A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state

J Huang, Y Peng, L Hu - Expert Systems with Applications, 2024 - Elsevier
The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …

Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison

MI Hossain, MH Maruf, MAR Khan, FS Prity… - Iran Journal of Computer …, 2023 - Springer
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …

Towards improving decision tree induction by combining split evaluation measures

O Loyola-González, E Ramírez-Sáyago… - Knowledge-Based …, 2023 - Elsevier
Explainability is essential for users to effectively understand, trust, and manage powerful
artificial intelligence solutions. Decision trees are one of the pioneer explanaible artificial …

An effective approach for early liver disease prediction and sensitivity analysis

MAR Khan, F Afrin, FS Prity, I Ahammad… - Iran Journal of Computer …, 2023 - Springer
The liver is one of the most vital organs of the human body. Even when partially injured, it
functions normally. Therefore, detecting liver diseases at the early stages is challenging …

An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation

MS Jamshidi Gohari, M Emami Niri, S Sadeghnejad… - Scientific Reports, 2023 - nature.com
The lithology log, an integral component of the master log, graphically portrays the
encountered lithological sequence during drilling operations. In addition to offering real-time …

[PDF][PDF] RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

A Rehman, T Alam, M Mujahid, FS Alamri… - PeerJ Computer …, 2023 - peerj.com
The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain
cells die if blood is not supplied to them, resulting in body disability. The timely identification …

Machine-Learning-Based Approach To Assessing Water Quality in a Specific Basin: The Case of Wujingang Basin

S Zhang, R He, Q Wang, Z Qu, J Wang, Y Wang… - ACS ES&T …, 2023 - ACS Publications
Multidimensional indicators of surface water are key to assessing the water quality. Cost and
time could be saved if surface water can be accurately assessed by fewer indicators …

An IoT Real-Time Potable Water Quality Monitoring and Prediction Model Based on Cloud Computing Architecture

R Wiryasaputra, CY Huang, YJ Lin, CT Yang - Sensors, 2024 - mdpi.com
In order to achieve the Sustainable Development Goals (SDG), it is imperative to ensure the
safety of drinking water. The characteristics of each drinkable water, encompassing taste …

Machine learning-based screening solution for COVID-19 cases investigation: socio-demographic and behavioral factors analysis and COVID-19 Detection

KMA Uddin, FS Prity, M Tasnim, SN Jannat… - Human-Centric …, 2023 - Springer
The COVID-19 pandemic has unleashed an unprecedented global crisis, releasing a wave
of illness, mortality, and economic disarray of unparalleled proportions. Numerous societal …

Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review

NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …