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ArticlesPeer ReviewedFull Text
Human bias and CNNs’ superior insights in satellite based poverty mapping
Author / Creator:Sarmadi, Hamid ; Wahab, Ibrahim ; Hall, Ola ; Rögnvaldsson, Thorsteinn ; Ohlsson, Mattias
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-10, Vol.14 (1), p.22878-10, Article 22878
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Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease
Author / Creator:Björkqvist, Maria ; Ohlsson, Mattias ; Minthon, Lennart ; Hansson, Oskar
Publisher:United States: Public Library of Science
Journal title:PloS one, 2012-01, Vol.7 (1), p.e29868
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The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival
Author / Creator:Nilsson, Johan ; Ohlsson, Mattias ; Höglund, Peter ; Ekmehag, Björn ; Koul, Bansi ; Andersson, Bodil
Publisher:United States: Public Library of Science
Journal title:PloS one, 2015-03, Vol.10 (3), p.e0118644
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A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Author / Creator:Heyman, Ellen T. ; Ashfaq, Awais ; Ekelund, Ulf ; Ohlsson, Mattias ; Björk, Jonas ; Khoshnood, Ardavan M. ; Lingman, Markus
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-12, Vol.19 (12), p.e0311081
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Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
Author / Creator:Skarping, Ida ; Ellbrant, Julia ; Dihge, Looket ; Ohlsson, Mattias ; Huss, Linnea ; Bendahl, Pär-Ola ; Rydén, Lisa
Publisher:England: BioMed Central
Journal title:BMC cancer, 2024-01, Vol.24 (1), p.86-14, Article 86
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Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Author / Creator:Dihge, Looket ; Ohlsson, Mattias ; Edén, Patrik ; Bendahl, Pär-Ola ; Rydén, Lisa
Publisher:England: BioMed Central Ltd
Journal title:BMC cancer, 2019-06, Vol.19 (1), p.610-12, Article 610
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Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
Author / Creator:de Capretz, Pontus Olsson ; Björkelund, Anders ; Björk, Jonas ; Ohlsson, Mattias ; Mokhtari, Arash ; Nyström, Axel ; Ekelund, Ulf
Publisher:England: BioMed Central Ltd
Journal title:BMC medical informatics and decision making, 2023-02, Vol.23 (1), p.25-10, Article 25
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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study
Author / Creator:Amirahmadi, Ali ; Etminani, Farzaneh ; Björk, Jonas ; Melander, Olle ; Ohlsson, Mattias
Publisher:Canada: JMIR Publications
Journal title:JMIR medical informatics, 2025-06, Vol.13, p.e68138
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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
Author / Creator:Kalderstam, Jonas ; Edén, Patrik ; Ohlsson, Mattias
Publisher:United States: Public Library of Science
Journal title:PloS one, 2015-09, Vol.10 (9), p.e0137597
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Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions
Author / Creator:Teles, Jose ; Pina, Cristina ; Edén, Patrik ; Ohlsson, Mattias ; Enver, Tariq ; Peterson, Carsten
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2013, Vol.9 (8), p.e1003197
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Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
Author / Creator:Delfani, Payam ; Dexlin Mellby, Linda ; Nordström, Malin ; Holmér, Andreas ; Ohlsson, Mattias ; Borrebaeck, Carl A. K. ; Wingren, Christer
Publisher:United States: Public Library of Science
Journal title:PloS one, 2016-07, Vol.11 (7), p.e0159138-e0159138
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The skåne emergency medicine (SEM) cohort
Author / Creator:Ekelund, Ulf ; Ohlsson, Bodil ; Melander, Olle ; Björk, Jonas ; Ohlsson, Mattias ; Forberg, Jakob Lundager ; de Capretz, Pontus Olsson ; Nyström, Axel ; Björkelund, Anders
Publisher:England: BioMed Central Ltd
Journal title:Scandinavian journal of trauma, resuscitation and emergency medicine, 2024-04, Vol.32 (1), p.37-8, Article 37
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Computer-Assisted Interpretation of Planar Whole-Body Bone Scans
Author / Creator:Sadik, May ; Hamadeh, Iman ; Nordblom, Pierre ; Suurkula, Madis ; Hoglund, Peter ; Ohlsson, Mattias ; Edenbrandt, Lars
Publisher:United States: Soc Nuclear Med
Journal title:Journal of Nuclear Medicine, 2008-12, Vol.49 (12), p.1958-1965
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Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy
Author / Creator:Reza, Mariana ; Bjartell, Anders ; Ohlsson, Mattias ; Kaboteh, Reza ; Wollmer, Per ; Edenbrandt, Lars ; Trägårdh, Elin
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:EJNMMI research, 2014-10, Vol.4 (1), p.58-58, Article 58
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ArticlesPeer ReviewedFull Text
Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
Author / Creator:Björkelund, Anders, PhD ; Ohlsson, Mattias, PhD ; Lundager Forberg, Jakob, MD, PhD ; Mokhtari, Arash, MD, PhD ; Olsson de Capretz, Pontus, MD ; Ekelund, Ulf, MD, PhD ; Björk, Jonas, PhD
Publisher:United States: John Wiley and Sons Inc
Journal title:Journal of the American College of Emergency Physicians Open, 2021-04, Vol.2 (2), p.e12363-e12363, Article e12363
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ArticlesPeer ReviewedFull Text
Tumor tissue protein signatures reflect histological grade of breast cancer
Author / Creator:Skoog, Petter ; Ohlsson, Mattias ; Fernö, Mårten ; Rydén, Lisa ; Borrebaeck, Carl A. K. ; Wingren, Christer
Publisher:United States: Public Library of Science
Journal title:PloS one, 2017-06, Vol.12 (6), p.e0179775
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The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer...
Author / Creator:Skarping, Ida ; Dihge, Looket ; Bendahl, Pär-Ola ; Huss, Linnea ; Ellbrant, Julia ; Ohlsson, Mattias ; Rydén, Lisa
Publisher:Switzerland: MDPI AG
Journal title:Diagnostics (Basel), 2022-02, Vol.12 (3), p.582
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Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases
Author / Creator:Carlsson, Anders ; Wingren, Christer ; Kristensson, Malin ; Rose, Carsten ; Fernö, Mårten ; Olsson, Håkan ; Jernström, Helena ; Ek, Sara ; Gustavsson, Elin ; Ingvar, Christian ; Ohlsson, Mattias ; Peterson, Carsten ; Borrebaeck, Carl A. K
Publisher:United States: National Academy of Sciences
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2011-08, Vol.108 (34), p.14252-14257
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Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development
Author / Creator:Hjärtström, Malin ; Dihge, Looket ; Bendahl, Pär-Ola ; Skarping, Ida ; Ellbrant, Julia ; Ohlsson, Mattias ; Rydén, Lisa
Publisher:Toronto: JMIR Publications
Journal title:JMIR cancer, 2023-01, Vol.9 (1), p.e46474
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Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation
Author / Creator:Ekelund, Ulf ; Akbarzadeh, Mahin ; Khoshnood, Ardavan ; Björk, Jonas ; Ohlsson, Mattias
Publisher:England: BioMed Central Ltd
Journal title:BMC research notes, 2012-08, Vol.5 (1), p.420-420, Article 420
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Showing 1 to 20 of 68 results

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Human bias and CNNs’ superior insights in satellite based poverty mapping

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Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease

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The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival

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A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system

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Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

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Artificial neural network models to predict nodal status in clinically node-negative breast cancer

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Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation

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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study

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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms

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Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions

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Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics

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The skåne emergency medicine (SEM) cohort

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Computer-Assisted Interpretation of Planar Whole-Body Bone Scans

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Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy

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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations

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Tumor tissue protein signatures reflect histological grade of breast cancer

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The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer...

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Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases

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Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

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Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation

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