Vit Novacek

Vit Novacek

Masarykova univerzita

H-index: 16

Europe-Czech Republic

About Vit Novacek

Vit Novacek, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Masarykova univerzita, specializes in the field of Discovery Informatics, Health Informatics, Artificial Intelligence, Knowledge Graphs.

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

Boosting predictive models and augmenting patient data with relevant genomic and pathway information

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

Machine learning–assisted recurrence prediction for patients with early-stage non–small-cell lung cancer

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient

Extraction, labelling, clustering, and semantic mapping of segments from clinical notes

Curing Cancer with Knowledge Graphs (and other Outrageous Ideas)

Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset

Vit Novacek Information

University

Position

Faculty of Informatics / Data Science Institute NUI Galway

Citations(all)

986

Citations(since 2020)

692

Cited By

465

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

25

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Vit Novacek Skills & Research Interests

Discovery Informatics

Health Informatics

Artificial Intelligence

Knowledge Graphs

Top articles of Vit Novacek

Title

Journal

Author(s)

Publication Date

Boosting predictive models and augmenting patient data with relevant genomic and pathway information

Computers in Biology and Medicine

Samuele Buosi

Mohan Timilsina

Maria Torrente

Mariano Provencio

Dirk Fey

...

2024/4/3

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings

Expert Systems with Applications

Samuele Buosi

Mohan Timilsina

Adrianna Janik

Luca Costabello

Maria Torrente

...

2024/1/1

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

Journal of Biomedical Informatics

Mohan Timilsina

Dirk Fey

Samuele Buosi

Adrianna Janik

Luca Costabello

...

2023/8/1

Machine learning–assisted recurrence prediction for patients with early-stage non–small-cell lung cancer

JCO Clinical Cancer Informatics

Adrianna Janik

Maria Torrente

Luca Costabello

Virginia Calvo

Brian Walsh

...

2023/7

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient

Mohan Timilsina

Samuele Buosi

Adrianna Janik

Pasquale Minervini

Luca Costabello

...

2023/6/18

Extraction, labelling, clustering, and semantic mapping of segments from clinical notes

IEEE Transactions on NanoBioscience

Petr Zelina

Jana Halámková

Vít Nováček

2023/5/11

Curing Cancer with Knowledge Graphs (and other Outrageous Ideas)

Vít Nováček

2023

Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset

Petr Zelina

Jana Halámková

Vít Nováček

2023/12/5

Method and apparatus for completing a knowledge graph

2022/5/24

Unsupervised extraction, labelling and clustering of segments from clinical notes

Petr Zelina

Jana Halámková

Vít Nováček

2022/12/6

Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding

Neural Networks

Mohan Timilsina

Vít Nováček

Mathieu D’aquin

Haixuan Yang

2022/12/1

AI for Cancer Patient Empowerment-Interim Results of the AIcope Project

Vít Nováček

Marko Řeháček

Petr Zelina

Jana Halámková

2022

Machine learning-assisted recurrence prediction for early-stage non-small-cell lung cancer patients

arXiv preprint arXiv:2211.09856

Adrianna Janik

Maria Torrente

Luca Costabello

Virginia Calvo

Brian Walsh

...

2022/11/17

Machine learning approaches for predicting the onset time of the adverse drug events in oncology

Machine Learning with Applications

Mohan Timilsina

Meera Tandan

Vít Nováček

2022/9/15

An artificial intelligence-based tool for data analysis and prognosis in cancer patients: results from the clarify study

Cancers

María Torrente

Pedro A Sousa

Roberto Hernández

Mariola Blanco

Virginia Calvo

...

2022/8/22

Biological applications of knowledge graph embedding models

Sameh K Mohamed

Aayah Nounu

Vít Nováček

2021/3

On predicting recurrence in early stage non-small cell lung cancer

AMIA Annual Symposium Proceedings

Sameh K Mohamed

Brian Walsh

Mohan Timilsina

Maria Torrente

Fabio Franco

...

2021

P08. 01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together

Journal of Thoracic Oncology

M Torrente

F Franco

V Calvo

A Collazo Lorduy

E Menasalvas

...

2021/10/1

On training knowledge graph embedding models

Information

Sameh K Mohamed

Emir Muñoz

Vit Novacek

2021/3/31

Similarity-computation apparatus, a side effect determining apparatus and a system for calculating similarities between drugs and using the similarities to extrapolate side effects

2021/3/30

See List of Professors in Vit Novacek University(Masarykova univerzita)

Co-Authors

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