User profiles for Gregor Stiglic
 | Gregor StiglicProfessor, University of Maribor, Faculty of Health Sciences Verified email at um.si Cited by 3527 |
Interpretability of machine learning‐based prediction models in healthcare
There is a need of ensuring that learning (ML) models are interpretable. Higher interpretability
of the model means easier comprehension and explanation of future predictions for end‐…
of the model means easier comprehension and explanation of future predictions for end‐…
[HTML][HTML] Early detection of type 2 diabetes mellitus using machine learning-based prediction models
Most screening tests for T2DM in use today were developed using multivariate regression
methods that are often further simplified to allow transformation into a scoring formula. The …
methods that are often further simplified to allow transformation into a scoring formula. The …
Can ChatGPT pass the life support exams without entering the American heart association course?
ChatGPT is a large language model developed by OpenAI, 1 trained on a massive dataset
of text from the internet. It can generate human-like responses to a variety of questions and …
of text from the internet. It can generate human-like responses to a variety of questions and …
[HTML][HTML] The concept of Watson's carative factors in nursing and their (dis) harmony with patient satisfaction
Background Constant reviews of the caring behavior of nurses and patient satisfaction help
to improve the quality of nursing. The aim of our research was to explore relationships …
to improve the quality of nursing. The aim of our research was to explore relationships …
Validation of the Finnish Diabetes Risk Score (FINDRISC) questionnaire for undiagnosed type 2 diabetes screening in the Slovenian working population
We performed a cross-sectional population-based study on 632 participants, aged 20–65,
who were screened using the Finnish Diabetes Risk Score (FINDRISC) questionnaire. …
who were screened using the Finnish Diabetes Risk Score (FINDRISC) questionnaire. …
[HTML][HTML] Health recommender systems: systematic review
Background: Health recommender systems (HRSs) offer the potential to motivate and engage
users to change their behavior by sharing better choices and actionable knowledge based …
users to change their behavior by sharing better choices and actionable knowledge based …
[HTML][HTML] Comprehensive decision tree models in bioinformatics
Purpose Classification is an important and widely used machine learning technique in
bioinformatics. Researchers and other end-users of machine learning software often prefer to …
bioinformatics. Researchers and other end-users of machine learning software often prefer to …
Review of artificial intelligence‐based question‐answering systems in healthcare
Use of conversational agents, like chatbots, avatars, and robots is increasing worldwide. Yet,
their effectiveness in health care is largely unknown. The aim of this advanced review was …
their effectiveness in health care is largely unknown. The aim of this advanced review was …
Emotional intelligence among nursing students: Findings from a cross-sectional study
Background Emotional intelligence in nursing is of global interest. International studies
identify that emotional intelligence influences nurses' work and relationships with patients. It is …
identify that emotional intelligence influences nurses' work and relationships with patients. It is …
An opinion on ChatGPT in health care—written by humans only
ChatGPT, created by OpenAI, has taken the world by storm, and its user base is growing
even faster than the previous record held by TikTok, reaching 100 million users in just 2 mo …
even faster than the previous record held by TikTok, reaching 100 million users in just 2 mo …