[HTML][HTML] Predicting hospital readmission risk in patients with COVID-19: A machine learning approach

MR Afrash, H Kazemi-Arpanahi… - Informatics in medicine …, 2022 - Elsevier
Abstract Introduction The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …

Cancer therapy assessment accounting for heterogeneity using q-rung picture fuzzy dynamic aggregation approach

R Kausar, HMA Farid, M Riaz, D Božanić - Symmetry, 2022 - mdpi.com
Due to the fact that there is no symmetry in the division of cancer cells, it is important to
consider this asymmetrical behavior. Because of this heterogeneity during any therapy, not …

Colorectal cancer prognosis based on dietary pattern using synthetic minority oversampling technique with K-nearest neighbors approach

ST Prasath, C Navaneethan - Scientific Reports, 2024 - nature.com
Generally, a person's life span depends on their food consumption because it may cause
deadly diseases like colorectal cancer (CRC). In 2020, colorectal cancer accounted for one …

[PDF][PDF] Gas-Net: A deep neural network for gastric tumor semantic segmentation.

LF KAZI TANI, MYK TANI, B KADRI - AIMS Bioengineering, 2022 - aimspress.com
Gas-Net: A deep neural network for gastric tumor semantic segmentation Page 1 AIMS
Bioengineering, 9(3): 266–282. DOI: 10.3934/bioeng.2022018 Received: 20 May 2022 …

Screening ovarian cancer by using risk factors: machine learning assists

R Nopour - BioMedical Engineering OnLine, 2024 - Springer
Background and aim Ovarian cancer (OC) is a prevalent and aggressive malignancy that
poses a significant public health challenge. The lack of preventive strategies for OC …

[HTML][HTML] The Machine Learning Model for Predicting Inadequate Bowel Preparation Before Colonoscopy: A Multicenter Prospective Study

F Gu, J Xu, L Du, H Liang, J Zhu, L Lin… - Clinical and …, 2024 - journals.lww.com
METHODS: A multicenter prospective study was conducted on adult outpatients undergoing
colonoscopy from January 2021 to May 2023. Data on patient characteristics, comorbidities …

Fuzzy logic-based hybrid models for clinical decision support systems in cancer

S Qazi, N Iqbal, K Raza - … in Diagnosis, Prognosis and Therapeutics of …, 2022 - Springer
With the advent of artificial intelligence in medicine (AIM) many severe diseases are now
being successfully diagnosed at the earliest with an efficient and accurate prognosis and …

[PDF][PDF] The Uses of Artificial Intelligence in Rheumatology

RM AlGhazo, K Remita, A Awad - Sch Acad J Biosci, 2024 - saspublishers.com
Artificial intelligence refers to computers performing tasks typically linked to human
intelligence, such as recognizing speech, understanding language, identifying objects, and …

Machine Learning Based Intrusion Detection System for Cyberattacks on Corporate Networks

S Ambatipudi - 2025 - search.proquest.com
Business organizations have benefited significantly from technology explosion that resulted
in a rapid expansion of their computer network infrastructure. This led to the introduction of …

[PDF][PDF] Informatics in Medicine Unlocked

MR Afrash, H Kazemi-Arpanahi, M Shanbehzadeh… - academia.edu
ABSTRACT Introduction: The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …