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Most maternal deaths occur in the puerperium and most maternal morbidities probably also arise at that time. Maternal morbidities occur much more frequently than maternal deaths, but very little is known about their magnitude or causes. This study uses focus-group discussions to explore the experiences of childbirth and postpartum illness among rural(More)
With an increasing emphasis on the emerging automatic person identification application, biometrics based, especially fingerprint-based identification, is receiving a lot of attention. This research developed an automatic fingerprint recognition system (AFRS) based on a hybrid between minutiae and correlation based techniques to represent and to match(More)
This paper is a result of a fruitful cooperation between the computer science and the dental diagnosis experiences. The study presents a new approach of applying computer algorithms to radiographic images of dental implantation used for bone regeneration. We focus here only on the contribution of the computer assistance to the clinical research as the(More)
Accurate and fast approaches for automatic ECG data classification are vital for clinical diagnosis of heart disease. To this end, we propose a novel multistage algorithm that combines various procedures for dimensionality reduction, consensus clustering of randomized samples and fast supervised classification algorithms for processing of the highly(More)
OBJECTIVE This article addresses the problem of determining optimal sequences of tests for the clinical assessment of cardiac autonomic neuropathy (CAN). We investigate the accuracy of using only one of the recommended Ewing tests to classify CAN and the additional accuracy obtained by adding the remaining tests of the Ewing battery. This is important as(More)
OBJECTIVE To compare the maternal outcome, in terms of postpartum infection, of deliveries conducted by trained traditional birth attendants (TBAs) with those conducted by untrained birth attendants. METHODS The study took place in a rural area of Bangladesh where a local NGO (BRAC) had previously undertaken TBA training. Demographic surveillance in the(More)
OBJECTIVE To explore what happened to poor women in Bangladesh once they reached a hospital providing comprehensive emergency obstetric care (EmOC) and to identify support mechanisms. DESIGN Mixed methods qualitative study. SETTING Large government medical college hospital in Bangladesh. SAMPLE Providers and users of EmOC. METHODS Ethnographic(More)
Spam is commonly defined as unsolicited email messages and the goal of spam categorization is to distinguish between spam and legitimate email messages. Many researchers have been trying to separate spam from legitimate emails using machine learning algorithms based on statistical learning methods. In this paper, an innovative and intelligent spam filtering(More)
There exists an enormous gap between low-level visual feature and high-level semantic information, and the accuracy of content-based image classification and retrieval depends greatly on the description of low-level visual features. Taking this into consideration, a novel texture and edge descriptor is proposed in this paper, which can be represented with a(More)