| Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of medical Internet research 22 (11), e24018, 2020 | 126 | 2020 |
| Clinical characteristics of hospitalized Covid-19 patients in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... MedRxiv, 2020.04. 19.20062117, 2020 | 115 | 2020 |
| Acute kidney injury in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, M Baweja, ... MedRxiv, 2020.05. 04.20090944, 2020 | 105 | 2020 |
| Deep representation learning of electronic health records to unlock patient stratification at scale I Landi, BS Glicksberg, HC Lee, S Cherng, G Landi, M Danieletto, ... NPJ digital medicine 3 (1), 96, 2020 | 80 | 2020 |
| Use of physiological data from a wearable device to identify SARS-CoV-2 infection and symptoms and predict COVID-19 diagnosis: observational study RP Hirten, M Danieletto, L Tomalin, KH Choi, M Zweig, E Golden, S Kaur, ... Journal of medical Internet research 23 (2), e26107, 2021 | 70 | 2021 |
| Anti-spoofing and open GNSS signal authentication with signal authentication sequences O Pozzobon, L Canzian, M Danieletto, A Dalla Chiara 2010 5th ESA Workshop on Satellite Navigation Technologies and European …, 2010 | 49 | 2010 |
| Reflecting health: smart mirrors for personalized medicine R Miotto, M Danieletto, JR Scelza, BA Kidd, JT Dudley NPJ digital medicine 1 (1), 62, 2018 | 32 | 2018 |
| Machine learning to predict mortality and critical events in covid-19 positive new york city patients A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... medRxiv, 2020.04. 26.20073411, 2020 | 27 | 2020 |
| Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... BMJ open 10 (11), e040736, 2020 | 24 | 2020 |
| Autonomous discovery, localization and recognition of smart objects through WSN and image features E Menegatti, M Danieletto, M Mina, A Pretto, A Bardella, S Zanconato, ... 2010 IEEE Globecom Workshops, 1653-1657, 2010 | 24 | 2010 |
| RAZOR: A compression and classification solution for the internet of things M Danieletto, N Bui, M Zorzi Sensors 14 (1), 68-94, 2013 | 23 | 2013 |
| Machine learning to predict mortality and critical events in COVID-19 positive New York city patients: a cohort study A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... J. Med. Internet Res 22 (11), 2020 | 19 | 2020 |
| CARMEN: a cognitive networking testbed on android OS devices M Danieletto, G Quer, RR Rao, M Zorzi IEEE Communications Magazine 52 (9), 98-107, 2014 | 19 | 2014 |
| A resilience-building app to support the mental health of health care workers in the COVID-19 era: design process, distribution, and evaluation EA Golden, M Zweig, M Danieletto, K Landell, G Nadkarni, E Bottinger, ... JMIR Formative Research 5 (5), e26590, 2021 | 18 | 2021 |
| Satellite images and machine learning can identify remote communities to facilitate access to health services PS Emilie Bruzelius, Matthew Le, Avi Kenny, Jordan Downey, Matteo Danieletto ... Journal of the American Medical Informatics Association 26 (8-9), 806-812, 2019 | 16 | 2019 |
| Estimating the number of receiving nodes in 802.11 networks via machine learning techniques D Del Testa, M Danieletto, GM Di Nunzio, M Zorzi 2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016 | 15 | 2016 |
| Longitudinal autonomic nervous system measures correlate with stress and ulcerative colitis disease activity and predict flare RP Hirten, M Danieletto, R Scheel, M Shervey, J Ji, L Hu, J Sauk, L Chang, ... Inflammatory bowel diseases 27 (10), 1576-1584, 2021 | 14 | 2021 |
| Processing of electronic health records using deep learning: a review V Osmani, L Li, M Danieletto, B Glicksberg, J Dudley, O Mayora arXiv preprint arXiv:1804.01758, 2018 | 13 | 2018 |
| Improving internet of things communications through compression and classification M Danieletto, N Bui, M Zorzi 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012 | 13 | 2012 |
| Scaling structural learning with NO-BEARS to infer causal transcriptome networks HC Lee, M Danieletto, R Miotto, ST Cherng, JT Dudley PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 391-402, 2019 | 12 | 2019 |
