Mattias Ohlsson
- Computational Biology and Biological Physics - Has been reorganised
- Department of Astronomy and Theoretical Physics - Has been reorganised
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- eSSENCE: The e-Science Collaboration
- Faculty Office
- LU Profile Area: Natural and Artificial Cognition
- Centre for Environmental and Climate Science (CEC)
- Computational Science for Health and Environment
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- 2024
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Mark
The skåne emergency medicine (SEM) cohort
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- Contribution to journal › Article
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The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
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Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
(
- Contribution to journal › Article
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Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
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Mark
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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- Contribution to journal › Article
- 2023
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Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
2023) 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
2023) 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 In Studies in Health Technology and Informatics 302. p.609-610(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
2023) European Emergency Medicine Congress 2023(
- Contribution to conference › Poster
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Mark
Deep learning prediction models based on EHR trajectories : A systematic review
(
- Contribution to journal › Scientific review
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Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
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Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
(
- Contribution to journal › Article
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Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
2023) Swedish Emergency Medicine Talks - SWEETS23(
- Contribution to conference › Poster
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
(
- Contribution to journal › Article
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Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
- 2022
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Mark
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 (ISRCTN14341750)
(
- Contribution to journal › Article
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Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
2022) Swedish Emergency Medicine Talks 2022(
- Contribution to conference › Poster
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Mark
Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
2022) Swedish Emergency Medicine Talks 2022(
- Contribution to conference › Poster
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Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
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Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- Contribution to journal › Article
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A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
(
- Contribution to journal › Scientific review
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Mark
Deterministic annealing with Potts neurons for multi-robot routing
(
- Contribution to journal › Article
- 2021
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Mark
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
(
- Contribution to journal › Article
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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
(
- Contribution to journal › Article
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Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
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Mark
Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Proteomic data analysis for differential profiling of the autoimmune diseases SLE, RA, SS, and ANCA-associated vasculitis
(
- Contribution to journal › Article
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Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
2021) In medRxiv(
- Working paper/Preprint › Preprint in preprint archive
- 2020
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Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
(
- Contribution to journal › Article
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Mark
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
(
- Contribution to journal › Article
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Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
(
- Contribution to journal › Article
- 2019
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Mark
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance
(
- Contribution to journal › Article
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Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
(
- Contribution to journal › Article
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Mark
Variational auto-encoders with Student’s t-prior
2019) 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
(
- Contribution to journal › Article
- 2018
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Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
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Mark
Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
2018) 38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 37(4 Suppl). p.171-172(
- Contribution to journal › Published meeting abstract
- 2017
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Mark
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Tumor tissue protein signatures reflect histological grade of breast cancer
2017) In PLoS ONE(
- Contribution to journal › Article
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Mark
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
(
- Contribution to journal › Article
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Mark
Influence of Structurally Based HLA Mismatching on Long-Term Graft Loss in Adult Heart Transplant Recipients
2017) 37th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In The Journal of Heart and Lung Transplantation 36(4 Suppl). p.204-204(
- Contribution to journal › Published meeting abstract
- 2016
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Mark
Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics
(
- Contribution to journal › Article
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Mark
Statistical power considerations in genotype-based recall randomized controlled trials
(
- Contribution to journal › Article
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Mark
Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer : A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice
(
- Contribution to journal › Article
- 2015
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Mark
The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.
(
- Contribution to journal › Article
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Mark
Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
(
- Contribution to journal › Article
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Mark
Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease
(
- Contribution to journal › Article
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Mark
Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
(
- Contribution to journal › Article
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Mark
ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients.
(
- Contribution to journal › Article
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Mark
Analysis of the Influence of HLA-A Matching Relative to HLA-B and -DR Matching on Heart Transplant Outcomes
(
- Contribution to journal › Article
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Mark
Prediction of Primary Graft Dysfunction After Heart Transplantation
2015) 35th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 34(4). p.35-35(
- Contribution to journal › Published meeting abstract
- 2014
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Mark
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.
(
- Contribution to journal › Article
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Mark
Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy.
(
- Contribution to journal › Article
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Identification of B-cell lymphoma subsets by plasma protein profiling using recombinant antibody microarrays.
(
- Contribution to journal › Article
- 2013
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Mark
CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation.
(
- Contribution to journal › Article
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Mark
Transcriptional regulation of lineage commitment - a stochastic model of cell fate decisions.
(
- Contribution to journal › Article
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Mark
Cerebrospinal Fluid Levels of Heart Fatty Acid Binding Protein are Elevated Prodromally in Alzheimer's Disease and Vascular Dementia
(
- Contribution to journal › Article
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Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
(
- Contribution to journal › Article
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Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index
(
- Contribution to journal › Article
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Prognosis of patients without perfusion defects with and without rest study in myocardial perfusion scintigraphy
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- Contribution to journal › Article
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Bone Scan Index: A prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy
(
- Contribution to journal › Article
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Mark
Ensembles of genetically trained artificial neural networks for survival analysis
2013) 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013 p.333-338(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2012
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Mark
An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
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- Contribution to journal › Article
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Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer's disease.
(
- Contribution to journal › Article
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Risk predictions for individual patients from logistic regression were visualized with bar-line charts.
(
- Contribution to journal › Article
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Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation
(
- Contribution to journal › Article
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A Novel Automated Platform for Quantifying the Extent of Skeletal Tumour Involvement in Prostate Cancer Patients Using the Bone Scan Index.
(
- Contribution to journal › Article
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Referring physicians underestimate the extent of abnormalities in final reports from myocardial perfusion imaging
(
- Contribution to journal › Article
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Influence of HLA Matching on Heart Transplant Outcomes
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
ABO Blood Type Matching and Survival after Heart Transplantation: Analyze of the ISHLT Registry : Journal of Heart and Lung Transplantation
2012) 32nd Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 31(4, Suppl). p.136-136(
- Contribution to journal › Published meeting abstract
- 2011
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Mark
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases.
(
- Contribution to journal › Article
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Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks.
(
- Contribution to journal › Article
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Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy.
(
- Contribution to journal › Article
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Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
(
- Contribution to journal › Article
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Electrocardiograms of men and women with suspected acute coronary syndrome in the ED
(
- Contribution to conference › Abstract
- 2010
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Mark
Genetic profiles of gastroesophageal cancer: combined analysis using expression array and tiling array-comparative genomic hybridization
(
- Contribution to journal › Article
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Artificial Neural Networks - A Method for Optimal. Donor-Recipient Matching. Large Scale Simulation of Survival after Heart Transplantation
2010) 30th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In Journal of Heart and Lung Transplantation 29(2 Suppl. 1). p.29-29(
- Contribution to journal › Published meeting abstract
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Mark
Pre-treatment Bone Scan Index as an Outcome Measure Predicting for Survival in Patients with Castration-Refractory Prostate Cancer
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.270-270(
- Contribution to journal › Published meeting abstract
- 2009
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Mark
Automated Decision Support for Bone Scintigraphy
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
(
- Contribution to journal › Article
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In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
(
- Contribution to journal › Article
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Virtual Cross-Matching in Heart Transplantation : Large Scale Simulation of Survival after Heart Transplantation Using Artificial Neural Networks
2009) 29th Annual Meeting and Scientific Session of the International-Society-for-Heart-and-Lung-Transplantation In Journal of Heart and Lung Transplantation 28(2). p.231-232(
- Contribution to journal › Published meeting abstract
- 2008
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Mark
Computer-Assisted Interpretation of Planar Whole-Body Bone Scans.
(
- Contribution to journal › Article
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Mark
Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT
(
- Contribution to journal › Article
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Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
2008) International Conference on Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a cardiac care unit physician
2008) National Meeting in Emergency Medicine, 2008(
- Contribution to conference › Poster
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Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
2008) 8th Swedish Bioinformatics Workshop(
- Contribution to conference › Poster
- 2007
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Mark
Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome.
(
- Contribution to journal › Article
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Automated interpretation of PET/CT images in patients with lung cancer.
(
- Contribution to journal › Article
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Mark
Comparison of standard resampling methods for performance estimation of artificial neural network ensembles
2007) Third International Conference on Computational Intelligence in Medicine and Healthcare(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2006
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Mark
Decision Support for the Initial Triage of Patients with Acute Myocardial Infarction
(
- Contribution to journal › Article
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Mark
The added value of ECG-gating for the diagnosis of myocardial infarction using myocardial perfusion scintigraphy and artificial neural networks
(
- Contribution to journal › Article
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Mark
Patient gender and radiopharmaceutical tracer is of minor importance for the interpretation of myocardial perfusion images using an artificial neural network.
(
- Contribution to journal › Article
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Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
(
- Contribution to journal › Article
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Mark
Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy.
(
- Contribution to journal › Article
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A new computer-based decision-support system for the interpretation of bone scans.
(
- Contribution to journal › Article
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Mark
Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.
(
- Contribution to journal › Article
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A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
(
- Contribution to journal › Article
- 2005
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Mark
Toward personal eHealth in cardiology. Results from the EPI-MEDICS telemedicine project
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Interpretation of captopril renography using artificial neural networks.
(
- Contribution to journal › Article