Amanote Research

Amanote Research

    RegisterSign In

Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care

doi 10.1109/cit/iucc/dasc/picom.2015.31
Full Text
Open PDF
Abstract

Available in full text

Date

October 1, 2015

Authors
Ibrahim Olatunji IdowuPaul FergusAbir HussainChelsea DobbinsMohammed KhalafRaul V. Casana EslavaRobert Keight
Publisher

IEEE


Related search

Artificial Intelligence: A New Paradigm in Obstetrics and Gynecology Research and Clinical Practice

Cureus
2020English

Practical Guidance on Artificial Intelligence for Health-Care Data

Lancet Digital Health, The
Health Information ManagementMedicineDecision SciencesHealth Informatics
2019English

Veinous Thromboembolism in Hospital University of Gynecology and Obstetric Befelatanana

Surgery & Case Studies: Open Access Journal
2019English

Futuristic Biosensors for Cardiac Health Care: An Artificial Intelligence Approach

3 Biotech
AgriculturalBiotechnologyEnvironmental ScienceBiological Sciences
2018English

Blockchain for Artificial Intelligence

International Journal for Research in Applied Science and Engineering Technology
2017English

Artificial Intelligence and Autonomous Machines: Influences, Consequences, and Dilemmas in Human Care

Health
2019English

Artificial Intelligence in Health Care: Insights From an Educational Forum

Journal of Medical Education and Curricular Development
2019English

Center for Artificial Intelligence

1992English

Artificial Intelligence ... »mental Intelligence«

Digitale Welt
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy