A System to Provide Primary Maternity Healthcare Services in Developing Countries

Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine. Certain complications or disorders that can appear during pregnancy can endanger the life of both mother and fetus. There is enough scientific literature to support the idea that emotional aspects can be a relevant risk factor in pregnancy (such as anxiety, stress or depression, for instance). This paper presents a scoping review of the scientific literature from the past 12 years (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020) to identify which methodologies, techniques, algorithms and frameworks are used in Artificial Intelligence and Affective Computing for pregnancy health and well-being. The methodology proposed by Arksey and O'Malley, in conjunction with PRISMA-ScR framework has been used to create this review. Despite the relevance that emotional status can have as a risk factor during pregnancy, one of the main findings of this study is that there is still not a significant amount of literature on automatic analysis of emotion. Health enhancement and well-being for pregnant women can be achieved with artificial intelligence or affective computing based devices, hence future work on this topic is strongly suggested.

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“…• Promotion of healthy lifestyle and prevention of female feticide [149] (IDSS). • Gait monitoring [167].…”

Section: K Maternal and Fetus Well-beingmentioning

confidence: 99%

Artificial Intelligence in Pregnancy: A Scoping Review

et al. 2020

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“…Researches [2] proposed a decision support system IASHA to empower the Accredited Social Health Activist (ASHA) and Auxiliary Nurse Midwife (ANM) workers to provide efficient and transparent maternal healthcare services to pregnant women. ASHA are female health activist in every village who are selected by the village and accountable to it.…”

Section: Related Workmentioning

confidence: 99%

Integrating Antenatal and Postnatal Pregnancy Services to Hospital Management System

Danlami

Almu

Mairoh

et al. 2018

PoS

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Antenatal and postnatal processes and services is a component of Hospital Management Systems that has been given very little attention. Most healthcare institution carries out the antenatal and postnatal processes manually and keeps records of the whole processes on paper. In most cases in most hospital, records kept on paper and files get missing or misplaced leading to the loss of important records of clients which would have been very helpful for future pregnancies and clinical diagnosis. Report generation and statistical figures are difficult to generate with the manual based system. Data errors, security, and privacy are another problems associated with the manual system. In this paper, the antenatal and postnatal services were incorporated into the Hospital Management System of Usmanu Danfodiyo University, Sokoto with a view to reducing the issues and inconsistencies encountered with the manual procedure. Dreamweaver, PHP, CSS, JavaScript, Ajax, HTML and MySQL are the technological tools used to automate the incorporated antenatal and postnatal services in the system. The usefulness of the proposed system was evaluated using the System Usability Scale (SUS) questionnaire and some clinical users. The experimental evaluation shows that the developed system is beneficial to the clinic and the general public based on the result obtained in this study. The results also demonstrated that the developed system can fit into the antenatal and postnatal routine of many hospitals with little or no modification.

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