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Matteo Danieletto
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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
1772020
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
1382020
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
1272020
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
1112021
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
582010
Reflecting health: smart mirrors for personalized medicine
R Miotto, M Danieletto, JR Scelza, BA Kidd, JT Dudley
NPJ digital medicine 1 (1), 62, 2018
422018
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
362021
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
342020
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
292021
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
282020
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
242020
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
242019
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
242010
RAZOR: A compression and classification solution for the internet of things
M Danieletto, N Bui, M Zorzi
Sensors 14 (1), 68-94, 2013
232013
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
222021
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
202020
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
202014
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
182019
Acute kidney injury in hospitalized patients with COVID-19
L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, M Baweja, ...
172020
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
152016
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학술자료 1–20