| 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 | 165 | 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 | 125 | 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 | 123 | 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 | 104 | 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 | 56 | 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 | 40 | 2018 |
| 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 | 32 | 2020 |
| 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 | 29 | 2021 |
| 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 |
| 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 | 25 | 2021 |
| 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 | 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 |
| Factors associated with longitudinal psychological and physiological stress in health care workers during the COVID-19 pandemic: observational study using apple watch data RP Hirten, M Danieletto, L Tomalin, KH Choi, M Zweig, E Golden, S Kaur, ... Journal of medical Internet research 23 (9), e31295, 2021 | 20 | 2021 |
| 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 | 20 | 2014 |
| Sleep in the natural environment: a pilot study FF Chaudhry, M Danieletto, E Golden, J Scelza, G Botwin, M Shervey, ... Sensors 20 (5), 1378, 2020 | 19 | 2020 |
| 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 | 19 | 2019 |
| 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 | 17 | 2019 |
| Acute kidney injury in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, M Baweja, ... | 15 | 2020 |
| 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 |
