Výsledky vyhledávání - Boosting Machine Learning Algorithms

Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms.

Autoři: Tepakhan W Srisintorn W Penglong T a další

Zdroj: Scientific reports [Sci Rep] 2025 May 15; Vol. 15 (1), pp. 16917. Date of Electronic Publication: 2025 May 15.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Anemia, Iron-Deficiency*/diagnosis , Anemia, Iron-Deficiency*/blood , Machine Learning* , Thalassemia*/diagnosis , Thalassemia*/blood , Algorithms*, Humans ; Female ; Male ; Adult ; Erythrocyte Indices ; ROC Curve ; Middle Aged ; Diagnosis, Differential ; Adolescent ; Young Adult ; Boosting Machine Learning Algorithms ; Random Forest

XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease.

Autoři: Song X Shi J Zhu C a další

Zdroj: Geriatric nursing (New York, N.Y.) [Geriatr Nurs] 2025 Nov-Dec; Vol. 66 (Pt B), pp. 103609. Date of Electronic Publication: 2025 Sep 12.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

Výrazy ze slovníku MeSH: Patient Readmission*/statistics & numerical data , Coronary Disease*/therapy , Machine Learning* , Algorithms*, Humans ; Male ; Aged ; Female ; Retrospective Studies ; Aged, 80 and over ; China ; Length of Stay/statistics & numerical data ; ROC Curve ; Boosting Machine Learning Algorithms

Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics.

Autoři: Khodadadi F Taghizadeh F Hashemi Baghi A a další

Zdroj: Nanoscale [Nanoscale] 2025 Oct 02; Vol. 17 (38), pp. 22271-22290. Date of Electronic Publication: 2025 Oct 02.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE

Výrazy ze slovníku MeSH: Liposomes*/chemistry , Machine Learning* , Algorithms*, Drug Delivery Systems ; Solubility ; Cholesterol/chemistry ; Genetic Algorithms ; Random Forest ; Boosting Machine Learning Algorithms

Implementation of Machine Learning Algorithm with Extreme Gradient Boosting (XGBoost) Method In Hypertension Level Classification

Autoři: Zulkifli Rais Muhammad Fahmuddin S Saida Saida a další

Zdroj: Journal of Applied Science, Engineering, Technology, and Education. 7:126-136

Fine tuned CatBoost machine learning approach for early detection of cardiovascular disease through predictive modeling.

Autoři: Hamid M Hajjej F Alluhaidan AS a další

Zdroj: Scientific reports [Sci Rep] 2025 Aug 25; Vol. 15 (1), pp. 31199. Date of Electronic Publication: 2025 Aug 25.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Boosting Machine Learning Algorithms* , Cardiovascular Diseases*/diagnosis, Female ; Humans ; Male ; Algorithms ; Early Diagnosis ; Machine Learning ; Risk Assessment

Application of a Deep Learning–Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load

Autoři: Minsu Park Minhee Hwang Ji Won Lee a další

Zdroj: Journal of Computer Assisted Tomography. 49:288-296

Témata: Male, Adult, Aged, 80 and over, Computed Tomography Angiography, Contrast Media, Middle Aged, Pulmonary Artery, Radiation Dosage, Radiographic Image Enhancement, Deep Learning, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Pulmonary Embolism, Algorithms, Aged, Retrospective Studies, Iodine

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39438307

Early Detection of Student Dropout Risk via Hybrid Deep Learning and Gradient Boosting Algorithms

Autoři: Vaibhav Rajput Aryan Singh Subhash Chand Gupta

Zdroj: 2025 International Conference on Engineering, Technology & Management (ICETM). :1-6

A Robust Estimation of Blasting-Induced Flyrock Using Machine Learning Decision Tree Algorithms: Random Forest, Gradient Boosting Machine, and XGBoost

Autoři: Bouhannache Mohammed Cheniti Hamza

Zdroj: Mining, Metallurgy & Exploration. 42:1609-1624

A comparative evaluation of multiple machine learning approaches for forecasting dengue outbreaks in Bangladesh.

Autoři: Liu B Hossain MF Hossain S

Zdroj: Scientific reports [Sci Rep] 2025 Oct 14; Vol. 15 (1), pp. 35931. Date of Electronic Publication: 2025 Oct 14.

Způsob vydávání: Comparative Study; Evaluation Study; Journal Article; Comparative Study

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Dengue*/epidemiology , Machine Learning* , Algorithms*, Bangladesh/epidemiology ; Humans ; Weather ; Forecasting ; Temperature ; Rain ; Humidity ; Boosting Machine Learning Algorithms ; Support Vector Machine ; Multilayer Perceptrons ; Disease Outbreaks

Enhancing LoRaWAN Performance Using Boosting Machine Learning Algorithms Under Environmental Variations.

Autoři: Alkhayyal, Maram A. Mostafa, Almetwally M.

Zdroj: Sensors (14248220). Jul2025, Vol. 25 Issue 13, p4101. 21p.

Témata: *BOOSTING algorithms, *MACHINE learning, *WIDE area networks, *COMPUTER performance, *WEATHER, *MATHEMATICAL optimization

Prediction and Segmentation of Heart Disease Boosting-Based Machine Learning Algorithms

Autoři: Ashok Kumar Deepika Dhamija Vikrant Chole a další

Zdroj: Journal of Neonatal Surgery. 14:324-334

Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet.

Autoři: Ejiyi CJ Qin Z Nneji GU a další

Zdroj: Network (Bristol, England) [Network] 2025 Aug; Vol. 36 (3), pp. 716-748. Date of Electronic Publication: 2024 Apr 16.

Způsob vydávání: Journal Article; Review; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE

Výrazy ze slovníku MeSH: Boosting Machine Learning Algorithms* , Cardiovascular Diseases*/diagnosis , Cardiovascular Diseases*/epidemiology , Deep Learning* , Random Forest*, Humans ; Computer Simulation ; Data Mining/methods ; Early Diagnosis ; Machine Learning ; Risk Assessment/methods

Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms

Autoři: Wanicha Tepakhan Wisarut Srisintorn Tipparat Penglong a další

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-8 (2025)

Témata: Male, Adult, Erythrocyte Indices, Random Forest, Anemia, Iron-Deficiency, Adolescent, Science, Middle Aged, Article, Machine Learning, Diagnosis, Differential, Young Adult, Boosting Machine Learning Algorithms, ROC Curve, Iron deficiency anemia, Machine learning, Gradient boosting, Medicine, Humans, Thalassemia, Female, Algorithms, Random forest

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40374805
https://doaj.org/article/961e618ea02b4b1eaa0513cb3ebff1b7

From images to detection: Machine learning for blood pattern classification.

Autoři: Li Y Shen W

Zdroj: Forensic science international [Forensic Sci Int] 2025 Oct; Vol. 375, pp. 112558. Date of Electronic Publication: 2025 Jul 13.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE

Výrazy ze slovníku MeSH: Forensic Medicine*/methods , Blood Stains* , Image Processing, Computer-Assisted*/methods , Pattern Recognition, Automated* , Boosting Machine Learning Algorithms*, Crime Victims ; Humans

Diabetes Prediction Using Feature Selection Algorithms and Boosting-Based Machine Learning Classifiers.

Autoři: Rahman, Fatima Hossain, Sheyum Tiang, Jun-Jiat a další

Zdroj: Diagnostics (2075-4418). Oct2025, Vol. 15 Issue 20, p2622. 24p.

Témata: *MACHINE learning, *DIAGNOSIS of diabetes, *FEATURE selection, *BOOSTING algorithms, *DATA scrubbing, *DATA quality

Machine Learning Algorithms for Advanced Risk Stratification and Personalized Intervention Planning in Long-Term Care: A Focus on Gradient Boosting Machine (GBM) Algorithm

Autoři: Bhanu Prakash Manjappasetty Masagali

Zdroj: International Journal of Science and Research (IJSR). 14:219-223

Machine Learning Based Depression Prediction Using Gradient Boosting Algorithm

Autoři: Mohith Manoharan Satheesh R. Nagavibha Mishbah Pinto Chandy a další

Zdroj: Communications in Computer and Information Science ISBN: 9783032007926

DLGB-Olive: Using Deep Learning-Based Feature Extraction Followed by Gradient Boosting Classification Algorithms for Early Diagnosis of Agricultural Diseases Observed in Olive Groves

Autoři: Uğur Şevik Fatih Serdar Aydemir

Advanced loan default prediction models using Machine Learning boosting algorithms

Autoři: Chi Ton C Nguyen

Zdroj: Journal of High School Science. 9

Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms.

Autoři: Guillen, Maria D. Aparicio, Juan Esteve, Miriam

Zdroj: International Journal of Information Technology & Decision Making. Nov2025, Vol. 24 Issue 8, p2435-2464. 30p.

Témata: *DECISION making, BOOSTING algorithms, MACHINE learning, HEURISTIC algorithms, RESEARCH evaluation, DATA envelopment analysis