Výsledky vyhledávání - "machine learning decision tree algorithm"

Application of Machine Learning Decision Tree Algorithm Based on Big Data in Intelligent Procurement

Zdroj: Journal of Social Science and Humanities.

Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU

Autoři: Elhazmi, Alyaa Al-Omari, Awad Sallam, Hend a další

Přispěvatelé: Elhazmi, Alyaa Al-Omari, Awad Sallam, Hend a další

Zdroj: J Infect Public Health
Journal of Infection and Public Health, Vol 15, Iss 7, Pp 826-834 (2022)

Témata: Adult, 0301 basic medicine, Critical Illness, Infectious and parasitic diseases, RC109-216, Cohort Studies, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, SARS-Cov2, Decision tree, Humans, Prospective Studies, Pandemics, Retrospective Studies, Predictors, SARS-CoV-2, Decision Trees, COVID-19, 3. Good health, Intensive Care Units, ICU, Original Article, Public aspects of medicine, RA1-1270, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35759808
https://doaj.org/article/6ed5b710975a4513b356a9778ffd2978

Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity

Autoři: Jansen N. Seheult Michelle N. Stram Lydia Contis a další

Zdroj: Journal of Clinical Microbiology. 61

Témata: Machine Learning, ROC Curve, Urinary Tract Infections, Decision Trees, Humans, Middle Aged, Urinalysis, Urine, 6. Clean water, 3. Good health, Retrospective Studies

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37227272

Predictors of Mortality Using Machine Learning Decision Tree Algorithm in Critically Ill Adult Patients with COVID-19 Admitted to the ICU

Autoři: Alyaa Elhazmi Awad Alomari Hend sallam a další

Témata: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Přístupová URL adresa: https://www.researchsquare.com/article/rs-961542/latest.pdf
https://www.researchsquare.com/article/rs-961542/v1
https://www.researchsquare.com/article/rs-961542/v1.pdf?c=1635535252000

Real-time implementation of an IoT-based intelligent source allocation system using machine learning technique in a commercial building.

Autoři: Kumar, V. Suresh Parameswari, S. Raja, S. Charles a další

Zdroj: Electrical Engineering; Dec2024, Vol. 106 Issue 6, p6815-6835, 21p

Témata: SUPPLY & demand, ARTIFICIAL intelligence, MACHINE learning, DECISION trees, INTERNET of things, COMMERCIAL buildings

Most Occurred Faults in Chilled Water System: An Empirical Predictive Maintenance 4.0 Study.

Autoři: Almobarek, Malek Mendibil, Kepa

Zdroj: IEOM South American Conference Proceedings; 5/7/2024, p932-938, 7p

Témata: CHILLED water systems, COOLING towers, ENGINEERING management, WATER levels, DECISION trees

Regional multi-objective calibration for distributed hydrological modelling: a decision tree based approach.

Autoři: Pesce, Matteo Viglione, Alberto von Hardenberg, Jost a další

Zdroj: Proceedings of the International Association of Hydrological Sciences (PIAHS); 2024, Issue 385, p65-69, 5p

Témata: DECISION trees, HYDROLOGIC models, CALIBRATION, SNOW cover, MACHINE learning, MODELS & modelmaking

Amplitude scintillation detection with geodetic GNSS receivers leveraging machine learning decision tree.

Autoři: Li, Wang Jiang, Yiping Ji, Hongyuan a další

Zdroj: Satellite Navigation; 6/3/2024, Vol. 5 Issue 1, p1-11, 11p

Témata: DECISION trees, GLOBAL Positioning System, GEODETIC techniques

Optimizing the Layout of Service Facilities for Older People Based on POI Data and Machine Learning: Guangzhou City as an Example.

Autoři: Feng, Huicheng Tang, Xiaoxiang Zou, Cheng

Zdroj: Land (2012); May2024, Vol. 13 Issue 5, p700, 15p

Témata: OLDER people, MACHINE learning, CITY dwellers, CITIES & towns, PLANT layout

Geografický termín: GUANGZHOU (China), CHINA

A novel approach of detection and control of the heavy metals in marine foods using machine learning.

Autoři: Vanitha, U. Shruthi, T. K. Hari Hemalatha, A. a další

Zdroj: AIP Conference Proceedings; 2023, Vol. 2914 Issue 1, p1-7, 7p

Témata: HEAVY metals, MACHINE learning, FOODBORNE diseases, FOOD poisoning, METAL detectors

Most Occurred Faults in Chilled Water System: An Empirical Predictive Maintenance 4.0 Study.

Autoři: Almobarek, Malek Mendibil, Kepa

Zdroj: Proceedings of the International Conference on Industrial Engineering & Operations Management; 7/18/2023, p672-678, 7p

Témata: CHILLED water systems, INTERNET of things, MANUFACTURING processes, SUPPLY chain management, TOTAL quality management, MACHINE learning

Regional multi-objective calibration for distributed hydrological modelling: a decision tree based approach

Autoři: Cudennec, C. Grimaldi, S. Pesce, M. a další

Zdroj: ISSN: 2199-899X

Témata: UPH 19, distributed hydrological modelling, parameter regionalization

URL: https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29546

Intelligent prediction of RBC demand in trauma patients using decision tree methods.

Autoři: Feng, Yan-Nan Xu, Zhen-Hua Liu, Jun-Ting a další

Zdroj: Military Medical Research; 5/24/2021, Vol. 8 Issue 1, p1-12, 12p

Témata: VITAL signs, RED blood cell transfusion, WOUNDS & injuries, DECISION trees, MACHINE learning

A Two-Gene Signature for Tuberculosis Diagnosis in Persons With Advanced HIV.

Autoři: Kulkarni, Vandana Queiroz, Artur T. L. Sangle, Shashi a další

Zdroj: Frontiers in Immunology; 2/22/2021, Vol. 11, pN.PAG-N.PAG, 10p

Témata: TUBERCULOSIS, RECEIVER operating characteristic curves, GENES, HIV, TOLL-like receptors, CONTACT tracing, HIV status

Geografický termín: UGANDA, INDIA

Prediction of physical activity types based on healthcare wearable devices using optimized machine learning methods.

Autoři: Si, Wei

Zdroj: Signal, Image & Video Processing; 2025, Vol. 19 Issue 13, p1-16, 16p

基于决策树构建白内障病人术后感染性 眼内炎发生风险预测模型. (Chinese)

Alternate Title: A risk prediction model for postoperatious infectious endophthalmitis in cataract patients was constructed based on decision tree. (English)

Autoři: 张伟利 石亚楠

Zdroj: Chinese Evidence-based Nursing; 2025, Vol. 11 Issue 20, p4264-4268, 5p

Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms.

Autoři: Hassan, Raouf Kazemi, Mohammad Reza

Zdroj: Scientific Reports; 10/10/2025, Vol. 15 Issue 1, p1-19, 19p

Témata: HYDROGEN production, MACHINE learning, GREEN fuels, CONVOLUTIONAL neural networks, PREDICTION models, SENSITIVITY analysis, HIGH temperature electrolysis, RANDOM forest algorithms

Efficacy assessment of ticagrelor versus clopidogrel in Chinese patients with acute coronary syndrome undergoing percutaneous coronary intervention by data mining and machine‐learning decision tree approaches.

Autoři: Xue, Ying Hu, Ziheng Jing, Yankang a další

Zdroj: Journal of Clinical Pharmacy & Therapeutics; Oct2020, Vol. 45 Issue 5, p1076-1086, 11p

Témata: ADENOSINES, ALGORITHMS, CONFIDENCE intervals, DECISION trees, HEMORRHAGE, MACHINE learning, HEALTH outcome assessment, SURVIVAL analysis (Biometry), DATA mining, RETROSPECTIVE studies, CLOPIDOGREL, PATIENT readmissions, ACUTE coronary syndrome, DESCRIPTIVE statistics, KAPLAN-Meier estimator, ODDS ratio, PERCUTANEOUS coronary intervention, PHARMACODYNAMICS

Agritech Revolution: Smart Agriculture System Using IOT and Machine Learning

Autoři: Sakshi Shinde

Zdroj: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

Machine learning to predict bacteriuria in the emergency department.

Autoři: Sheele, Johnathan M. Campbell, Ronna L. Jones, Derick D.

Zdroj: Scientific Reports; 8/24/2025, Vol. 15 Issue 1, p1-11, 11p

Témata: BACTERIURIA, URINARY tract infections, LOGISTIC regression analysis, ENSEMBLE learning, ANTIBIOTICS, HOSPITAL emergency services, PREDICTION models, MACHINE learning