Marko Bohanec

ORCID: 0000-0003-4317-2833
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About
Contact & Profiles
Research Areas
  • Multi-Criteria Decision Making
  • Data Mining Algorithms and Applications
  • Big Data and Business Intelligence
  • Rough Sets and Fuzzy Logic
  • Genetically Modified Organisms Research
  • Bayesian Modeling and Causal Inference
  • Forecasting Techniques and Applications
  • Sustainable Agricultural Systems Analysis
  • Business Process Modeling and Analysis
  • Data Management and Algorithms
  • AI-based Problem Solving and Planning
  • Advanced Database Systems and Queries
  • Service-Oriented Architecture and Web Services
  • Machine Learning and Data Classification
  • Cognitive Science and Mapping
  • Imbalanced Data Classification Techniques
  • Biomedical Text Mining and Ontologies
  • Data Quality and Management
  • Semantic Web and Ontologies
  • CRISPR and Genetic Engineering
  • Artificial Intelligence in Healthcare
  • Neural Networks and Applications
  • Agricultural Innovations and Practices
  • Mobile Health and mHealth Applications
  • Organic Food and Agriculture

Jožef Stefan Institute
2015-2024

University of Nova Gorica
2008-2019

Jožef Stefan International Postgraduate School
2008-2019

University of Maribor
2016

Guizhou Institute of Technology
2015

University of Ljubljana
2002-2012

Advanced Materials and Technologies (Slovenia)
2012

Kranj School Centre
1987

10.1023/a:1022685808937 article EN Machine Learning 1994-01-01

PD_Manager is a mobile health platform designed to cover most of the aspects regarding management Parkinson's disease (PD) in holistic approach. Patients are unobtrusively monitored using commercial wrist and insole sensors paired with smartphone, automatically estimate severity PD motor symptoms. Besides symptoms monitoring, patient's application also provides various non-motor self-evaluation tests for assessing cognition, mood nutrition motivate them becoming more active managing their...

10.1049/htl.2017.0007 article EN cc-by Healthcare Technology Letters 2017-04-11

The focus of this study is to integrate the DEX (Decision EXpert) decision-modeling method in architectural and urban design (A & UD) competitions. This aims assess effectiveness integrating into evaluation process A UD competitions enhance decision-making transparency, objectivity, efficiency. By using symbolic values decision models, approach offers a more user-friendly alternative conventional jury process. practical application demonstrated Rhinoceros 3D environment show its...

10.3390/smartcities7020033 article EN cc-by Smart Cities 2024-03-18

10.1016/s1386-5056(00)00087-3 article EN International Journal of Medical Informatics 2000-09-01

Purpose The purpose of this paper is to address the problem weak acceptance machine learning (ML) models in business. proposed framework top-performing ML coupled with general explanation methods provides additional information decision-making process. This builds a foundation for sustainable organizational learning. Design/methodology/approach To user acceptance, participatory approach action design research (ADR) was chosen. demonstrated on B2B sales forecasting process an setting,...

10.1108/imds-09-2016-0409 article EN Industrial Management & Data Systems 2017-07-03

Background Congestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression anxiety, who commonly find difficult. Existing mobile apps supporting the self-management of CHF have limited features are inadequately validated. Objective The HeartMan project aims to develop personal health system would comprehensively address by using sensing devices artificial...

10.2196/24501 article EN cc-by JMIR Medical Informatics 2021-01-11

10.1016/s0004-3702(99)00008-9 article EN Artificial Intelligence 1999-06-01
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