[HTML][HTML] Patient similarity in prediction models based on health data: a sco** review

A Sharafoddini, JA Dubin, J Lee - JMIR medical informatics, 2017 - medinform.jmir.org
Background: Physicians and health policy makers are required to make predictions during
their decision making in various medical problems. Many advances have been made in …

Predictive value of selected biomarkers related to metabolism and oxidative stress in children with autism spectrum disorder

A El-Ansary, G Bjørklund, S Chirumbolo… - Metabolic brain …, 2017 - Springer
Autism spectrum disorder (ASD) as a neurodevelopmental disorder is characterized by
impairments in social interaction, communication, and restricted, repetitive behavior. Several …

A personalized medical decision support system based on explainable machine learning algorithms and ecc features: Data from the real world

D Gu, W Zhao, Y **e, X Wang, K Su, OV Zolotarev - Diagnostics, 2021 - mdpi.com
Artificial intelligence can help physicians improve the accuracy of breast cancer diagnosis.
However, the effectiveness of AI applications is limited by doctors' adoption of the results …

Classification of Predicting Customer Ad Clicks Using Logistic Regression and k-Nearest Neighbors

Y Dani, MA Ginting - JOIV: International Journal on Informatics Visualization, 2023 - joiv.org
Nowadays, conventional marketing techniques have changed to online (digital) marketing
techniques requiring internet access. Online marketing techniques have many advantages …

Diabetes diagnosis by case-based reasoning and fuzzy logic

M Benamina, B Atmani, S Benbelkacem - IJIMAI, 2018 - dialnet.unirioja.es
In the medical field, experts' knowledge is based on experience, theoretical knowledge and
rules. Case-based reasoning is a problem-solving paradigm which is based on past …

Alpha-Synuclein, cyclooxygenase-2 and prostaglandins-EP2 receptors as neuroinflammatory biomarkers of autism spectrum disorders: Use of combined ROC curves …

A El-Ansary, M Alhakbany, A Aldbass, H Qasem… - Lipids in Health and …, 2021 - Springer
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder
characterized by impairments in social interaction and restricted and repetitive behaviors …

[HTML][HTML] A systematic review of data mining applications in kidney transplantation

N Aslani, N Galehdar, A Garavand - Informatics in Medicine Unlocked, 2023 - Elsevier
Introduction Kidney transplantation is one of the most important surgical operations requiring
much attention to patients' condition after the transplant. Data mining can be used as a …

Modelling similarity for comparing physical activity profiles-a data-driven approach

D Verma, K Bach, PJ Mork - … , ICCBR 2018, Stockholm, Sweden, July 9-12 …, 2018 - Springer
Objective measurements of physical behaviour are an interesting research field from the
public health and computer science perspective. While for public health research …

[PDF][PDF] Predicting fraud in mobile money transfer

A Adedoyin - 2018 - cris.brighton.ac.uk
Abstract Mobile Money Transfer (MMT) is a fast growing medium of making financial
transactions via a mobile device. It is increasingly becoming adopted in growing markets …

Novel Python-based “all-regressor model” application for photovoltaic plant-specific yield estimation and systematic analysis

H Adun, O Bamisile, M Mukhtar, M Dagbasi… - Energy Sources, Part …, 2021 - Taylor & Francis
The deployment of photovoltaic technology in global electricity generation has reduced the
dependence on fossil fuels and the adverse effect of global warming climate changes …