Articles

Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients

In medical diagnosis and clinical practice, diagnosing a disease early is crucial for accurate treatment, lessening the stress on the healthcare system. In medical imaging research, image processing techniques...

Authors: Kinshuk Sengupta and Praveen Ranjan Srivastava

A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging

Computed tomography (CT) reports record a large volume of valuable information about patients’ conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-...

Authors: Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu and Xudong Lu

Study on structured method of Chinese MRI report of nasopharyngeal carcinoma

Image text is an important text data in the medical field at it can assist clinicians in making a diagnosis. However, due to the diversity of languages, most descriptions in the image text are unstructured dat...

Authors: Xin Huang, Hui Chen and Jing-Dong Yan

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods i...

Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang and Tianyong Hao

Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods

Regional citrate anticoagulation (RCA) is an important local anticoagulation method during bedside continuous renal replacement therapy. To improve patient safety and achieve computer assisted dose monitoring ...

Authors: Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Liu, Jie He, Huizhen Jiang, Yun Long and Weiguo Zhu

Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN

Epilepsy is one of the diseases of the nervous system, which has a large population in the world. Traditional diagnosis methods mostly depended on the professional neurologists’ reading of the electroencephalo...

Authors: Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, Ziyi Chen and Yi Zhou

A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification

As proven to reflect the work state of heart and physiological situation objectively, electrocardiogram (ECG) is widely used in the assessment of human health, especially the diagnosis of heart disease. The ac...

Authors: Guixiang Li, Zhongwei Tan, Weikang Xu, Fei Xu, Lei Wang, Jun Chen and Kai Wu

Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data

The influenza surveillance has been received much attention in public health area. For the cases with excessive zeroes, the zero-inflated Poisson process is widely used. However, the traditional control charts...

Authors: Yueying Tan, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka-chun Chong, Paul K. S. Chan and Jing Tang

CapsTM: capsule network for Chinese medical text matching

Text Matching (TM) is a fundamental task of natural language processing widely used in many application systems such as information retrieval, automatic question answering, machine translation, dialogue system...

Authors: Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen and Buzhou Tang

Transformers-sklearn: a toolkit for medical language understanding with transformer-based models

Transformer is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the difficulty of beginning to use transformer-based models in medical language und...

Authors: Feihong Yang, Xuwen Wang, Hetong Ma and Jiao Li

A deep semantic segmentation correction network for multi-model tiny lesion areas detection

Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is of significant importance for the automatic screening of tiny cerebral lesions a...

Authors: Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan and Benzheng Wei

A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields

The misestimation of surgical risk is a serious threat to the lives of patients when implementing surgical risk calculator. Improving the accuracy of postoperative risk prediction has received much attention a...

Authors: Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai and Ci-ren Guo

Multi-label classification of fundus images based on graph convolutional network

Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal di...

Authors: Yinlin Cheng, Mengnan Ma, Xingyu Li and Yi Zhou

Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network

Epilepsy was defined as an abnormal brain network model disease in the latest definition. From a microscopic perspective, it is also particularly important to observe the Mutual Information (MI) of the whole b...

Authors: Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, Ziyi Chen and Yi Zhou

Selection strategy for sedation depth in critically ill patients on mechanical ventilation

Analgesia and sedation therapy are commonly used for critically ill patients, especially mechanically ventilated patients. From the initial nonsedation programs to deep sedation and then to on-demand sedation,...

Authors: Longxiang Su, Chun Liu, Fengxiang Chang, Bo Tang, Lin Han, Huizhen Jiang, Weiguo Zhu, Na Hong, Xiang Zhou and Yun Long

The trend of direct medical costs and associated factors in patients with chronic hepatitis B in Guangzhou, China: an eight-year retrospective cohort study

Although the expenses of liver cirrhosis are covered by a critical illness fund under the current health insurance program in China, the medical costs associated with hepatitis B virus (HBV) related diseases i...

Authors: Shuo Yang, Ge Chen, Yueping Li, Guanhai Li, Yingfang Liang, Feng Zhou, Shudong Zhou, Yi Yang, Weidong Jia, Yanhui Gao and Yue Chen

Learning rich features with hybrid loss for brain tumor segmentation

Accurately segment the tumor region of MRI images is important for brain tumor diagnosis and radiotherapy planning. At present, manual segmentation is wildly adopted in clinical and there is a strong need for ...

Authors: Daobin Huang, Minghui Wang, Ling Zhang, Haichun Li, Minquan Ye and Ao Li

Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records

A new learning-based patient similarity measurement was proposed to measure patients’ similarity for heterogeneous electronic medical records (EMRs) data.

Authors: Ni Wang, Yanqun Huang, Honglei Liu, Zhiqiang Zhang, Lan Wei, Xiaolu Fei and Hui Chen

The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers

Diabetes mellitus is a major chronic disease that results in readmissions due to poor disease control. Here we established and compared machine learning (ML)-based readmission prediction methods to predict rea...

Authors: Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong and Huiqun Wu

AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas

Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is diffic...

Authors: Yidi Cui, Bo Gao, Lihong Liu, Jing Liu and Yan Zhu

Medical code prediction via capsule networks and ICD knowledge

Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classification of Diseases (ICD) codes are important labels for electronic hea...

Authors: Weidong Bao, Hongfei Lin, Yijia Zhang, Jian Wang and Shaowu Zhang

Investigation of patients’ access to EHR data via smart apps in Chinese Hospitals

Given that China has encouraged EHR usage in hospitals for more than a decade, patients’ access to their own EHR data is still not as widely utilized as expected.

Authors: Ting Shu, Fan Xu, Hongxia Li and Wei Zhao

Implementation of an Electronic Medication Management System in a large tertiary hospital: a case of qualitative inquiry

Hospitals across Australia are implementing Clinical Information Systems, e.g. Electronic Medication Management Systems (EMMS) at a rapid pace to moderate health services. The benefits of the EMMS depend on th...

Authors: Milan Rasikbhai Vaghasiya, Jonathan Penm, Kevin K. Y. Kuan, Naren Gunja, Yiren Liu, Eui Dong Kim, Neysa Petrina and Simon Poon

Development and field testing of a patient decision aid for management of acute Achilles tendon rupture: a study protocol

Achilles tendon ruptures are common injuries in an otherwise healthy, active population. Several treatment options exist, with both surgical and non-surgical options. Each treatment option has a unique set of ...

Authors: Brad Meulenkamp, Julia Brillinger, Dean Fergusson, Dawn Stacey and Ian D. Graham

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models

Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own mode...

Authors: William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta and Houshang Darabi

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology

Testing a hypothesis for ‘factors-outcome effect’ is a common quest, but standard statistical regression analysis tools are rendered ineffective by data contaminated with too many noisy variables. Expert Syste...

Authors: Hesham Salem, Daniele Soria, Jonathan N. Lund and Amir Awwad

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

The increasing prevalence of childhood obesity makes it essential to study the risk factors with a sample representative of the population covering more health topics for better preventive policies and interve...

Authors: Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao and Bart De Moor

Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey

Healthcare is expected to increasingly integrate technologies enabled by artificial intelligence (AI) into patient care. Understanding perceptions of these tools is essential to successful development and adop...

Authors: Alison L. Antes, Sara Burrous, Bryan A. Sisk, Matthew J. Schuelke, Jason D. Keune and James M. DuBois

Correction to: Supporting the classifcation of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

Authors: Fabián Villena, Jorge Pérez, René Lagos and Jocelyn Dunstan

Exploring polypharmacy with artificial intelligence: data analysis protocol

Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of ...

Authors: Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard

Factors associated with nurses' user resistance to change of electronic health record systems

Electronic health record (EHR) systems often face user resistance in hospitals, which results in a failure to acquire their full benefits. To implement the EHR successfully, it is crucial to reduce nurses’ res...

Authors: Younghee Cho, Mihui Kim and Mona Choi

Pharmaceutical mobile application for visually-impaired people in Thailand: development and implementation

Most mobile pharmaceutical applications produced for people with visual disabilities in Thailand fail to meet the required standard due to poor-quality regulations, defective design, lack of user support and i...

Authors: Acrapol Nimmolrat, Pattaraporn Khuwuthyakorn, Purida Wientong and Orawit Thinnukool

AFibNet: an implementation of atrial fibrillation detection with convolutional neural network

Generalization model capacity of deep learning (DL) approach for atrial fibrillation (AF) detection remains lacking. It can be seen from previous researches, the DL model formation used only a single frequency...

Authors: Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Ria Esafri, Firdaus Firdaus and Ade Iriani Sapitri

Health literacy and health outcomes in patients with low back pain: a scoping review

Low back pain is a leading cause of disability worldwide. Health literacy has been associated with pain intensity and pain control. However, there is a paucity of evidence regarding this association. In the fi...

Authors: Ye King Clarence See, Helen Elizabeth Smith, Lorainne Tudor Car, Joanne Protheroe, Wei Cong Wong and Bernadette Bartlam

Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing

A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of accurate automated prot...

Authors: Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L. Chen, Gunvant R. Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid and Jae Ho Sohn

Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology

In oncology, decision-making in individual situations is often very complex. To deal with such complexity, people tend to reduce it by relying on their initial intuition. The downside of this intuitive, subjec...

Authors: Fabio Dennstädt, Theresa Treffers, Thomas Iseli, Cédric Panje and Paul Martin Putora

Explaining multivariate molecular diagnostic tests via Shapley values

Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or ...

Authors: Joanna Roder, Laura Maguire, Robert Georgantas III and Heinrich Roder

Designing a reference architecture for health information systems

Healthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper archite...

Authors: Joep Tummers, Hilde Tobi, Cagatay Catal and Bedir Tekinerdogan

Correction to: Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis

Authors: Jose Francisco Meneses-Echavez, Sarah Rosenbaum, Gabriel Rada, Signe Flottorp, Jenny Moberg and Pablo Alonso-Coello

Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensures, by la...

Authors: Fabián Villena, Jorge Pérez, René Lagos and Jocelyn Dunstan

Patient similarity analytics for explainable clinical risk prediction

Clinical risk prediction models (CRPMs) use patient characteristics to estimate the probability of having or developing a particular disease and/or outcome. While CRPMs are gaining in popularity, they have yet...

Authors: Hao Sen Andrew Fang, Ngiap Chuan Tan, Wei Ying Tan, Ronald Wihal Oei, Mong Li Lee and Wynne Hsu

Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs ...

Authors: Sanna Iivanainen, Jussi Ekstrom, Henri Virtanen, Vesa V. Kataja and Jussi P. Koivunen

The future of medical scribes documenting in the electronic health record: results of an expert consensus conference

With the use of electronic health records (EHRs) increasing and causing unintended negative consequences, the medical scribe profession has burgeoned, but it has yet to be regulated. The purpose of this study ...

Authors: Sky Corby, Keaton Whittaker, Joan S. Ash, Vishnu Mohan, James Becton, Nicholas Solberg, Robby Bergstrom, Benjamin Orwoll, Christopher Hoekstra and Jeffrey A. Gold

Decision aids linked to evidence summaries and clinical practice guidelines: results from user-testing in clinical encounters

Tools for shared decision-making (e.g. decision aids) are intended to support health care professionals and patients engaged in clinical encounters involving shared decision-making. However, decision aids are ...

Authors: Anja Fog Heen, Per Olav Vandvik, Linn Brandt, Frankie Achille, Gordon Henry Guyatt, Elie A. Akl, Shaun Treewek and Thomas Agoritsas

Diabetes self-management in online health communities: an information exchange perspective

Online health communities (OHCs), with a wealth of multi-source information exchange, have provided a convenient way for people with diabetes to actively participate in their self-management and have been wide...

Authors: Jing Min, Yan Chen, Li Wang, Ting He and Sha Tang

On the predictability of postoperative complications for cancer patients: a Portuguese cohort study

Postoperative complications are still hard to predict despite the efforts towards the creation of clinical risk scores. The published scores contribute for the creation of specialized tools, but with limited p...

Authors: Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos and Rafael S. Costa

Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information shar...

Authors: Bo Sun, Fei Zhang, Jing Li, Yicheng Yang, Xiaolin Diao, Wei Zhao and Ting Shu

Usefulness of smartphone use among surgeons in clinical practice during the pandemic of COVID-19: a cross-sectional study

With the magnitude and severity of the COVID-19 pandemic, the usual face-to-face consultation within a clinical setting is no longer feasible. Thus, this led to the need for alternate means to provide adequate...

Authors: Ali Jasem Buabbas, Saad Aldousari, Adel K. Ayed, Maryam Safar and Omar Alkandari

Drug use pattern using WHO core drug use indicators in public health centers of Dessie, North-East Ethiopia

Rational drug use requires that patients receive and take medication appropriately. Though the process of diagnosis and pharmaceutical care is complex, World Health Organization (WHO)/international network for...

Authors: Teklehaimanot Fentie Wendie, Abdulmejid Ahmed and Solomon Ahmed Mohammed

Key changes to improve social presence of a virtual health assistant promoting colorectal cancer screening informed by a technology acceptance model

Understanding how older, minoritized patients attend to cues when interacting with web-based health messages may provide opportunities to improve engagement with novel health technologies. We assess acceptance...

Authors: Melissa J. Vilaro, Danyell S. Wilson-Howard, Mohan S. Zalake, Fatemeh Tavassoli, Benjamin C. Lok, François P. Modave, Thomas J. George, Folakemi Odedina, Peter J. Carek and Janice L. Krieger