Anders Björkelund

Anders Björkelund

Lunds Universitet

H-index: 16

Europe-Sweden

About Anders Björkelund

Anders Björkelund, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Lunds Universitet, specializes in the field of Machine Learning, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients

Factors important for health-related quality of life in men and women: The population based SCAPIS study

Delayed traumatic intracranial haemorrhage: The prevalence is very low in patients on oral anticoagulation

Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness

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

Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era

Anders Björkelund Information

University

Position

Researcher

Citations(all)

1658

Citations(since 2020)

708

Cited By

1257

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

11

Email

University Profile Page

Lunds Universitet

Google Scholar

View Google Scholar Profile

Anders Björkelund Skills & Research Interests

Machine Learning

Natural Language Processing

Top articles of Anders Björkelund

Title

Journal

Author(s)

Publication Date

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

BMC medical informatics and decision making

Pontus Olsson de Capretz

Anders Björkelund

Jonas Björk

Mattias Ohlsson

Arash Mokhtari

...

2023/2/2

Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients

Journal of Electrocardiology

Axel Nyström

Pontus Olsson de Capretz

Anders Björkelund

Jakob Lundager Forberg

Mattias Ohlsson

...

2024/1/1

Factors important for health-related quality of life in men and women: The population based SCAPIS study

Plos one

Max Olsson

Anders J Björkelund

Jacob Sandberg

Anders Blomberg

Mats Börjesson

...

2023/11/3

Delayed traumatic intracranial haemorrhage: The prevalence is very low in patients on oral anticoagulation

Lars André

Anders Björkelund

Ulf Ekelund

Tomas Vedin

Jonas Björk

...

2022/9/14

Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness

Donika Haziri

Anders Björkelund

Ulf Ekelund

Jonas Björk

Mattias Ohlsson

...

2022/9

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

Journal of the American college of emergency physicians open

Anders Björkelund

Mattias Ohlsson

Jakob Lundager Forberg

Arash Mokhtari

Pontus Olsson de Capretz

...

2021/4

Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era

Agnieszka Falenska

Anders Björkelund

Jonas Kuhn

2020/7

See List of Professors in Anders Björkelund University(Lunds Universitet)

Co-Authors

H-index: 66
Joakim Nivre

Joakim Nivre

Uppsala Universitet

H-index: 31
Pierre Nugues

Pierre Nugues

Lunds Universitet

H-index: 27
Richárd Farkas

Richárd Farkas

Szegedi Tudományegyetem

H-index: 27
Jonas Kuhn

Jonas Kuhn

Universität Stuttgart

H-index: 23
Olga Uryupina

Olga Uryupina

Università degli Studi di Trento

H-index: 21
Özlem Çetinoğlu

Özlem Çetinoğlu

Universität Stuttgart

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