Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view
O Loyola-Gonzalez - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays, in the international scientific community of machine learning, there exists an
enormous discussion about the use of black-box models or explainable models; especially …
enormous discussion about the use of black-box models or explainable models; especially …
Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps
D Chushig-Muzo, C Soguero-Ruiz… - IEEE …, 2020 - ieeexplore.ieee.org
Hypertension and diabetes have become a global health and economic issue, being among
the major chronic conditions worldwide, particularly in developed countries. To face this …
the major chronic conditions worldwide, particularly in developed countries. To face this …
[HTML][HTML] Noisy multi-label semi-supervised dimensionality reduction
Noisy labeled data represent a rich source of information that often are easily accessible
and cheap to obtain, but label noise might also have many negative consequences if not …
and cheap to obtain, but label noise might also have many negative consequences if not …
Visually guided classification trees for analyzing chronic patients
C Soguero-Ruiz, I Mora-Jiménez… - BMC …, 2020 - Springer
Background Chronic diseases are becoming more widespread each year in developed
countries, mainly due to increasing life expectancy. Among them, diabetes mellitus (DM) and …
countries, mainly due to increasing life expectancy. Among them, diabetes mellitus (DM) and …
Naïve Bayes for Health-Status Predictive Monitoring in COVID-19: Leveraging Drugs and Diagnoses
LT Martínez Marquina, N Núñez Anglada… - … Work-Conference on …, 2024 - Springer
The COVID-19 outbreak, originated in China in late December 2019, resulted in around 15
million deaths by 2021 due to its rapid transmission and challenging early diagnosis. Since …
million deaths by 2021 due to its rapid transmission and challenging early diagnosis. Since …
A data-driven model based on support vector machine to identify chronic hypertensive and diabetic patients
C Soguero-Ruiz, P de Miguel-Bohoyo… - … , PhyCS 2016, Lisbon …, 2019 - Springer
Hypertension and diabetes are chronic conditions that have a considerable prevalence in
the elderly. It is estimated that both hypertensive patients and people with diagnosed …
the elderly. It is estimated that both hypertensive patients and people with diagnosed …
Using multi-anchors to identify patients suffering from multimorbidities
K yvind Mikalsen, C Soguero-Ruiz… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Chronic diseases, and in particular the co-occurrence of more than one chronic disease in
an patient, which is known as multimorbidity, represent an increasing problem in modern …
an patient, which is known as multimorbidity, represent an increasing problem in modern …
Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare
KØ Mikalsen - 2019 - munin.uit.no
In healthcare, vast amounts of data are stored digitally in the electronic health records
(EHRs). EHRs represent a largely untapped source of clinically relevant information, which …
(EHRs). EHRs represent a largely untapped source of clinically relevant information, which …