Machine learning-based clinical decision support using laboratory data

HC Çubukçu, Dİ Topcu, S Yenice - Clinical Chemistry and Laboratory …, 2024 - degruyter.com
Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

Advancing pancreatic cancer diagnosis with artificial neural networks: current research and future prospects

K Upreti, MS Nasir, MS Alam, FI Shahi… - … and Control Systems …, 2023 - ieeexplore.ieee.org
With the use of medical image analysis, Artificial Neural Networks (ANNs) have shown
effective results in the early detection and treatment of pancreatic cancer. A summary of …

[HTML][HTML] Discovering the symptom patterns of COVID-19 from recovered and deceased patients using Apriori association rule mining

M Dehghani, Z Yazdanparast - Informatics in Medicine Unlocked, 2023 - Elsevier
The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and
causing significant social and economic disruptions. In order to optimize decision-making …

Combined weighted feature extraction and deep learning approach for chronic obstructive pulmonary disease classification using electromyography

AB Kanwade, MP Sardey, SA Panwar… - International Journal of …, 2024 - Springer
The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including
Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it …

[HTML][HTML] Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus

PK Dabla, K Upreti, D Shrivastav, V Mehta… - World Journal of …, 2024 - ncbi.nlm.nih.gov
BACKGROUND It is increasingly common to find patients affected by a combination of type 2
diabetes mellitus (T2DM) and coronary artery disease (CAD), and studies are able to …

Discovering patterns of live birth occurrence before in vitro fertilisation treatment using association rule mining

K Upreti, D Singh, A Singh, P Vats… - International …, 2023 - inderscienceonline.com
According to estimates, in-vitro fertilisation (IVF) is credited for the delivery of over 9 million
children globally, constituting it to be a highly remarkable as well as commercialised …

Role of Machine Learning in the Analysis of Mental Health Data: An Empirical Approach

SG Hashmi, FI Shahi, KA Qidwai, M Naser… - … on Emerging Trends …, 2023 - Springer
As funding for mental health research has grown, so too has the body of knowledge about
how best to address and alleviate issues related to mental health. However, there is still a …

[HTML][HTML] Full Html

AK Arora, J Parashar, K Upreti, B Rao - apfcb.org
CT, fMRI, PET, as well as SPECT. Different AI-situated devices have to modernize clinical
picture assessment and further create robotized picture interpretation. Modern medical …