Predicting changes in systolic blood pressure using longitudinal patient records.

abstract：OBJECTIVE:To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from multivariate time series data in patient insurance claims using a convolutional neural network (CNN) architecture. METHODS:We used three years of medical and pharmacy c...

journal_title：Journal of biomedical informatics

authors： Morid MA,Sheng ORL,Kawamoto K,Abdelrahman S

更新日期：2020-11-01 00:00:00

abstract：:This paper presents a natural language processing (NLP) system that was designed to participate in the 2014 i2b2 de-identification challenge. The challenge task aims to identify and classify seven main Protected Health Information (PHI) categories and 25 associated sub-categories. A hybrid model was proposed which com...

journal_title：Journal of biomedical informatics

authors： Yang H,Garibaldi JM

更新日期：2015-12-01 00:00:00

abstract：OBJECTIVE:Clinicians face numerous information needs during patient care activities and most of these needs are not met. Infobuttons are information retrieval tools that help clinicians to fulfill their information needs by providing links to on-line health information resources from within an electronic medical record...

journal_title：Journal of biomedical informatics

authors： Del Fiol G,Haug PJ

更新日期：2009-02-01 00:00:00

abstract：BACKGROUND:A tool that can predict the estimated glomerular filtration rate (eGFR) in routine daily care can help clinicians to make better decisions for kidney transplant patients and to improve transplantation outcome. In this paper, we proposed a hybrid prediction model for predicting a future value for eGFR during ...

journal_title：Journal of biomedical informatics

authors： Rashidi Khazaee P,Bagherzadeh M J,Niazkhani Z,Pirnejad H

更新日期：2019-03-01 00:00:00

abstract：:End-stage renal disease (ESRD) is the final stage of chronic kidney disease (CKD) and requires hemodialysis (HD) for survival. Intradialytic blood pressure (IBP) measurements are necessary to ensure patient safety during HD treatments and have critical clinical and prognostic significance. Studies on IBP measurements,...

journal_title：Journal of biomedical informatics

authors： Wang F,Zhou JY,Tian Y,Wang Y,Zhang P,Chen JH,Li JS

更新日期：2018-07-01 00:00:00

abstract：:Linkage analysis uses information from family pedigrees to map genes and locate disease genes on particular chromosomes. A recombination fraction denoted as theta is estimated as a measure of crossing over between two loci. Genetic linkage calculations are very time-consuming particularly for large family pedigrees, a...

journal_title：Journal of biomedical informatics

authors： Kothari K,Lopez-Benitez N,Poduslo SE

更新日期：2001-12-01 00:00:00

abstract：:Real-time Obstructive Sleep Apnea (OSA) episode detection and monitoring are important for society in terms of an improvement in the health of the general population and of a reduction in mortality and healthcare costs. Currently, to diagnose OSA patients undergo PolySomnoGraphy (PSG), a complicated and invasive test ...

journal_title：Journal of biomedical informatics

authors： Sannino G,De Falco I,De Pietro G

更新日期：2014-06-01 00:00:00

abstract：:Big data technologies are critical to the medical field which requires new frameworks to leverage them. Such frameworks would benefit medical experts to test hypotheses by querying huge volumes of unstructured medical data to provide better patient care. The objective of this work is to implement and examine the feasi...

journal_title：Journal of biomedical informatics

authors： Istephan S,Siadat MR

更新日期：2016-02-01 00:00:00

abstract：:Balancing workload among nurses on a hospital unit is important for the satisfaction and safety of nurses and patients. To balance nurse workloads, direct patient care activities, indirect patient care activities, and non-patient care activities that occur throughout a shift must be considered. The layout of a hospita...

journal_title：Journal of biomedical informatics

authors： Acar I,Butt SE

更新日期：2016-12-01 00:00:00

abstract：:The Gene Ontology (GO), a set of three sub-ontologies, is one of the most popular bio-ontologies used for describing gene product characteristics. GO annotation data containing terms from multiple sub-ontologies and at different levels in the ontologies is an important source of implicit relationships between terms fr...

journal_title：Journal of biomedical informatics

authors： Manda P,McCarthy F,Bridges SM

更新日期：2013-10-01 00:00:00

abstract：:We have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chos...

journal_title：Journal of biomedical informatics

authors： Jandrlić DR,Lazić GM,Mitić NS,Pavlović MD

更新日期：2016-04-01 00:00:00

abstract：:The threat of bioterrorism has stimulated interest in enhancing public health surveillance to detect disease outbreaks more rapidly than is currently possible. To advance research on improving the timeliness of outbreak detection, the Defense Advanced Research Project Agency sponsored the Bio-event Advanced Leading In...

journal_title：Journal of biomedical informatics

authors： Buckeridge DL,Burkom H,Campbell M,Hogan WR,Moore AW

更新日期：2005-04-01 00:00:00

abstract：:Stomach cancer is one of the leading causes of cancer-related deaths worldwide. More than 80% diagnosis of this cancer occur at later stages leading to low 5-year survival rate. This emphasizes the need to have better prognostic techniques for stomach cancer. In this regard, the Next-Generation Sequencing of whole gen...

journal_title：Journal of biomedical informatics

authors： Pant N,Rakshit S,Paul S,Saha I

更新日期：2019-09-01 00:00:00

abstract：:Patient recruitment is one of the most important barriers to successful completion of clinical trials and thus to obtaining evidence about new methods for prevention, diagnostics and treatment. The reason is that recruitment is effort consuming. It requires the identification of candidate patients for the trial (the p...

journal_title：Journal of biomedical informatics

authors： Milian K,Hoekstra R,Bucur A,Ten Teije A,van Harmelen F,Paulissen J

更新日期：2015-08-01 00:00:00

abstract：:Finding disease markers (classifiers) from gene expression data by machine learning algorithms is characterized by a high risk of overfitting the data due the abundance of attributes (simultaneously measured gene expression values) and shortage of available examples (observations). To avoid this pitfall and achieve pr...

journal_title：Journal of biomedical informatics

authors： Gamberger D,Lavrac N,Zelezný F,Tolar J

更新日期：2004-08-01 00:00:00

abstract：BACKGROUND:Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between words. Different textual resources (e.g., Wikipedia and biomedical lit...

journal_title：Journal of biomedical informatics

authors： Wang Y,Liu S,Afzal N,Rastegar-Mojarad M,Wang L,Shen F,Kingsbury P,Liu H

更新日期：2018-11-01 00:00:00

abstract：:To understand how healthcare technologies are used in practice and evaluate them, researchers have argued for adopting the theoretical framework of Distributed Cognition (DC). This paper describes the methods and results of a study in which a DC methodology, Distributed Cognition for Teamwork (DiCoT), was applied to s...

journal_title：Journal of biomedical informatics

authors： Rajkomar A,Blandford A

更新日期：2012-06-01 00:00:00

abstract：:Hypotheses of homology are the basis of phylogenetic analysis. All character data are considered to be equivalent regardless of the source of those characters. Putative homology statements are designated based on observations of similarity. Pairwise sequence alignment using the Needleman-Wunsch algorithm is the basis ...

journal_title：Journal of biomedical informatics

authors： Phillips AJ

更新日期：2006-02-01 00:00:00

abstract：:Recruiting eligible patients for clinical trials is crucial for reliably answering specific questions about medical interventions and evaluation. However, clinical trial recruitment is a bottleneck in clinical research and drug development. Our goal is to provide an approach towards automating this manual and time-con...

journal_title：Journal of biomedical informatics

authors： Hassanzadeh H,Karimi S,Nguyen A

更新日期：2020-05-01 00:00:00

abstract：:Rare diseases are often hard and long to be diagnosed precisely, and most of them lack approved treatment. For some complex rare diseases, precision medicine approach is further required to stratify patients into homogeneous subgroups based on the clinical, biological or molecular features. In such situation, deep phe...

journal_title：Journal of biomedical informatics

authors： Chen X,Garcelon N,Neuraz A,Billot K,Lelarge M,Bonald T,Garcia H,Martin Y,Benoit V,Vincent M,Faour H,Douillet M,Lyonnet S,Saunier S,Burgun A

更新日期：2019-12-01 00:00:00

abstract：:Many interventions to improve the success of information technology (IT) implementations are grounded in behavioral science, using theories, and models to identify conditions and determinants of successful use. However, each model in the IT literature has evolved to address specific theoretical problems of particular ...

journal_title：Journal of biomedical informatics

authors： Kukafka R,Johnson SB,Linfante A,Allegrante JP

更新日期：2003-06-01 00:00:00

abstract：STUDY OBJECTIVE:The goals of this investigation were to study the temporal relationships between the demands for key resources in the emergency department (ED) and the inpatient hospital, and to develop multivariate forecasting models. METHODS:Hourly data were collected from three diverse hospitals for the year 2006. ...

journal_title：Journal of biomedical informatics

authors： Jones SS,Evans RS,Allen TL,Thomas A,Haug PJ,Welch SJ,Snow GL

更新日期：2009-02-01 00:00:00

abstract：:Intensive care monitoring systems are typically developed from population data, but do not take into account the variability among individual patients' characteristics. This study develops patient-specific alarm algorithms in real time. Classification tree and neural network learning were carried out in batch mode on ...

journal_title：Journal of biomedical informatics

authors： Zhang Y,Szolovits P

更新日期：2008-06-01 00:00:00

abstract：:Surgical planning for StereoElectroEncephaloGraphy (SEEG) is a complex and patient specific task, where the experience and medical workflow of each institution may influence the final planning choices. To account for this variability, we developed a data-based Computer Assisted Planning (CAP) solution able to exploit ...

journal_title：Journal of biomedical informatics

authors： Scorza D,Rizzi M,De Momi E,Cortés C,Bertelsen Á,Cardinale F

更新日期：2020-08-01 00:00:00

abstract：:One of the major problems in genomics and medicine is the identification of gene networks and pathways deregulated in complex and polygenic diseases, like cancer. In this paper, we address the problem of assessing the variability of results of pathways analysis identified in different and independent genome wide expre...

journal_title：Journal of biomedical informatics

authors： Maglietta R,Distaso A,Piepoli A,Palumbo O,Carella M,D'Addabbo A,Mukherjee S,Ancona N

更新日期：2010-06-01 00:00:00

abstract：:A software framework can reduce costs related to the development of an application because it allows developers to reuse both design and code. Recently, companies and research groups have announced that they have been employing health software frameworks. This paper presents the design, proof-of-concept implementation...

journal_title：Journal of biomedical informatics

authors： Macedo AA,Pollettini JT,Baranauskas JA,Chaves JC

更新日期：2016-08-01 00:00:00

abstract：:A crucial and limiting factor in data reuse is the lack of accurate, structured, and complete descriptions of data, known as metadata. Towards improving the quantity and quality of metadata, we propose a novel metadata prediction framework to learn associations from existing metadata that can be used to predict metada...

journal_title：Journal of biomedical informatics

authors： Panahiazar M,Dumontier M,Gevaert O

更新日期：2017-08-01 00:00:00

abstract：:The aim of this study is to explore the word sense disambiguation (WSD) problem across two biomedical domains-biomedical literature and clinical notes. A supervised machine learning technique was used for the WSD task. One of the challenges addressed is the creation of a suitable clinical corpus with manual sense anno...

journal_title：Journal of biomedical informatics

authors： Savova GK,Coden AR,Sominsky IL,Johnson R,Ogren PV,de Groen PC,Chute CG

更新日期：2008-12-01 00:00:00

abstract：OBJECTIVE:To classify and characterize the variables commonly used to measure the impact of Information Technology (IT) adoption in health care, as well as settings and IT interventions tested, and to guide future research. MATERIALS AND METHODS:We conducted a descriptive study screening a sample of 236 studies from a...

journal_title：Journal of biomedical informatics

authors： Colicchio TK,Facelli JC,Del Fiol G,Scammon DL,Bowes WA 3rd,Narus SP

更新日期：2016-10-01 00:00:00

abstract：INTRODUCTION:Most data extraction efforts in epidemiology are focused on obtaining targeted information from clinical trials. In contrast, limited research has been conducted on the identification of information from observational studies, a major source for human evidence in many fields, including environmental health...

journal_title：Journal of biomedical informatics

authors： Karystianis G,Thayer K,Wolfe M,Tsafnat G

更新日期：2017-06-01 00:00:00