Articles

KGHC: a knowledge graph for hepatocellular carcinoma

Hepatocellular carcinoma is one of the most general malignant neoplasms in adults with high mortality. Mining relative medical knowledge from rapidly growing text data and integrating it with other existing bi...

Authors: Nan Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin and Jian Wang

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia

With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important out...

Authors: Wenyan Tan, Haicheng Lin, Baoxin Lei, Aihua Ou, Zehui He, Ning Yang, Fujun Jia, Heng Weng and Tianyong Hao

A mobile app for Glaucoma diagnosis and its possible clinical applications

Nowadays, the latent power of technology, which can offer innovative resolutions to disease diagnosis, has awakened high-level anticipation in the community of patients as well as professionals. An easy-to-use...

Authors: Fan Guo, Weiqing Li, Xin Zhao, Junfeng Qiu and Yuxiang Mai

Healthcare knowledge of relationship between time series electrocardiogram and cigarette smoking using clinical records

In the few studies of clinical experience available, cigarette smoking may be associated with ischemic heart disease and acute coronary events, which can be reflected in the electrocardiogram (ECG). However, t...

Authors: Kuo-Kun Tseng, Jiaqian Li, Yih-Jing Tang, Ching Wen Yang and Fang-Ying Lin

Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports

Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Son...

Authors: Lu Qin, Xiaowei Xu, Lingling Ding, Zixiao Li and Jiao Li

Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction

Electronic medical records contain a variety of valuable medical information for patients. So, when we are able to recognize and extract risk factors for disease from EMRs of patients with cardiovascular disea...

Authors: Zhichang Zhang, Yanlong Qiu, Xiaoli Yang and Minyu Zhang

ECCParaCorp: a cross-lingual parallel corpus towards cancer education, dissemination and application

The increasing global cancer incidence corresponds to serious health impact in countries worldwide. Knowledge-powered health system in different languages would enhance clinicians’ healthcare practice, patient...

Authors: Hetong Ma, Feihong Yang, Jiansong Ren, Ni Li, Min Dai, Xuwen Wang, An Fang, Jiao Li, Qing Qian and Jie He

Prediction of blood culture outcome using hybrid neural network model based on electronic health records

Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream...

Authors: Ming Cheng, Xiaolei Zhao, Xianfei Ding, Jianbo Gao, Shufeng Xiong and Yafeng Ren

Using predictive process monitoring to assist thrombolytic therapy decision-making for ischemic stroke patients

Although clinical guidelines provide the best practice for medical activities, there are some limitations in using clinical guidelines to assistant decision-making in practical application, such as long update...

Authors: Haifeng Xu, Jianfei Pang, Xi Yang, Mei Li and Dongsheng Zhao

Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values

Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge. Althoug...

Authors: Hyukki Lee and Yon Dohn Chung

Development of an algorithm to detect and reduce complexity of drug treatment and its technical realisation

The increasing complexity of current drug therapies jeopardizes patient adherence. While individual needs to simplify a medication regimen vary from patient to patient, a straightforward approach to integrate ...

Authors: Viktoria S. Wurmbach, Steffen J. Schmidt, Anette Lampert, Eduard Frick, Michael Metzner, Simone Bernard, Petra A. Thürmann, Stefan Wilm, Achim Mortsiefer, Attila Altiner, Lisa Sparenberg, Joachim Szecsenyi, Frank Peters-Klimm, Petra Kaufmann-Kolle, Walter E. Haefeli and Hanna M. Seidling

Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review

Electronic personal health records (ePHRs) are defined as electronic applications through which individuals can access, manage, and share health information in a private, secure, and confidential environment. ...

Authors: Zahra Niazkhani, Esmaeel Toni, Mojgan Cheshmekaboodi, Andrew Georgiou and Habibollah Pirnejad

Sparse multi-output Gaussian processes for online medical time series prediction

For real-time monitoring of hospital patients, high-quality inference of patients’ health status using all information available from clinical covariates and lab test results is essential to enable successful ...

Authors: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li and Barbara E Engelhardt

Differential influences of social support on app use for diabetes self-management – a mixed methods approach

Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as...

Authors: Nicola Brew-Sam, Arul Chib and Constanze Rossmann

Application of standardised effect sizes to hospital discharge outcomes for people with diabetes

Patients with diabetes are at an increased risk of readmission and mortality when discharged from hospital. Existing research identifies statistically significant risk factors that are thought to underpin thes...

Authors: Tim Robbins, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva and Theodoros N. Arvanitis

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied ...

Authors: Carole H. Sudre, Jasmina Panovska-Griffiths, Eser Sanverdi, Sebastian Brandner, Vasileios K. Katsaros, George Stranjalis, Francesca B. Pizzini, Claudio Ghimenton, Katarina Surlan-Popovic, Jernej Avsenik, Maria Vittoria Spampinato, Mario Nigro, Arindam R. Chatterjee, Arnaud Attye, Sylvie Grand, Alexandre Krainik…

A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort

Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised...

Authors: Amirhossein Jalali, Robert W. Foley, Robert M. Maweni, Keefe Murphy, Dara J. Lundon, Thomas Lynch, Richard Power, Frank O’Brien, Kieran J. O’Malley, David J. Galvin, Garrett C. Durkan, T. Brendan Murphy and R. William Watson

Composite CDE: modeling composite relationships between common data elements for representing complex clinical data

Semantic interoperability is essential for improving data quality and sharing. The ISO/IEC 11179 Metadata Registry (MDR) standard has been highlighted as a solution for standardizing and registering clinical d...

Authors: Hye Hyeon Kim, Yu Rang Park, Suehyun Lee and Ju Han Kim

Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks

Authors: Salem T. Argaw, Juan R. Troncoso-Pastoriza, Darren Lacey, Marie-Valentine Florin, Franck Calcavecchia, Denise Anderson, Wayne Burleson, Jan-Michael Vogel, Chana O’Leary, Bruce Eshaya-Chauvin and Antoine Flahault

Surgical workflow simulation for the design and assessment of operating room setups in orthopedic surgery

The design and internal layout of modern operating rooms (OR) are influencing the surgical team’s collaboration and communication, ergonomics, as well as intraoperative hygiene substantially. Yet, there is no ...

Authors: Juliane Neumann, Christine Angrick, Celina Höhn, Dirk Zajonz, Mohamed Ghanem, Andreas Roth and Thomas Neumuth

How good is our diagnostic intuition? Clinician prediction of bacteremia in critically ill children

Clinical intuition and nonanalytic reasoning play a major role in clinical hypothesis generation; however, clinicians’ intuition about whether a critically ill child is bacteremic has not been explored. We end...

Authors: Katherine E. M. Hoops, James C. Fackler, Anne King, Elizabeth Colantuoni, Aaron M. Milstone and Charlotte Woods-Hill

A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS

As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of peo...

Authors: Zeming Li and Yanning Li

An exploratory study of public’ awareness about robotics-assisted surgery in Kuwait

The adoption of robotic-assisted surgery (RAS) requires a clear willingness, not only from healthcare organization to operate the robotic system but also from the public that is going to perceive it. This stud...

Authors: Ali Jasem Buabbas, Saad Aldousari and Abrar Abdulmohsen Shehab

GUIP1: a R package for dose escalation strategies in phase I cancer clinical trials

The main objective of phase I cancer clinical trials is to identify the maximum tolerated dose, usually defined as the highest dose associated with an acceptable level of severe toxicity during the first cycle...

Authors: D. Dinart, J. Fraisse, D. Tosi, A. Mauguen, C. Touraine, S. Gourgou, M. C. Le Deley, C. Bellera and C. Mollevi

Pre-implementation adaptation of primary care cancer prevention clinical decision support in a predominantly rural healthcare system

Cancer is a leading cause of death in the United States. Primary care providers (PCPs) juggle patient cancer prevention and screening along with managing acute and chronic health problems. However, clinical de...

Authors: Melissa L. Harry, Daniel M. Saman, Anjali R. Truitt, Clayton I. Allen, Kayla M. Walton, Patrick J. O’Connor, Heidi L. Ekstrom, JoAnn M. Sperl-Hillen, Joseph A. Bianco and Thomas E. Elliott

Privacy-preserving architecture for providing feedback to clinicians on their clinical performance

Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for...

Authors: Kassaye Yitbarek Yigzaw, Andrius Budrionis, Luis Marco-Ruiz, Torje Dahle Henriksen, Peder A. Halvorsen and Johan Gustav Bellika

HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions

There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, describe...

Authors: Louis Ehwerhemuepha, Gary Gasperino, Nathaniel Bischoff, Sharief Taraman, Anthony Chang and William Feaster

Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison

Incorporating patient preference (PP) information into decision-making has become increasingly important to many stakeholders. However, there is little guidance on which patient preference assessment methods, ...

Authors: Chiara Whichello, Bennett Levitan, Juhaeri Juhaeri, Vaishali Patadia, Rachael DiSantostefano, Cathy Anne Pinto and Esther W. de Bekker-Grob

Research on Teleconsultation service quality based on multi-granularity linguistic information: the perspective of regional doctors

Due to the increasing complexity in socioeconomic environments and the ambiguity in human cognition, decision makers prefer to give linguistic cognitive information with different granularities according to th...

Authors: Wei Lu, Xin-pu Wang, Jie Zhao and Yun-kai Zhai

A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics

Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors ...

Authors: Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil R. Holland, Vida Abedi and Ramin Zand

Early warning score validation methodologies and performance metrics: a systematic review

Early warning scores (EWS) have been developed as clinical prognostication tools to identify acutely deteriorating patients. In the past few years, there has been a proliferation of studies that describe the d...

Authors: Andrew Hao Sen Fang, Wan Tin Lim and Tharmmambal Balakrishnan

Identifying essential proteins in dynamic protein networks based on an improved h-index algorithm

The essential proteins in protein networks play an important role in complex cellular functions and in protein evolution. Therefore, the identification of essential proteins in a network can help to explain th...

Authors: Caiyan Dai, Ju He, Kongfa Hu and Youwei Ding

Public preferences regarding data linkage for research: a discrete choice experiment comparing Scotland and Sweden

There are increasing examples of linking data on healthcare resource use and patient outcomes from different sectors of health and social care systems. Linked data are generally anonymised, meaning in most jur...

Authors: Mary P. Tully, Cecilia Bernsten, Mhairi Aitken and Caroline Vass

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical resea...

Authors: Thanh-Trung Giang, Thanh-Phuong Nguyen and Dang-Hung Tran

Evaluation of quality and use of health management information system in primary health care units of east Wollega zone, Oromia regional state, Ethiopia:

Health care practice relies on evidence-based decisions and needs the use of quality health care data. Health management information system (HMIS) is among the core elements of health system building blocks. I...

Authors: Mekonen Kebede, Emiru Adeba and Melese Chego

Risk management-based security evaluation model for telemedicine systems

Infectious diseases that can cause epidemics, such as COVID-19, SARS-CoV, and MERS-CoV, constitute a major social issue, with healthcare providers fearing secondary, tertiary, and even quaternary infections. T...

Authors: Dong-won Kim, Jin-young Choi and Keun-hee Han

ICT-based adherence monitoring in kidney transplant recipients: a randomized controlled trial

Prior studies have explored the use of regular reminders to improve adherence among kidney transplant recipients (KTRs), but none have included real-time alarms about drug dosage, frequency, and interval. In t...

Authors: Hee-Yeon Jung, Yena Jeon, Sook Jin Seong, Jung Ju Seo, Ji-Young Choi, Jang-Hee Cho, Sun-Hee Park, Chan-Duck Kim, Young-Ran Yoon, Se-Hee Yoon, Jong Soo Lee and Yong-Lim Kim

AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks

Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer

Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative

The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical center...

Authors: Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker and Fabian Prasser

Readability of web-based sources about induced abortion: a cross-sectional study

High-quality information is essential if clients who request an abortion are to reach informed decisions and feel prepared for the procedure, but little is known concerning the readability of web-based sources...

Authors: Susanne Georgsson and Tommy Carlsson

360-degree Delphi: addressing sociotechnical challenges of healthcare IT

IT systems in the healthcare field can have a marked sociotechnical impact: they modify communication habits, alter clinical processes and may have serious ethical implications. The introduction of such system...

Authors: Heiko Waldmüller, Cord Spreckelsen, Hannah Rudat, Norbert Krumm, Roman Rolke and Stephan Michael Jonas

Does health information technology improve acknowledgement of radiology results for discharged Emergency Department patients? A before and after study

The inadequate follow-up of test results is a key patient safety concern, carrying severe consequences for care outcomes. Patients discharged from the emergency department are at particular risk of having test...

Authors: Julie Li, Richard Paoloni, Ling Li, Joanne Callen, Johanna I. Westbrook, William B. Runciman and Andrew Georgiou

Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning

The Elliot wave principle commonly characterizes the impulsive and corrective wave trends for both financial market trends and electrocardiograms. The impulsive wave trends of electrocardiograms can annotate s...

Authors: Jong-Rul Park, Sung Phil Chung, Sung Yeon Hwang, Tae Gun Shin and Jong Eun Park

The considerations, experiences and support needs of family members making treatment decisions for patients admitted with major stroke: a qualitative study

Treatment decision-making by family members on behalf of patients with major stroke can be challenging because of the shock of the diagnosis and lack of knowledge of the patient’s treatment preferences. We aim...

Authors: A. Visvanathan, G. E. Mead, M. Dennis, W. N. Whiteley, F. N. Doubal and J. Lawton

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach

Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques cou...

Authors: Simone A. Cammel, Marit S. De Vos, Daphne van Soest, Kristina M. Hettne, Fred Boer, Ewout W. Steyerberg and Hileen Boosman

Facilitating the design of HL7 domain models through a model-driven solution

Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows definin...

Authors: M. A. Olivero, F. J. Domínguez-Mayo, C. L. Parra-Calderón, M. J. Escalona and A. Martínez-García

A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example

Constrained budgets within healthcare systems and the need to efficiently allocate resources often necessitate the valuation of healthcare interventions and services. However, when a technological product is d...

Authors: Emmanouil Mentzakis, Daria Tkacz and Carol Rivas

Implementation and comparison of two text mining methods with a standard pharmacovigilance method for signal detection of medication errors

Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information i...

Authors: Nadine Kadi Eskildsen, Robert Eriksson, Sten B. Christensen, Tamilla Stine Aghassipour, Mikael Juul Bygsø, Søren Brunak and Suzanne Lisbet Hansen

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

An amendment to this paper has been published and can be accessed via the original article.

Authors: Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily and Mohammed Khalaf

Preparing for an orthopedic consultation using an eHealth tool: a randomized controlled trial in patients with hip and knee osteoarthritis

To evaluate the effect of a stand-alone mobile and web-based educational intervention (eHealth tool) compared to usual preparation of a first orthopedic consultation of patients with hip or knee osteoarthritis...

Authors: Aniek A. O. M. Claassen, Henk J. Schers, Vincent J. J. F. Busch, Petra J. C. Heesterbeek, Frank H. J. van den Hoogen, Thea P. M. Vliet Vlieland and Cornelia H. M. van den Ende