Verbal autopsy presents the opportunity to understand the disease burden in many low-income countries where vital registration systems are underdeveloped and most deaths occur in the community. Advances in technology have led to the development of software that can provide probable cause of death information in real time, and research considering the ethical implications of these advances is necessary to inform policy. Our research explores these ethical issues in rural Nepal using a public health ethics framework. We considered the burdens (...) and benefits of VA and giving cause of death information to families of the deceased through qualitative research with VA interviewers, community members, national policy stakeholders and international academics. Burdens can be experienced differently, and it is important to balance the emotional burden of VA with utilization of the data to inform planning and increased access to health services. The training, support and supervision of VA interviewers should be prioritized if VA is taken to scale. Initial and ongoing community engagement is recommended in addition to engaging ethical, legal, health and policy personnel in developing protocols and systems. Integrating rigorous research while cautiously moving forward is recommended to ensure systems and responses to concerns are relevant to contexts. (shrink)

This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. Optimisation of a Multilayer Perceptron is performed with an evolutionary approach before classification to estimate the best hyperparameters of the network. Deep learning and tuning with Long Short-Term (...) Memory are also explored, and Adaptive Boosting of the two types of models is tested for each problem. Three experiments are provided for comparison using different classifiers: one for attention state classification, one for emotional sentiment classification, and a third experiment in which the goal is to guess the number a subject is thinking of. The obtained results show that an Adaptive Boosted LSTM can achieve an accuracy of 84.44%, 97.06%, and 9.94% on the attentional, emotional, and number datasets, respectively. An evolutionary-optimised MLP achieves results close to the Adaptive Boosted LSTM for the two first experiments and significantly higher for the number-guessing experiment with an Adaptive Boosted DEvo MLP reaching 31.35%, while being significantly quicker to train and classify. In particular, the accuracy of the nonboosted DEvo MLP was of 79.81%, 96.11%, and 27.07% in the same benchmarks. Two datasets for the experiments were gathered using a Muse EEG headband with four electrodes corresponding to TP9, AF7, AF8, and TP10 locations of the international EEG placement standard. The EEG MindBigData digits dataset was gathered from the TP9, FP1, FP2, and TP10 locations. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be (...) preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

A report of a problem-based learning project on the ethics of terminal care, offered as one of the options available to first year MB ChB students in Edinburgh University Medical School. The project formed part of the 'clinical correlation course' in the new curriculum. Six students took part under the supervision of two clinical tutors and a moral philosopher. The course was case-based and practical with students being given the opportunity over a period of eight weeks to meet patients, relatives (...) and hospital staff at a local geriatrics hospital and terminal care home. The main issue studied was the degree of choice available to patients electing to be treated at home, in hospital or in a hospice. Other issues included: pre-death, disposal of the dead, certification of death, communication with relatives and follow-up bereavement services. (shrink)