Search Results - "Boosting Machine Learning Algorithms"

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

Jiang Y; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Wang HW; Shanxi Medical University, Taiyuan, 030000, China., Tian FY; Department of Hospital Infection, The Second Hospital of Shanxi Medical University, Taiyuan, 030000, China., Guo Y; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China., Wang XM; Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China. shiwang_0405@qq.com.

Journal Article , 2025

MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects.

Yang XH, Liao HJ, Sun PY, Ma J, Wang B, He Y, Xue LG, Su LM, Wang BJ

Journal Article , 2025

Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.

Schindele A; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Krebold A; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Heiß U; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Nimptsch K; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Pfaehler E; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Berr C; Internal Medicine I, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Bundschuh RA; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Wendler T; Diagnostic and Interventional Radiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Kertels O; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Tran-Gia J; Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr. 6, Würzburg 97080, Germany., Pfob CH; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Lapa C; Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany. Electronic address: Constantin.lapa@uk-augsburg.de.

Journal Article , 2025

Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model.

Cao K; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China.; Key Laboratory of Intelligent Technology of Chemical Process Industry in Liaoning Province, Shenyang, 110142, China., Liu C; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Yang S; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Zhang Y; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China., Li L; Shenyang Maternity and Child Health Hospital, Shenyang, 110014, China., Jung H; Computer Engineering Dept, Paichai University, Daejeon, 35345, Korea. hkjung@pcu.ac.kr., Zhang S; College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China. syzs1210@163.com.

Evaluation Study; Journal Article , 2025

Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm.

Caramês ETS; Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, 05508-900 São Paulo, Brazil., de Moraes-Neto VF; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Bertozzi BG; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., da Silva LP; Institute of Chemistry, State University of Campinas, 13083-970 Campinas, São Paulo, Brazil., Villa JEL; Institute of Chemistry, State University of Campinas, 13083-970 Campinas, São Paulo, Brazil. Electronic address: jelv@unicamp.br., Pallone JAL; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Rocha LO; Department of Food Science, School of Food Engineering, State University of Campinas, 13083-862 Campinas, São Paulo, Brazil., Correa B; Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, 05508-900 São Paulo, Brazil. Electronic address: correabe@usp.br.

Journal Article; Evaluation Study , 2025

Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model.

Turnwald J; Centre for Rehabilitation and Sports Medicine, University Hospital Bern, Inselspital Bern, University of Bern, Bern, Switzerland., Valero D; Ultra Sports Science Foundation, Pierre-Benite, France., Forte P; Higher Institute of Educational Sciences of the Douro, Penafiel, Portugal., Weiss K; Institute of Primary Care, University of Zurich, Zurich, Switzerland., Villiger E; Institute of Primary Care, University of Zurich, Zurich, Switzerland., Thuany M; Faculty of Sports, University of Porto, Porto, Portugal., Scheer V; Ultra Sports Science Foundation, Pierre-Benite, France., Wilhelm M; Centre for Rehabilitation and Sports Medicine, University Hospital Bern, Inselspital Bern, University of Bern, Bern, Switzerland., Andrade M; Physiology Department, Federal University of Sao Paulo, Sao Paulo, Brazil., Cuk I; Faculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia., Nikolaidis PT; School of Health and Caring Sciences, University of West Attica, Athens, Greece., Knechtle B; Institute of Primary Care, University of Zurich, Zurich, Switzerland. beat.knechtle@hispeed.ch.; Medbase St. Gallen Am Vadianplatz, Vadianstrasse 26, 9001, St. Gallen, Switzerland. beat.knechtle@hispeed.ch.

Journal Article , 2025

Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

Lu MY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung 80708, Taiwan., Wei YJ; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Wang CW; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Liang PC; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Yeh ML; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Tsai YS; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Tsai PC; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Ko YM; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Lin CC; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Chen KY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Lin YH; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Jang TY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Hsieh MY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Lin ZY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Huang CF; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Huang JF; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Dai CY; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Chuang WL; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Yu ML; Hepatitis Center and Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung 80708, Taiwan. fish6069@gmail.com.

Journal Article , 2025

Global or local modeling for XGBoost in geospatial studies upon simulated data and German COVID-19 infection forecasting.

Cheng X; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587, Berlin, Germany. ximeng.cheng@hhi.fraunhofer.de., Ma J; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587, Berlin, Germany.

Journal Article , 2025

On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models.

Huang L; Department of Rehabilitation Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. Electronic address: 14736050709@163.com., Alhulwah KH; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia. Electronic address: khalhulwah@imamu.edu.sa., Hanif MF; Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Pakistan. Electronic address: farhanlums@gmail.com., Siddiqui MK; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Pakistan. Electronic address: kamransiddiqui75@gmail.com., Ikram AS; Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Pakistan. Electronic address: ambar.ikram@math.uol.edu.pk.

Journal Article , 2025

Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis.

Sun X; Obstetrics and Gynecology, Jinan Maternity and Child Care Hospital, Jinan, 250000, Shandong, China. drsxy0302@163.com.

Journal Article , 2025

Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data.

Nevanlinna J; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. jalmari.nevanlinna@tuni.fi., Eidstø A; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Emergency Department, Tampere University Hospital, Tampere, Finland., Ylä-Mattila J; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Emergency Department, Tampere University Hospital, Tampere, Finland., Koivistoinen T; Kanta-Häme Central Hospital, Hämeenlinna, Finland., Oksala N; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland., Kanniainen J; Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland., Palomäki A; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Kanta-Häme Central Hospital, Hämeenlinna, Finland., Roine A; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Journal Article , 2025

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Predicting Early Deterioration in Lower Acuity Telehealth Patients Using Gradient Boosting.

Lopes RR, Chavez H, Atallah L

Journal Article , 2024

The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.

Pezoulas V, Ehret G, Dobretz K, Fotiadis DI, Sakellarios AI

Journal Article , 2024

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study.

Borelli JL; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Wang Y; Department of Computing, University of Turku, Turku, Finland., Li FH; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Russo LN; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Tironi M; Department of Educational Sciences, University of Genoa, Genoa, Italy., Yamashita K; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Zhou E; Department of Psychology, University of Southern California, Los Angeles, CA, United States., Lai J; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Nguyen B; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Azimi I; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Marcotullio C; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Labbaf S; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Jafarlou S; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Dutt N; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States., Rahmani A; Department of Psychological Science, University of California, Irvine, Irvine, CA, United States.

Journal Article , 2025

Uncovering key factors in weight loss effectiveness through machine learning.

Yang HW; Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA. stopstoptalking@gmail.com.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA. stopstoptalking@gmail.com.; Department of Biomedical Sciences and Engineering, Tzu Chi University, Hualien, Taiwan. stopstoptalking@gmail.com., De la Peña-Armada R; Department of Nutrition and Food Science, Complutense University of Madrid, Madrid, Spain., Sun H; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA., Peng YQ; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Lo MT; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Scheer FAJL; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.; Broad Institute, Cambridge, MA, USA.; Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA., Hu K; Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Garaulet M; Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA. garaulet@um.es.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA. garaulet@um.es.; Department of Physiology, Regional Campus of International Excellence, University of Murcia, 30100, Murcia, Spain. garaulet@um.es.; Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, 30120, Murcia, Spain. garaulet@um.es.

Journal Article; Observational Study , 2025

Integrating AI for infectious disease prediction: A hybrid ANN-XGBoost model for leishmaniasis in Pakistan.

Niu B; School of Computer Science and Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, China., Qureshi H; College of Management, Shenzhen University, Shenzhen, China. Electronic address: humiimran1745@yahoo.com., Khan MI; Division of Biostatistics, Department of Population Health, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia., Shah A; Health Department, Peshawar, Khyber Pakhtunkhwa, Pakistan.

Journal Article , 2025

Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach.

Hanani AA; Biomedical and Clinical Basic Skills Department, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine., Donmez TB; Biomedical Engineering Department, Sakarya University of Applied Sciences, Sakarya, Turkey., Kutlu M; Biomedical Engineering Department, Sakarya University of Applied Sciences, Sakarya, Turkey., Mansour M; Biomedical Engineering Department, Sakarya University of Applied Sciences, Sakarya, Turkey.

Journal Article , 2025

A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation.

Yuan ZN; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Xue YJ; Department of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China., Wang HJ; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Qu SN; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Huang CL; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Wang H; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Zhang H; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China., Zhang MZ; People's Hospital of Lishui District, Nanjing, Lishui, 211200, Jiangsu, China. 18761825997@163.com., Xing XZ; Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China. xxzncc@163.com.

Journal Article , 2025

Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models.

Hameed MM; Upper Euphrates Center for Sustainable Development Research, University of Anbar, Ramadi, Iraq., Masood A; Department of Natural and Applied Sciences, TERI School of Advanced Studies, New Delhi, India., Hamid A; Department of Natural and Applied Sciences, TERI School of Advanced Studies, New Delhi, India., Elbeltagi A; Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt., Razali SFM; Department of Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia., Salem A; Civil Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt.; Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary.

Journal Article; Comparative Study , 2025