto M; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Golden E; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Meyer D; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Singh M; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Somani S; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Kapoor A; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., O'Hagan R; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Manna S; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Nangia U; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Jaladanki SK; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., O'Reilly P; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Huckins LM; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Glowe P; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Kia A; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Timsina P; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Freeman RM; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Levin MA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Jhang J; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Firpo A; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Kovatch P; Mount Sinai Data Warehouse, Mount Sinai Health System, New York, New York, USA., Finkelstein J; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Aberg JA; Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA., Bagiella E; The Zena and Michael A. Wiener Cardiovascular Institute, New York, New York, USA.; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Horowitz CR; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA., Murphy B; Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA., Fayad ZA; Icahn School of Medicine at Mount Sinai BioMedical Engineering and Imaging Institute, New York, New York, USA.; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Narula J; Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA.; Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Nestler EJ; Icahn School of Medicine at Mount Sinai Friedman Brain Institute, New York, New York, USA.; The Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Fuster V; Department of Medicine, Division of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Cordon-Cardo C; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Charney D; Icahn School of Medicine at Mount Sinai Department of Psychiatry, New York, New York, USA.; The Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Reich DL; Icahn School of Medicine at Mount Sinai Department of Anesthesiology Perioperative and Pain Medicine, New York, New York, USA., Just A; Icahn School of Medicine at Mount Sinai Department of Environmental Medicine and Public Health, New York, New York, USA.; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Bottinger EP; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA., Charney AW; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Glicksberg BS; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Nadkarni GN; The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA.; Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA.; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Publikováno v: BMJ open [BMJ Open] 2020 Nov 27; Vol. 10 (11), pp. e040736. Date of Electronic Publication: 2020 Nov 27.