Leid Zejnilovic, Ph.D.
Leid Zejnilovic, Ph.D.
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Cited by
Cited by
Innovation by patients with rare diseases and chronic needs
P Oliveira, L Zejnilovic, H Canhão, E von Hippel
Orphanet journal of rare diseases 10, 1-9, 2015
Servitization in the automotive industry: How car manufacturers become mobility service providers
F Genzlinger, L Zejnilovic, OF Bustinza
Strategic Change 29 (2), 215-226, 2020
A hybrid recommender system for patient-doctor matchmaking in primary care
Q Han, M Ji, IMDR De Troya, M Gaur, L Zejnilovic
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
Innovations by and for patients, and their place in the future health care system
L Zejnilović, P Oliveira, H Canhão
Boundaryless Hospital: Rethink and Redefine Health Care Management, 341-357, 2016
Employees as user innovators: An empirical investigation of an idea management system
L Zejnilovic, P Oliveira, FM Veloso
Available at SSRN 2083422, 2012
Patient innovation under rare diseases and chronic needs
P Oliveira, L Zejnilovic, H Canhão, E von Hippel
Orphanet Journal of Rare Diseases 9, 1-1, 2014
Peer-adoption and development of health innovations by patients – a national representative study of 6204 citizens
P Oliveira, L Zejnilovic, S Azevedo, A Rodrigues, H Canhão
Journal of Medical Internet Research, 2018
A collaborative filtering recommender system in primary care: Towards a trusting patient-doctor relationship
Q Han, IMDR De Troya, M Ji, M Gaur, L Zejnilovic
2018 IEEE International Conference on Healthcare Informatics (ICHI), 377-379, 2018
Challenges and opportunities in developing and sharing solutions by patients and caregivers: the story of a knowledge commons for the patient innovation project
P Oliveira, L Zejnilović, H Canhao
Governing medical knowledge commons 301, 2017
Proactive advising: a machine learning driven approach to vaccine hesitancy
A Bell, A Rich, M Teng, T Orešković, NB Bras, L Mestrinho, S Golubovic, ...
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-6, 2019
Predicting, explaining, and understanding risk of long-term unemployment
IM de Troya, R Chen, LO Moraes, P Bajaj, J Kupersmith, R Ghani, ...
NeurIPS Workshop on AI for Social Good, 2018
Revolutionising healthcare by empowering patients to innovate
H Canhão, L Zejnilovic, P Oliveira
EMJ Innov 1, 31-4, 2017
Unlocking innovation in healthcare: the case of the patient innovation platform
C Cennamo, P Oliveira, L Zejnilovic
California Management Review 64 (4), 47-77, 2022
Toward travel pattern aware tourism region planning: a big data approach
Q Han, M Abreu Novais, L Zejnilovic
International Journal of Contemporary Hospitality Management 33 (6), 2157-2175, 2021
Algorithmic long-term unemployment risk assessment in use: Counselors’ perceptions and use practices
L Zejnilović, S Lavado, Í Martínez de Rituerto de Troya, S Sim, A Bell
Global Perspectives 1 (1), 12908, 2020
Patient innovation—Empowering patients, sharing solutions, improving lives
H Canhão, P Oliveira, L Zejnilovic
NEJM Catalyst 3 (5), 2017
Íñigo Martínez de Rituerto de Troya, Samantha Sim, and Andrew Bell. 2020. Algorithmic Long-Term Unemployment Risk Assessment in Use: Counselors’ Perceptions and Use Practices …
L Zejnilović, S Lavado
Explainability's gain is optimality's loss? how explanations bias decision-making
C Wan, R Belo, L Zejnilovic
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 778-787, 2022
Íñigo Martínez De Rituerto De Troya, Andrew Bell, and Rayid Ghani. 2021
L Zejnilovic, S Lavado, C Soares
Machine Learning Informed Decision-Making with Interpreted Model’s Outputs …, 0
Improvisation and bricolage: Similarities and differences between two approaches to resource scarcity 1
RC da Silva, L Zejnilovic, P Oliveira
The Routledge companion to improvisation in organizations, 29-49, 2023
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