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10481 |
Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
Enthalten in BMC pregnancy and childbirth Bd. 22, 22.4.2022, Nr. 1, date:12.2022: 1-19
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|
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10482 |
Machine Learning to Predict Prostate Artery Embolization Outcomes
Enthalten in CardioVascular and interventional radiology Bd. 47, 19.6.2024, Nr. 9, date:9.2024: 1248-1254
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10483 |
Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on bioinformatics and systems biology Bd. 2016, 5.9.2016, Nr. 1, date:12.2016: 1-7
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10484 |
Machine learning to predict the development of recurrent urinary tract infection related to single uropathogen, Escherichia coli
Enthalten in Scientific reports Bd. 12, 14.10.2022, Nr. 1, date:12.2022: 1-11
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10485 |
Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016
Enthalten in BMC women's health Bd. 24, 23.1.2024, Nr. 1, date:12.2024: 1-11
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10486 |
Machine learning to predict untreated dental caries in adolescents
Enthalten in BMC oral health Bd. 24, 9.3.2024, Nr. 1, date:12.2024: 1-6
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10487 |
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022
Enthalten in BMC medical informatics and decision making Bd. 23, 21.4.2023, Nr. 1, date:12.2023: 1-20
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10488 |
Machine learning to refine decision making within a syndromic surveillance service
Enthalten in BMC public health Bd. 19, 14.5.2019, Nr. 1, date:12.2019: 1-12
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10489 |
Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective
Enthalten in BMC bioinformatics Bd. 22, 24.4.2021, Nr. 1, date:12.2021: 1-17
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10490 |
Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms
Enthalten in Scientific reports Bd. 10, 10.12.2020, Nr. 1, date:12.2020: 1-10
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Administration
