Luca Foschini

Health ProfessionsPsychologyMedicineMathematics

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies”.

Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00219-x

N/A

1.2DataRank · unranked

22 citations

Iredia M. Olaye, Md Mobashir Hasan Shandhi, Eric J. Daza, Luca Foschini, Jessilyn Dunn +1 more

Machine learning COVID-19 detection from wearables

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00045-6

N/A

0.434DataRank · unranked

17 citations

Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B. Inglis, Allison Shapiro +5 more

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

medRxiv(2021)10.1101/2021.10.20.21265298

N/A

0.165DataRank · unranked

2 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

Digital Biomarkers(2023)10.1159/000530413

N/A

0DataRank · unranked

17 citations

Nele Peerenboom, Dana E. Connors, Steven Bourke, Alison Keogh, Katarzyna Wac +32 more

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

PLOS Digital Health(2023)10.1371/journal.pdig.0000208

N/A

0DataRank · unranked

10 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

The NIH just released the Draft 2023-2028 Strategic Plan for Data Science. Here are the Benefits, Gaps and Opportunities

(2024)10.21428/4f83582b.282c1ddc

N/A

0DataRank · unranked

0 citations

Adam Taylor, Anna Greenwood, Jineta Banerjee, Solveig K. Sieberts, Jake Albrecht +3 more

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

npj Digital Medicine(2020)10.1038/s41746-020-0254-2

N/A

0DataRank · unranked

329 citations

Karlie R. Sharma, Luca Foschini, Shinjini Kundu, Maxine Mackintosh, Kenneth D. Mandl +10 more

Optimizing COVID-19 testing resources use with wearable sensors

PLOS Digital Health(2024)10.1371/journal.pdig.0000584

N/A

0DataRank · unranked

0 citations

Arinbjörn Kolbeinsson, Jennifer M. Radin, Luca Foschini, Jay Pandit, Giorgio Quer

Reproducibility in machine learning for health research: Still a ways to go

Science Translational Medicine(2021)10.1126/scitranslmed.abb1655

N/A

0DataRank · unranked

266 citations

Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Luca Foschini, Marzyeh Ghassemi +1 more

Dear Watch, Should I Get a COVID-19 Test? Designing deployable machine learning for wearables

medRxiv(2021)10.1101/2021.05.11.21257052

N/A

0DataRank · unranked

7 citations

Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B. Inglis, Allison Shapiro +5 more