Matjaž Kukar

Matjaž Kukar

Univerza v Ljubljani

H-index: 24

Europe-Slovenia

About Matjaž Kukar

Matjaž Kukar, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at Univerza v Ljubljani, specializes in the field of machine learning, spatial data mining, artificial intelligence.

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

Differentiating viral and bacterial infections: A machine learning model based on routine blood test values

Disease progression of hypertrophic cardiomyopathy: modeling using machine learning

Pogostnost in jakost simptomov med kemoterapijo: primerjava med poročanjem bolnic in zdravnikov

Poročanje o neželenih učinkih med zdravljenjem s kemoterapijo: analiza raziskave Onkoved

COVID-19 diagnosis by routine blood tests using machine learning

Delovni okvir za pretočne podatke s standardom common information model (CIM)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy

Mobile app for symptom management and associated quality of life during systemic treatment in early stage breast cancer: nonrandomized controlled prospective cohort study

Matjaž Kukar Information

University

Position

Faculty of Computer and Information Science Slovenia

Citations(all)

2903

Citations(since 2020)

1365

Cited By

2001

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

34

i10Index(since 2020)

21

Email

University Profile Page

Univerza v Ljubljani

Google Scholar

View Google Scholar Profile

Matjaž Kukar Skills & Research Interests

machine learning

spatial data mining

artificial intelligence

Top articles of Matjaž Kukar

Title

Journal

Author(s)

Publication Date

Differentiating viral and bacterial infections: A machine learning model based on routine blood test values

arXiv preprint arXiv:2305.07877

Gregor Gunčar

Matjaž Kukar

Tim Smole

Sašo Moškon

Tomaž Vovko

...

2023/5/13

Disease progression of hypertrophic cardiomyopathy: modeling using machine learning

JMIR Medical Informatics

Matej Pičulin

Tim Smole

Bojan Žunkovič

Enja Kokalj

Marko Robnik-Šikonja

...

2022/2/2

Pogostnost in jakost simptomov med kemoterapijo: primerjava med poročanjem bolnic in zdravnikov

34. onkološki vikend

Nina Privšek

Tina Zupančič

Ema Grašič

Marjetka Sraka

Timotej Kovač

...

2022

Poročanje o neželenih učinkih med zdravljenjem s kemoterapijo: analiza raziskave Onkoved

Dnevi internistične onkologije 2022

Nina Privšek

Tina Zupančič

Ema Grašič

Marjetka Sraka

Klara Grad

...

2022

COVID-19 diagnosis by routine blood tests using machine learning

Scientific reports

Matjaž Kukar

Gregor Gunčar

Tomaž Vovko

Simon Podnar

Peter Černelč

...

2021/5/24

Delovni okvir za pretočne podatke s standardom common information model (CIM)

Uporabna informatika

Maja Savinek

Matjaž Kukar

2021/10/15

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy

Computers in biology and medicine

Tim Smole

Bojan Žunkovič

Matej Pičulin

Enja Kokalj

Marko Robnik-Šikonja

...

2021/8/1

Mobile app for symptom management and associated quality of life during systemic treatment in early stage breast cancer: nonrandomized controlled prospective cohort study

JMIR mHealth and uHealth

Cvetka Grašič Kuhar

Tjaša Gortnar Cepeda

Timotej Kovač

Matjaž Kukar

Nina Ružić Gorenjec

2020/8/4

See List of Professors in Matjaž Kukar University(Univerza v Ljubljani)