William Klement
William Klement
Ottawa Hospital Research Institute, University of Ottawa
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Cited by
Cited by
A machine learning approach predicts future risk to suicidal ideation from social media data
A Roy, K Nikolitch, R McGinn, S Jinah, W Klement, ZA Kaminsky
NPJ digital medicine 3 (1), 1-12, 2020
Exploiting the systematic review protocol for classification of medical abstracts
O Frunza, D Inkpen, S Matwin, W Klement, P O’blenis
Artificial intelligence in medicine 51 (1), 17-25, 2011
Towards donor lung recovery—gene expression changes during ex vivo lung perfusion of human lungs
JC Yeung, R Zamel, W Klement, XH Bai, TN Machuca, TK Waddell, M Liu, ...
American Journal of Transplantation 18 (6), 1518-1526, 2018
An integrated approach identifies mediators of local recurrence in head and neck squamous carcinoma
F Citron, J Armenia, G Franchin, J Polesel, R Talamini, S D'Andrea, ...
Clinical Cancer Research 23 (14), 3769-3780, 2017
The impact of first untreated subclinical minimal acute rejection on risk for chronic lung allograft dysfunction or death after lung transplantation
L Levy, E Huszti, J Tikkanen, R Ghany, W Klement, M Ahmed, S Husain, ...
American Journal of Transplantation 20 (1), 241-249, 2020
Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers
W Klement, S Wilk, W Michalowski, KJ Farion, MH Osmond, V Verter
Artificial intelligence in medicine 54 (3), 163-170, 2012
Matchmaker, matchmaker make me a match: Opportunities and challenges in optimizing compatibility of HLA eplets in transplantation
W Lemieux, H Mohammadhassanzadeh, W Klement, C Daniel, ...
International journal of immunogenetics 48 (2), 135-144, 2021
On path to informing hierarchy of eplet mismatches as determinants of kidney transplant loss
H Mohammadhassanzadeh, K Oualkacha, W Zhang, W Klement, ...
Kidney International Reports 6 (6), 1567-1579, 2021
Classifying severely imbalanced data
W Klement, S Wilk, W Michalowski, S Matwin
Advances in Artificial Intelligence: 24th Canadian Conference on Artificial …, 2011
Dealing with severely imbalanced data
W Klement, S Wilk, W Michaowski, S Matwin
Proceedings of the PAKDD Conference, 14, 2009
Eosinophils in transbronchial biopsies: a predictor of chronic lung allograft dysfunction and reduced survival after lung transplantation—a retrospective single‐center cohort …
DR Darley, J Ma, E Huszti, P Fiset, L Levy, DM Hwang, P Pal, W Klement, ...
Transplant International 34 (1), 62-75, 2021
Donor human leukocyte antigen-G single nucleotide polymorphisms are associated with post-lung transplant mortality
J Lazarte, J Ma, T Martinu, L Levy, W Klement, M White, J Pelling, Z Guan, ...
European Respiratory Journal 54 (2), 2019
Identifying host microRNAs in bronchoalveolar lavage samples from lung transplant recipients infected with Aspergillus
W Gohir, W Klement, LG Singer, SM Palmer, T Mazzulli, S Keshavjee, ...
The Journal of Heart and Lung Transplantation 39 (11), 1228-1237, 2020
Consolidated reporting guidelines for prognostic and diagnostic machine learning modeling studies: development and validation
W Klement, K El Emam
Journal of Medical Internet Research 25, e48763, 2023
A framework for implementing machine learning in healthcare based on the concepts of preconditions and postconditions
C MacKay, W Klement, P Vanberkel, N Lamond, R Urquhart, M Rigby
Healthcare Analytics 3, 100155, 2023
A machine learning approach predicts future risk to suicidal ideation from social media data. Npj Digital Medicine, 3 (78)
A Roy, K Nikolitch, R McGinn, S Jinah, W Klement, ZA Kaminsky
Potential role of CC chemokine receptor 6 in prediction of late‐onset cytomegalovirus infection following solid organ transplant
JF Camargo, MR Resende, R Zamel, W Klement, A Bhimji, S Huibner, ...
Clinical transplantation 29 (6), 492-498, 2015
A machine learning approach predicts future risk to suicidal ideation from social media data. npj Digit. Med. 3, 78 (2020)
A Roy, K Nikolitch, R McGinn, S Jinah, W Klement, ZA Kaminsky
Dissecting the impact of molecular T-cell HLA mismatches in kidney transplant failure: A retrospective cohort study
W Lemieux, D Fleischer, AY Yang, M Niemann, K Oualkacha, W Klement, ...
Frontiers in Immunology 13, 1067075, 2022
Smooth Receiver Operating Characteristics (smROC) Curves
W Klement, P Flach, N Japkowicz, S Matwin
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
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