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- [21] Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed TomographyJournal of Medical and Biological Engineering, 2023, 43 : 156 - 162Marcos A. D. MachadoRonnyldo R. E. SilvaMauro NamiasAndreia S. LessaMargarida C. L. C. NevesCarolina T. A. SilvaDanillo M. OliveiraThamiris R. ReinaArquimedes A. B. LiraLeandro M. AlmeidaCleber ZanchettinEduardo M. Netto
- [22] Prediction of Mortality among Patients with Isolated Traumatic Brain Injury Using Machine Learning Models in Asian Countries: An International Multi-Center Cohort StudyJOURNAL OF NEUROTRAUMA, 2023, 40 (13-14) : 1376 - 1387Song, JuhyunShin, Sang DoJamaluddin, Sabariah FaizahChiang, Wen-ChuTanaka, HideharuSong, Kyoung JunAhn, SejoongPark, Jong-hakKim, JooyeongCho, Han-jinMoon, SungwooJeon, Eun-Tae
- [23] A randomized, multi-center, double-blinded, placebo controlled, investigator-initiated trial to assess the impact of L-carnitine administration on the quality of life in the liver cirrhosis with covert hepatic encephalopathyJOURNAL OF HEPATOLOGY, 2020, 73 : S4 - S4Yoon, EileenJun, Dae WonAhn, Sang BongCho, Yong KyunSong, Do SeonJeong, JaeyoonKim, Hee YeonJung, Young KulSong, Myeong JunKim, Hyoung SuKim, Sung EunJeong, Soung WonKim, Sang GyuneLee, Tae HeeRyu, Hokyoung
- [24] Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine LearningACADEMIC RADIOLOGY, 2022, 29 (08) : 1149 - 1156Hardie, Andrew D.Chamberlin, Jordan H.Boyum, James H.Sharbidre, Kedar G.Petrocelli, RobertFlemming, Brian P.Zahid, MohdVenkatesh, Sudhakar K.Mruthyunjayappa, SmithaHajdu, Cristina H.Kovacs, Mark D.
- [25] Personalizing the first dose of FSH for IVF/ICSI patients through machine learning: a non-inferiority study protocol for a multi-center randomized controlled trialTrials, 25Nuria CorreaJesus CerquidesJosep Lluis ArcosRita VassenaMina Popovic
- [26] Machine learning approach for detection of valvular heart disease through digital cardiac auscultation: results from multi-center prospective cross-sectional studyEUROPEAN HEART JOURNAL, 2024, 45Jung, I. H.Bae, S. A.Kim, M. K.Moon, I. K.Seo, H. S.Chang, H. J.
- [27] Personalizing the first dose of FSH for IVF/ICSI patients through machine learning: a non-inferiority study protocol for a multi-center randomized controlled trialTRIALS, 2024, 25 (01)Correa, NuriaCerquides, JesusArcos, Josep LluisVassena, RitaPopovic, Mina
- [28] Machine Learning Model Development and Validation for Predicting Outcome in Stage 4 Solid Cancer Patients with Septic Shock Visiting the Emergency Department: A Multi-Center, Prospective Cohort StudyJOURNAL OF CLINICAL MEDICINE, 2022, 11 (23)Ko, Byuk SungJeon, SanghoonSon, DongheeChoi, Sung-HyukShin, Tae GunJo, You HwanRyoo, Seung MokKim, Youn-JungPark, Yoo SeokKwon, Woon YongSuh, Gil JoonLim, Tae HoKim, Won Young
- [29] Machine learning-based prediction of in-hospital mortality for post cardiovascular surgery patients admitting to intensive care unit: a retrospective observational cohort study based on a large multi-center critical care databaseCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 226Bi, SiweiChen, ShanshanLi, JingyiGu, Jun
- [30] Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validationFRONTIERS IN NEUROLOGY, 2023, 14Huang, JianChen, HuaqiaoDeng, JiewenLiu, XiaozhuShu, TingtingYin, ChengliangDuan, MinjieFu, LiWang, KaiZeng, Song