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Publication : bmc public health

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Academic Journal

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.

Authors : Alie, Melsew Setegn¹ (AUTHOR) ; Negesse, Yilkal² (AUTHOR); Kindie, Kassa³ (AUTHOR)

Subjects: *MACHINE learning; *COVID-19 pandemic; *TASTE disordersETHIOPIA

Source: BMC Public Health. 6/28/2024, Vol. 24 Issue 1, p1-19. 19p.

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Academic Journal

Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data

Authors : Senobar Naderian; Zeinab Nikniaz; Mahdieh Abbasalizad Farhangi

Subjects: Dyslipidemia; Machine learning; Predictive modeling

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-16 (2024)

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Academic Journal

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia

Authors : Melsew Setegn Alie; Yilkal Negesse; Kassa Kindie

Subjects: SARS-CoV-2 Infections; COVID 19 Pandemic; COVID-19

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-19 (2024)

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Academic Journal

Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged.

Authors : Duvvuri, Venkata R.^1,2 (AUTHOR); Abdelrehim, Mona³ (AUTHOR) ; Singhal, Sonica^1,3 (AUTHOR)

Subjects: *DENTAL insurance; *INSURANCE; *MACHINE learningCANADA

Source: BMC Public Health. 5/23/2024, Vol. 24 Issue 1, p1-11. 11p.

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Academic Journal

Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment.

Authors : Rodrigues, Moreno M. S.^1,2,3 (AUTHOR) ; Barreto-Duarte, Beatriz^1,4,5,6 (AUTHOR); Vinhaes, Caian L.^1,7,8 (AUTHOR)

Subjects: *MACHINE learning; *MEDICAL personnel; *DISEASE risk factors

Source: BMC Public Health. 5/23/2024, Vol. 24 Issue 1, p1-9. 9p.

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Academic Journal

Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged

Authors : Venkata R. Duvvuri; Mona Abdelrehim; Sonica Singhal

Subjects: Access to dental care; Dental insurance; Dental care utilization

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)

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Academic Journal

Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment

Authors : Moreno M. S. Rodrigues; Beatriz Barreto-Duarte; Caian L. Vinhaes

Subjects: Tuberculosis; Score prediction; Loss to follow-up

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024)

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Academic Journal

Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India

Authors : Susan Idicula-Thomas; Ulka Gawde; Prabhat Jha

Subjects: Machine learning; Prediction model; Million Death Study

Source: BMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021)

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Academic Journal

Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.

Authors : Idicula-Thomas S; Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, 400012, India. .; Centre for Global Health Research, St. Michael's Hospital, Unity Health Toronto, and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. .

Subjects: Communicable Diseases* ; Machine Learning*; Algorithms

Source: BMC public health [BMC Public Health] 2021 Oct 04; Vol. 21 (1), pp. 1787. Date of Electronic Publication: 2021 Oct 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458

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Academic Journal

Risk assessment of imported malaria in China: a machine learning perspective.

Authors : Yang, Shuo¹ (AUTHOR); Li, Ruo-yang¹ (AUTHOR); Yan, Shu-ning¹ (AUTHOR)

Subjects: *MACHINE learning; *MALARIA; *RISK assessmentCHINA

Source: BMC Public Health. 3/20/2024, Vol. 24 Issue 1, p1-12. 12p.

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