In the context of the Electronic Health Record, automated diagnosis coding of patient notes is a useful task, but a challenging one due to the large number of codes and the length of patient notes. We investigate four models for assigning multiple ICD codes to discharge summaries taken from both MIMIC II and III. We present Hierarchical AttentionGRU (HA-GRU), a hierarchical approach to tag a do...

The continuous cuffless arterial blood pressure (ABP) can be calculated by the pulse transit velocity. Its accuracy is significantly influenced by the selection of the photoplethysmography (PPG) feature points. In this paper, we designed an assessment function to calculate the quality of PPG. The quality index indicates the reliability of PPG and helps to determine proper feature points. Kalman...

Ewing's sarcoma (ES) is a highly malignant neoplasm of childhood and adolescence seen commonly in both axial and appendicular skeleton but uncommonly in acral region. Ewing’s tumor in the hand is extraordinarily rare. Radiological features are variable and can mimic other common lesions. We present a case of 13 year old female, with complaints of pain and swelling in right hand, which on X-ray ...

There is a great need for technologies that can predict the mortality of patients in intensive care units with both high accuracy and accountability. We present joint end-to-end neural network architectures that combine long short-term memory (LSTM) and a latent topic model to simultaneously train a classifier for mortality prediction and learn latent topics indicative of mortality from textual...

The paper examines the effect of inflation on the growth rate in economies with underground, or ”non-market”, sectors. The model incorporates a non-market good into an endogenous growth cash-inadvance economy with human capital. Taxes on labor and capital induce substitution into the non-market sector which avoids such taxes. However the non-market sector uses only cash for exchange and cannot ...

Electronic Health Records (EHRs) consist of sparse, noisy, incomplete, heterogeneous and unevenly sampled clinical data of patients. They include physiological signals, lab test results, procedural events, clinical notes. Such data can be treated as a temporal stream of events of varied types occurring at irregularly spaced time points. We focus on modeling the temporal dependencies that arise ...

This paper presents Mimic : a decision-tree based concatenative voice adaptive text to speech synthesiser. Mimic integrates text to speech synthesis (TTS) with speech recognition and speaker adaptation. Speech is synthesised from concatenation of triphone synthesis units. The triphone units are obtained from clusters of training examples modelled, labelled and segmented using clustered HMMs and...

The estimation of the intergenerational correlation of incomes is usually carried out by proxying permanent incomes using suitable indicators of economic status, and by treating the resulting measurement error problem using averaging or instrumenting procedures. Here we take the permanent income of the parents' family to be unobserved, but we assume that its determinants are known to the resear...

A huge amount of medical data is generated every day, which presents a challenge in analysing these data. The obvious solution to this challenge is to reduce the amount of data without information loss. Dimension reduction is considered the most popular approach for reducing data size and also to reduce noise and redundancies in data. In this paper, we investigate the effect of feature selectio...

BigDAWG is a polystore system designed to work on complex problems that naturally span across different processing or storage engines. BigDAWG provides an architecture that supports diverse database systems working with different data models, support for the competing notions of location transparency and semantic completeness via islands of information and a middleware that provides a uniform m...