Prediction of Women Survival Rate during Pregnancy Using Classification and Clustering
01 Feb 2017-pp 231-235
TL;DR: This paper performs Decision table based classification and Filtered Clustering to prove the correctness of the results obtained from the survey regarding which of the fourteen factors involved in the analysis has the highest impact on the survival status of the women during the period of pregnancy.
Abstract: A statistical survey shows that In India a mother dies in every eight minutes in India at the same amount of time 20 women suffer from lifelong health impairments that result from complications during their pregnancies. The majority of these deaths are among women in the 15-29 age group, at the prime of their reproductive lives. The most tragic aspect of these deaths is that about 90 percent of them are avoidable in nature, in case of women are able to receive the right kind of intervention. This paper deals with the health record of pregnant women obtained from a primary health canter, Vellore. This is a district in Tamilnadu and India. This paper analyses various compound reasons regarding the mother mortality rate and the Impact on these factors that affect the survival rate of the women. This paper performs Decision table based classification and Filtered Clustering to prove the correctness of the results obtained from the survey regarding which of the fourteen factors involved in the analysis has the highest impact on the survival status of the women during the period of pregnancy. This paper classifies these fourteen parameters and the impact of the every single parameter on the survival status of the women and how much percentage is the survival rate obtained from this survey and out of which is the primary key attribute that has the highest impact on the survival rate is predicted by the rigorous classification and the clustering algorithms.
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TL;DR: How two large health systems in India – Gujarat and Tamil Nadu – have successfully applied human resources strategies in uniquely different contexts to the challenges of achieving Millennium Development Goal Five is focused on.
Abstract: Developing countries are currently struggling to achieve the Millennium Development Goal Five of reducing maternal mortality by three quarters between 1990 and 2015. Many health systems are facing acute shortages of health workers needed to provide improved prenatal care, skilled birth attendance and emergency obstetric services – interventions crucial to reducing maternal death. The World Health Organization estimates a current deficit of almost 2.4 million doctors, nurses and midwives. Complicating matters further, health workforces are typically concentrated in large cities, while maternal mortality is generally higher in rural areas. Additionally, health care systems are faced with shortages of specialists such as anaesthesiologists, surgeons and obstetricians; a maldistribution of health care infrastructure; and imbalances between the public and private health care sectors. Increasingly, policy-makers have been turning to human resource strategies to cope with staff shortages. These include enhancement of existing work roles; substitution of one type of worker for another; delegation of functions up or down the traditional role ladder; innovation in designing new jobs;transfer or relocation of particular roles or services from one health care sector to another. Innovations have been funded through state investment, public-private partnerships and collaborations with nongovernmental organizations and quasi-governmental organizations such as the World Bank. This paper focuses on how two large health systems in India – Gujarat and Tamil Nadu – have successfully applied human resources strategies in uniquely different contexts to the challenges of achieving Millennium Development Goal Five.
44 citations
TL;DR: The Guatemalan NGO TulaSalud has implemented an m-health project in the Department of Alta Verapaz which has demonstrated a statistically significant decrease in maternal mortality and child mortality in the intervention group compared with rates in the control group.
Abstract: The Guatemalan NGO (Non-Governmental Organization) TulaSalud has implemented an m-health project in the Department of Alta Verapaz. This Department has 1.2 million inhabitants (78% living in rural areas and 89% from indigenous communities) and in 2012, had a maternal mortality rate of 273 for every 100,000 live births. This m-health initiative is based on the provision of a cell phone to community facilitators (CFs). The CFs are volunteers in rural communities who perform health prevention, promotion and care. Thanks to the cell phone, the CFs have become tele-CFs who able to carry out consultations when they have questions; send full epidemiological and clinical information related to the cases they attend to; receive continuous training; and perform activities for the prevention and promotion of community health through distance learning sessions in the Q'eqchi and/or Poqomchi' languages. In this study, rural populations served by tele-CFs were selected as the intervention group while the control group was composed of the rural population served by CFs without Information and Communication Technology (ICT) tools. As well as the achievement of important process results (116,275 medical consultations, monitoring of 6,783 pregnant women, and coordination of 2,014 emergency transfers), the project has demonstrated a statistically significant decrease in maternal mortality (p < 0.05) and in child mortality (p = 0.054) in the intervention group compared with rates in the control group. As a result of the telemedicine initiative, the intervention areas, which were selected for their high maternal and infant mortality rates, currently show maternal and child mortality indicators that are not only lower than the indicators in the control area, but also lower than the provincial average (which includes urban areas).
35 citations