Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

B Wahl, A Cossy-Gantner, S Germann… - BMJ global health, 2018 - gh.bmj.com
The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While
there are now many AI applications that have been deployed in high-income country …

[HTML][HTML] Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

H Thakkar, V Shah, H Yagnik, M Shah - Clinical eHealth, 2021 - Elsevier
Diabetes is an ailment in which glucose level increase in at high rates in blood due to body's
inability to metabolize it. This happens when body does not produce sufficient amount of …

XGBoost model for chronic kidney disease diagnosis

A Ogunleye, QG Wang - IEEE/ACM transactions on …, 2019 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world
population and 15 percent of the South African population. The early and cheap diagnosis of …

[PDF][PDF] Implementation of machine learning model to predict heart failure disease

FS Alotaibi - … Journal of Advanced Computer Science and …, 2019 - pdfs.semanticscholar.org
In the current era, Heart Failure (HF) is one of the common diseases that can lead to
dangerous situation. Every year almost 26 million of patients are affecting with this kind of …

[HTML][HTML] EAGA-MLP—an enhanced and adaptive hybrid classification model for diabetes diagnosis

S Mishra, HK Tripathy, PK Mallick, AK Bhoi… - Sensors, 2020 - mdpi.com
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent
times, medical data mining is gaining popularity in complex healthcare problems based …

A comprehensive review on smart decision support systems for health care

MWL Moreira, JJPC Rodrigues, V Korotaev… - IEEE Systems …, 2019 - ieeexplore.ieee.org
Medical activity requires responsibility not only based on knowledge and clinical skills, but
also in managing a vast amount of information related to patient care. It is through the …

A fuzzy inference-fuzzy analytic hierarchy process-based clinical decision support system for diagnosis of heart diseases

S Nazari, M Fallah, H Kazemipoor… - Expert Systems with …, 2018 - Elsevier
Many organizations and institutions are implementing accurate and practical tools to
accelerate decision-making process. In this regard, hospitals and healthcare centers are not …

Performance evaluation of classification methods with PCA and PSO for diabetes

DK Choubey, P Kumar, S Tripathi, S Kumar - Network Modeling Analysis …, 2020 - Springer
Diabetes has become one of the major health concerns for the modern day population. This
can be attributed to a number of factors such as unhealthy lifestyle, meager diet, genetics …

[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework

S Bashir, U Qamar, FH Khan - Journal of biomedical informatics, 2016 - Elsevier
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …

A web-based clinical decision support system for gestational diabetes: Automatic diet prescription and detection of insulin needs

E Caballero-Ruiz, G García-Sáez, M Rigla… - International journal of …, 2017 - Elsevier
Background The growth of diabetes prevalence is causing an increasing demand in health
care services which affects the clinicians' workload as medical resources do not grow at the …