Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Estimating construction waste generation in the Greater Bay Area, China using machine learning
Reliable construction waste generation data is a prerequisite for any evidence-based waste
management effort, but such data remains scarce in many developing economies owing to …
management effort, but such data remains scarce in many developing economies owing to …
Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches
M Kannangara, R Dua, L Ahmadi, F Bensebaa - Waste management, 2018 - Elsevier
The main objective of this study was to develop models for accurate prediction of municipal
solid waste (MSW) generation and diversion based on demographic and socio-economic …
solid waste (MSW) generation and diversion based on demographic and socio-economic …
The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning
N Taoufik, W Boumya, M Achak, H Chennouk… - Science of the Total …, 2022 - Elsevier
During the last few years, important advances have been made in big data exploration,
complex pattern recognition and prediction of complex variables. Machine learning (ML) …
complex pattern recognition and prediction of complex variables. Machine learning (ML) …
Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection, synthetic minority over sampling technique (SMOTE), and …
As the risk of diseases diabetes and hypertension increases, machine learning algorithms
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
Development of disease prediction model based on ensemble learning approach for diabetes and hypertension
Early diseases prediction plays an important role for improving healthcare quality and can
help individuals avoid dangerous health situations before it is too late. This paper proposes …
help individuals avoid dangerous health situations before it is too late. This paper proposes …
Application of hyperspectral imaging technology in the rapid identification of microplastics in farmland soil
W Ai, S Liu, H Liao, J Du, Y Cai, C Liao, H Shi… - Science of The Total …, 2022 - Elsevier
Microplastics (MPs) are emerging environmental pollutants and their accumulation in the
soil can adversely affect the soil biota. This study aims to employ hyperspectral imaging …
soil can adversely affect the soil biota. This study aims to employ hyperspectral imaging …
Predicting hypertension using machine learning: Findings from Qatar Biobank Study
LA AlKaabi, LS Ahmed, MF Al Attiyah… - Plos one, 2020 - journals.plos.org
Background and objective Hypertension, a global burden, is associated with several risk
factors and can be treated by lifestyle modifications and medications. Prediction and early …
factors and can be treated by lifestyle modifications and medications. Prediction and early …
hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm
Background and aims Coronary heart disease (CHD) is an important public health problem
globally. Algorithms incorporating the assessment of clinical biomarkers together with …
globally. Algorithms incorporating the assessment of clinical biomarkers together with …