Suchergebnisse - "Random Forest"

[Weighted random forest for estimating individualized treatment rules].

Autoren: Zhao ZY Lu MY Shao F et al.

Quelle: Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2025 Aug 10; Vol. 46 (8), pp. 1431-1437.

Publikationsart: English Abstract; Journal Article

Info zur Zeitschrift: Publisher: Zhonghua yi xue hui; Zhongguo yi xue ke xue yuan Liu xing bing xue wei sheng wu xue yan jiu suo Country of Publication: China NLM ID: 8208604 Publication Model: Print Cited Medium: Print ISSN: 0254-6450 (Print) Linking ISSN: 02546450 NLM ISO Abbreviation: Zhonghua Liu Xing Bing Xue Za Zhi Subsets: MEDLINE

MeSH-Schlagworte: Random Forest* , Precision Medicine*/methods , Decision Making, Computer-Assisted* , Decision Support Techniques*, Humans

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

Autoren: Ejiyi CJ Qin Z Nneji GU et al.

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

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

Info zur Zeitschrift: 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

MeSH-Schlagworte: 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

Man versus Machine Learning Revisited.

Autoren: Zhang, Yingguang Zhu, Yandi Linnainmaa, Juhani T

Quelle: Review of Financial Studies. Dec2025, Vol. 38 Issue 12, p3768-3790. 23p.

Schlagwörter: *FINANCIAL analysts, *FORECASTING, *RATE of return on stocks, RANDOM forest algorithms, MACHINE learning

Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction.

Autoren: Wang C Zhang R Zhang J et al.

Quelle: Scientific reports [Sci Rep] 2025 Mar 12; Vol. 15 (1), pp. 8594. Date of Electronic Publication: 2025 Mar 12.

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: Random Forest* , Schizophrenia*/classification , Schizophrenia*/diagnosis , Schizophrenia*/diagnostic imaging , Schizophrenia*/drug therapy , Antipsychotic Agents*/therapeutic use, Treatment Outcome ; Magnetic Resonance Imaging/methods ; Severity of Illness Index ; Brain/diagnostic imaging ; Brain/drug effects ; Sensitivity and Specificity ; Reproducibility of Results ; Neurons/drug effects ; Neuroimaging/methods ; Humans ; Male ; Female ; Young Adult ; Adult ; Middle Aged ; Image Interpretation, Computer-Assisted

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

Autoren: Cui G Wang C

Quelle: PloS one [PLoS One] 2025 Feb 13; Vol. 20 (2), pp. e0317414. Date of Electronic Publication: 2025 Feb 13 (Print Publication: 2025).

Publikationsart: Comparative Study; Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-Schlagworte: Track and Field*/physiology , Machine Learning* , Pattern Recognition, Automated*/methods , Random Forest*, Humans ; Running/physiology ; Computer Simulation ; Biomechanical Phenomena/physiology ; Athletes ; Convolutional Neural Networks ; Support Vector Machine

Process parameter optimization model for tablet compression based on random forest and proximal policy optimization algorithm.

Autoren: Du J Wang T Zhu W et al.

Quelle: International journal of pharmaceutics [Int J Pharm] 2025 Dec 25; Vol. 686, pp. 126310. Date of Electronic Publication: 2025 Oct 26.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7804127 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3476 (Electronic) Linking ISSN: 03785173 NLM ISO Abbreviation: Int J Pharm Subsets: MEDLINE

MeSH-Schlagworte: Tablets*/chemistry , Algorithms* , Drug Compounding*/methods , Technology, Pharmaceutical*/methods, Random Forest

RFBGCpred: A Random forest based tool for prediction of biosynthetic gene clusters.

Autoren: Madival SD Mishra DC Chaturvedi KK et al.

Quelle: Biochimica et biophysica acta. General subjects [Biochim Biophys Acta Gen Subj] 2025 Dec; Vol. 1869 (12), pp. 130859. Date of Electronic Publication: 2025 Oct 08.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101731726 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8006 (Electronic) Linking ISSN: 03044165 NLM ISO Abbreviation: Biochim Biophys Acta Gen Subj Subsets: MEDLINE

MeSH-Schlagworte: Multigene Family* , Machine Learning* , Biosynthetic Pathways*/genetics , Computational Biology*/methods , Software*, Databases, Genetic ; Algorithms ; Random Forest

Prioritization of patients at risk of heart attack using a novel full-objective ITARA based on Random Forest and Decision tree.

Autoren: Amini N Hashemkhani Zolfani S Cavallaro F

Quelle: Scientific reports [Sci Rep] 2025 Nov 27; Vol. 15 (1), pp. 42512. Date of Electronic Publication: 2025 Nov 27.

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: Decision Trees* , Myocardial Infarction*/diagnosis, Humans ; Machine Learning ; Middle Aged ; Male ; Female ; Aged ; Risk Assessment/methods ; Risk Factors ; Random Forest

Development and comparison of OCT-based prediction models for diabetic retinopathy using LASSO and random forest.

Autoren: Tuerhongjiang M Li X Kalibinuer A et al.

Quelle: Medicine [Medicine (Baltimore)] 2025 Nov 21; Vol. 104 (47), pp. e45901.

Publikationsart: Journal Article; Comparative Study

Info zur Zeitschrift: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE

MeSH-Schlagworte: Diabetic Retinopathy*/etiology , Diabetic Retinopathy*/diagnostic imaging , Diabetic Retinopathy*/diagnosis , Tomography, Optical Coherence*/methods , Diabetes Mellitus, Type 2*/complications, Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; ROC Curve ; Algorithms ; Predictive Value of Tests ; Logistic Models ; Risk Factors ; Risk Assessment/methods ; Random Forest

Machine learning-based groundwater potential mapping and factor analysis in tropical lateritic terrains using self-organizing maps and random forest.

Autoren: Appukuttan A Reghunath R

Quelle: Environmental monitoring and assessment [Environ Monit Assess] 2025 Nov 15; Vol. 197 (12), pp. 1340. Date of Electronic Publication: 2025 Nov 15.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

MeSH-Schlagworte: Groundwater*/chemistry , Environmental Monitoring*/methods , Machine Learning*, India ; Tropical Climate ; Factor Analysis, Statistical ; Random Forest

Geographically weighted random forest fusing multi-source environmental covariates for spatial prediction of soil heavy metals.

Autoren: Qin Z Peng Q Jin C et al.

Quelle: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2025 Nov 15; Vol. 385, pp. 127135. Date of Electronic Publication: 2025 Sep 17.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 8804476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6424 (Electronic) Linking ISSN: 02697491 NLM ISO Abbreviation: Environ Pollut Subsets: MEDLINE

MeSH-Schlagworte: Metals, Heavy*/analysis , Soil Pollutants*/analysis , Environmental Monitoring*/methods, China ; Soil/chemistry ; Random Forest

Hemodynamic determinants of postoperative neurocognitive impairment using Random Forest analysis and partial dependence plots.

Autoren: Kiziltas FS Ozkan O Toptan F et al.

Quelle: Scientific reports [Sci Rep] 2025 Nov 13; Vol. 15 (1), pp. 39841. Date of Electronic Publication: 2025 Nov 13.

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: Coronary Artery Bypass*/adverse effects , Hemodynamics*/physiology , Cognitive Dysfunction*/etiology , Cognitive Dysfunction*/physiopathology , Postoperative Cognitive Complications*/etiology , Postoperative Cognitive Complications*/physiopathology , Postoperative Complications*/physiopathology , Postoperative Complications*/etiology, Humans ; Male ; Female ; Middle Aged ; Aged ; Machine Learning ; Cardiopulmonary Bypass/adverse effects ; Blood Pressure ; Random Forest

Combining random forest and XGBoost models for source apportionment and health risk assessments of heavy metals in suburban farmland soils.

Autoren: Ding WQ Sawut R Rixit G et al.

Quelle: Ecotoxicology and environmental safety [Ecotoxicol Environ Saf] 2025 Nov 01; Vol. 306, pp. 119357. Date of Electronic Publication: 2025 Nov 07.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7805381 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1090-2414 (Electronic) Linking ISSN: 01476513 NLM ISO Abbreviation: Ecotoxicol Environ Saf Subsets: MEDLINE

MeSH-Schlagworte: Soil Pollutants*/analysis , Soil Pollutants*/toxicity , Metals, Heavy*/analysis , Metals, Heavy*/toxicity , Environmental Monitoring*/methods, Risk Assessment ; China ; Humans ; Farms ; Soil/chemistry ; Agriculture ; Random Forest ; Boosting Machine Learning Algorithms

Random Forest Machine Learning Matches Human Expert Accuracy in Trauma Severity Scoring.

Autoren: Laing GL Bruce JL Bekker W et al.

Quelle: World journal of surgery [World J Surg] 2025 Nov; Vol. 49 (11), pp. 3242-3247. Date of Electronic Publication: 2025 Sep 24.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley Country of Publication: United States NLM ID: 7704052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2323 (Electronic) Linking ISSN: 03642313 NLM ISO Abbreviation: World J Surg Subsets: MEDLINE

MeSH-Schlagworte: Machine Learning* , Injury Severity Score* , Wounds and Injuries*/diagnosis , Abbreviated Injury Scale* , Trauma Severity Indices*, Humans ; Registries ; Algorithms ; Male ; Female ; Adult ; Sensitivity and Specificity ; Random Forest

Artificial intelligence strategies based on random forests for detecting ischemia-reperfusion injury changes in kidney tissue during intravital imaging.

Autoren: Pantic I Paunovic Pantic J Valjarevic S et al.

Quelle: Scientific reports [Sci Rep] 2025 Oct 24; Vol. 15 (1), pp. 37334. Date of Electronic Publication: 2025 Oct 24.

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: Reperfusion Injury*/diagnostic imaging , Reperfusion Injury*/pathology , Reperfusion Injury*/diagnosis , Kidney*/diagnostic imaging , Kidney*/pathology , Kidney*/blood supply , Intravital Microscopy*/methods , Artificial Intelligence*, Animals ; Rats ; Male ; Disease Models, Animal ; Image Processing, Computer-Assisted/methods ; Random Forest

A novel data fusion strategy of LC-MS and NMR technologies using random forest model for emodin hepatotoxic metabolomics research.

Autoren: Zhang Y Wang H Mao R et al.

Quelle: Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2025 Oct 15; Vol. 264, pp. 116990. Date of Electronic Publication: 2025 May 27.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Science Country of Publication: England NLM ID: 8309336 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-264X (Electronic) Linking ISSN: 07317085 NLM ISO Abbreviation: J Pharm Biomed Anal Subsets: MEDLINE

MeSH-Schlagworte: Emodin*/toxicity , Metabolomics*/methods , Liver*/drug effects , Liver*/metabolism, Animals ; Magnetic Resonance Spectroscopy/methods ; Chromatography, Liquid/methods ; Principal Component Analysis ; Mass Spectrometry/methods ; Least-Squares Analysis ; Rats ; Algorithms ; Neural Networks, Computer ; Decision Trees ; Male ; Support Vector Machine ; Liquid Chromatography-Mass Spectrometry ; Random Forest

Enhanced Detection and Segmentation of Sit Phases in Patients with Parkinson's Disease Using a Single SmartWatch and Random Forest Algorithms.

Autoren: Goubault E Martin C Duval C et al.

Quelle: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Oct 03; Vol. 25 (19). Date of Electronic Publication: 2025 Oct 03.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

MeSH-Schlagworte: Parkinson Disease*/physiopathology , Wearable Electronic Devices* , Sitting Position*, Humans ; Algorithms ; Male ; Female ; Aged ; Middle Aged ; Activities of Daily Living ; Accelerometry ; Ankle ; Random Forest

Water Quality Assessment Using the Random Forest Classification Model.

Autoren: Bouchraki F Hamchaoui S Ayad LL et al.

Quelle: Water environment research : a research publication of the Water Environment Federation [Water Environ Res] 2025 Oct; Vol. 97 (10), pp. e70197.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley Subscription Services on behalf of The Water Environment Foundation Country of Publication: United States NLM ID: 9886167 Publication Model: Print Cited Medium: Internet ISSN: 1554-7531 (Electronic) Linking ISSN: 10614303 NLM ISO Abbreviation: Water Environ Res Subsets: MEDLINE

MeSH-Schlagworte: Water Quality* , Environmental Monitoring*/methods , Models, Theoretical*, Random Forest

Factors Influencing Nurses' Intention to Report Adverse Nursing Events in a Tertiary Hospital Using a Random Forest Model.

Autoren: Chen Y Ding W Xu J et al.

Quelle: Asian nursing research [Asian Nurs Res (Korean Soc Nurs Sci)] 2025 Oct; Vol. 19 (4), pp. 347-353. Date of Electronic Publication: 2025 Jun 24.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: Korea (South) NLM ID: 101321326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2093-7482 (Electronic) Linking ISSN: 19761317 NLM ISO Abbreviation: Asian Nurs Res (Korean Soc Nurs Sci) Subsets: MEDLINE

MeSH-Schlagworte: Nursing Staff, Hospital*/psychology , Nursing Staff, Hospital*/statistics & numerical data , Intention* , Attitude of Health Personnel* , Medical Errors*, Humans ; Tertiary Care Centers ; Female ; Adult ; China ; Male ; Surveys and Questionnaires ; Middle Aged ; Random Forest

Predictors of Sleep Latency From the Multiple Sleep Latency Test: A Random Forest Investigation in a Community Sample.

Autoren: Cook JD Barata F Plante DT et al.

Quelle: Journal of sleep research [J Sleep Res] 2025 Oct; Vol. 34 (5), pp. e70073. Date of Electronic Publication: 2025 Apr 21.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Published on behalf of the European Sleep Research Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 9214441 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2869 (Electronic) Linking ISSN: 09621105 NLM ISO Abbreviation: J Sleep Res Subsets: MEDLINE

MeSH-Schlagworte: Sleep Latency*/physiology , Machine Learning*, Humans ; Male ; Female ; Middle Aged ; Polysomnography ; Cross-Sectional Studies ; Longitudinal Studies ; Wisconsin ; Aged ; Circadian Rhythm/physiology ; Random Forest