Mattias Ohlsson

Professor

Lund University Samhällsvetenskapliga fakulteten

Sweden

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Articles (8)

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (16)

Helle Krogh Pedersen

Københavns Universitet

DENMARK

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Matilda Dale

KTH Royal Institute of Technology

SWEDEN

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Ardavan M. Khoshnood

Lund University

SWEDEN

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Josef Stehlik

Professor of Medicine

University of Utah School of Medicine

UNITED STATES

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Johan Nilsson

Professor in Thoracic Surgery and Bioinformatics

Lund University

SWEDEN

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Thorsteinn Rögnvaldsson

Professor

Halmstad University

SWEDEN

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Ellen Tolestam Heyman

Lund University

SWEDEN

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Lisa Rydén

Professor Surgery

Umeå Universitet Medicinska fakulteten

SWEDEN

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Alaitz Poveda

Assisstant Proffesor

University of the Basque Country

SPAIN

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Cecilia Engel Thomas

Københavns Universitet

DENMARK

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Sepideh Pashami

Senior Lecturer

Högskolan i Halmstad

SWEDEN

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Ingegerd Johansson

Umea University

SWEDEN

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Federico De Masi

Technical University of Denmark

DENMARK

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Katarina Steen Carlsson

SWEDEN

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Hugo Pomares-Millan

Dartmouth College Geisel School of Medicine

UNITED STATES

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Lars H Lund

Karolinska University Hospital

SWEDEN

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Mattias Ohlsson

Research Interests

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Articles (8)

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)

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models

A machine learning model for prediction of 30-day primary graft failure after heart transplantation

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

The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer

Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality

Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths

Predicting and elucidating the etiology of fatty liver disease

Collaborators (16)

Helle Krogh Pedersen

Matilda Dale

Ardavan M. Khoshnood

Josef Stehlik

Johan Nilsson

Thorsteinn Rögnvaldsson

Ellen Tolestam Heyman

Lisa Rydén

Alaitz Poveda

Cecilia Engel Thomas

Sepideh Pashami

Ingegerd Johansson

Federico De Masi

Katarina Steen Carlsson

Hugo Pomares-Millan

Lars H Lund

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