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1 Ergebnisse
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Machine Learning Algorithms Using Routinely Collected Data ..:
Murnane, Pamela M
;
Ayieko, James
;
Vittinghoff, Eric
...
qt7b15x5dt. , 2021
Link:
https://escholarship.org/uc/item/7b15x5dt
RT Journal T1
Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt7b15x5dt&Exemplar=1&LAN=DE A1 Murnane, Pamela M A1 Ayieko, James A1 Vittinghoff, Eric A1 Gandhi, Monica A1 Katumbi, Chaplain A1 Milala, Beteniko A1 Nakaye, Catherine A1 Kanda, Peter A1 Moodley, Dhayendre A1 Nyati, Mandisa E A1 Loftis, Amy J A1 Fowler, Mary G A1 Flynn, Pat A1 Currier, Judith S A1 Cohen, Craig R PB eScholarship, University of California YR 2021 K1 Infectious Diseases K1 Prevention K1 Clinical Research K1 Behavioral and Social Science K1 HIV/AIDS K1 Evaluation of treatments and therapeutic interventions K1 6.1 Pharmaceuticals K1 Reproductive health and childbirth K1 Infection K1 Good Health and Well Being K1 Adult K1 Algorithms K1 Anti-HIV Agents K1 Anti-Retroviral Agents K1 Female K1 HIV Infections K1 Humans K1 Infectious Disease Transmission K1 Vertical K1 Machine Learning K1 Postpartum Period K1 Pregnancy K1 Pregnancy Complications K1 Infectious K1 Routinely Collected Health Data K1 Viral Load K1 Viremia K1 HIV K1 medication adherence K1 risk prediction K1 differentiated service delivery K1 Clinical Sciences K1 Public Health and Health Services K1 Virology JF qt7b15x5dt LK http://dx.doi.org/https://escholarship.org/uc/item/7b15x5dt DO https://escholarship.org/uc/item/7b15x5dt SF ELIB - SuUB Bremen
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