Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …
Artificial intelligence for personalized genetics and new drug development: benefits and cautions
C Gallo - Bioengineering, 2023 - mdpi.com
As the global health care system grapples with steadily rising costs, increasing numbers of
admissions, and the chronic defection of doctors and nurses from the profession …
admissions, and the chronic defection of doctors and nurses from the profession …
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
Stroke occurs when a brain's blood artery ruptures or the brain's blood supply is interrupted.
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …
Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers
V Vivek Khanna, K Chadaga, N Sampathila… - Cogent …, 2024 - Taylor & Francis
Gestational diabetes is characterized by hyperglycemia diagnosed during pregnancy. High
blood sugar levels are likely to affect both the mother and child. This disease frequently goes …
blood sugar levels are likely to affect both the mother and child. This disease frequently goes …
[HTML][HTML] The impact of artificial intelligence on information audit usage: Evidence from developing countries
The present study aims to explore the factors influencing the utilization of Information audit in
the context of Egypt and Jordan, with specific attention given to the role of artificial …
the context of Egypt and Jordan, with specific attention given to the role of artificial …
Prediction of Urinary Tract Infection in IoT-Fog Environment for Smart Toilets Using Modified Attention-Based ANN and Machine Learning Algorithms
UTI (Urinary Tract Infection) has become common with maximum error rates in diagnosis.
With the current progress on DM (Data Mining) based algorithms, several research projects …
With the current progress on DM (Data Mining) based algorithms, several research projects …
Artificial intelligence in routine blood tests
MA Santos-Silva, N Sousa, JC Sousa - Frontiers in Medical …, 2024 - frontiersin.org
Routine blood tests drive diagnosis, prognosis, and monitoring in traditional clinical decision
support systems. As a routine diagnostic tool with standardized laboratory workflows, clinical …
support systems. As a routine diagnostic tool with standardized laboratory workflows, clinical …
Prediction of Health Risk Based on Multi-Level IOT Data Using Decision Trees
This research paper presents a novel decision tree-based method for predicting health
hazards based on multilevel Internet of Things (IoT). This study's primary objective is to …
hazards based on multilevel Internet of Things (IoT). This study's primary objective is to …
DS-CNN: Deep Convolutional Neural Networks for Facial Emotion Detection in Children with Down Syndrome during Dolphin-Assisted Therapy
JJ Moreno Escobar, O Morales Matamoros… - Healthcare, 2023 - mdpi.com
In Mexico, according to data from the General Directorate of Health Information (2018), there
is an annual incidence of 689 newborns with Trisomy 21, well-known as Down Syndrome …
is an annual incidence of 689 newborns with Trisomy 21, well-known as Down Syndrome …