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Standards, technology, machine learning, and modeling

Section edited by Andreas Holzinger

This section considers manuscripts that investigate data analysis, data mining and machine learning in healthcare systems, disease prediction, forecasting and modeling, as well as studies in advanced information and data management systems, and knowledge bases.

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  1. Computer Aided Diagnostics (CAD) can support medical practitioners to make critical decisions about their patients’ disease conditions. Practitioners require access to the chain of reasoning behind CAD to buil...

    Authors: Julian Hatwell, Mohamed Medhat Gaber and R. Muhammad Atif Azad

    Citation: BMC Medical Informatics and Decision Making 2020 20:250

    Content type: Technical advance

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  2. Differentiating between ulcerative colitis (UC), Crohn’s disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases...

    Authors: Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu and Jiaming Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:248

    Content type: Research article

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  3. The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.

    Authors: Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu…

    Citation: BMC Medical Informatics and Decision Making 2020 20:247

    Content type: Research article

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  4. Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, ...

    Authors: Zini Jian, Xianpei Wang, Jingzhe Zhang, Xinyu Wang and Youbin Deng

    Citation: BMC Medical Informatics and Decision Making 2020 20:243

    Content type: Research article

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  5. Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients’ outcomes and...

    Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu

    Citation: BMC Medical Informatics and Decision Making 2020 20:238

    Content type: Research article

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  6. Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, a...

    Authors: Yihuai Huang, Chao Xu, Mengzhong Ji, Wei Xiang and Da He

    Citation: BMC Medical Informatics and Decision Making 2020 20:237

    Content type: Research article

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  7. The diagnosis between benign and malignant gallbladder lesions is sometimes difficult. The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endosc...

    Authors: Xue Liang and Xiang Jing

    Citation: BMC Medical Informatics and Decision Making 2020 20:235

    Content type: Research article

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  8. Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8–30 days). We assessed how well a previously validated 30-day ...

    Authors: Sameh N. Saleh, Anil N. Makam, Ethan A. Halm and Oanh Kieu Nguyen

    Citation: BMC Medical Informatics and Decision Making 2020 20:227

    Content type: Research article

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  9. Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manu...

    Authors: Hong Zhu, Qianhao Fang, Yihe Huang and Kai Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:215

    Content type: Research article

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  10. Automated systems that use machine learning to estimate a patient’s risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpop...

    Authors: Vincent J. Major and Yindalon Aphinyanaphongs

    Citation: BMC Medical Informatics and Decision Making 2020 20:214

    Content type: Research article

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  11. The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnos...

    Authors: Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma and Raji Balasubramanian

    Citation: BMC Medical Informatics and Decision Making 2020 20:212

    Content type: Research article

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  12. Multi-drug intravenous (IV) therapy is one of the most common medical procedures used in intensive care units (ICUs), operating rooms, oncology wards and many other hospital departments worldwide. As drugs or ...

    Authors: Frank Doesburg, Roy Oelen, Maurits H. Renes, Wouter Bult, Daan J. Touw and Maarten W. Nijsten

    Citation: BMC Medical Informatics and Decision Making 2020 20:206

    Content type: Research article

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  13. Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data ...

    Authors: Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei and Bo Jin

    Citation: BMC Medical Informatics and Decision Making 2020 20:204

    Content type: Technical advance

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  14. Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between ...

    Authors: Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch II, Gayla R. Olbricht, Sima Azizi and Blaine Allen

    Citation: BMC Medical Informatics and Decision Making 2020 20:203

    Content type: Research article

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  15. Methods of data mining and analytics can be efficiently applied in medicine to develop models that use patient-specific data to predict the development of diabetic polyneuropathy. However, there is room for im...

    Authors: Oleg Metsker, Kirill Magoev, Alexey Yakovlev, Stanislav Yanishevskiy, Georgy Kopanitsa, Sergey Kovalchuk and Valeria V. Krzhizhanovskaya

    Citation: BMC Medical Informatics and Decision Making 2020 20:201

    Content type: Research article

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  16. Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely link...

    Authors: Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Swen Malte John and Ursula Hübner

    Citation: BMC Medical Informatics and Decision Making 2020 20:200

    Content type: Research article

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  17. Surgical resection of pheochromocytoma may lead to high risk factors for intraoperative hemodynamic instability (IHD), which can be life-threatening. This study aimed to investigate the risk factors that could...

    Authors: Yueyang Zhao, Li Fang, Lei Cui and Song Bai

    Citation: BMC Medical Informatics and Decision Making 2020 20:165

    Content type: Research article

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  18. One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, the latter of which is associated with a signi...

    Authors: Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto and Feng Cui

    Citation: BMC Medical Informatics and Decision Making 2020 20:162

    Content type: Research article

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  19. The healthcare sector is an interesting target for fraudsters. The availability of a great amount of data makes it possible to tackle this issue with the adoption of data mining techniques, making the auditing...

    Authors: Michela Carlotta Massi, Francesca Ieva and Emanuele Lettieri

    Citation: BMC Medical Informatics and Decision Making 2020 20:160

    Content type: Technical advance

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  20. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:155

    Content type: Research article

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  21. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:152

    Content type: Technical Advance

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  22. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:147

    Content type: Technical advance

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  23. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:143

    Content type: Research article

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  24. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:112

    Content type: Research article

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  25. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:110

    Content type: Research article

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  26. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:108

    Content type: Research article

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  27. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:104

    Content type: Research Article

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  28. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:103

    Content type: Technical advance

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  29. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:97

    Content type: Research article

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  30. 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

    Citation: BMC Medical Informatics and Decision Making 2020 20:96

    Content type: Research article

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  31. Systematic, automated methods for monitoring physician performance are necessary if outlying behavior is to be detected promptly and acted on. In the Michigan Urological Surgery Improvement Collaborative (MUSI...

    Authors: Michael Inadomi, Karandeep Singh, Ji Qi, Rodney Dunn, Susan Linsell, Brian Denton, Patrick Hurley, Eduardo Kleer, James Montie and Khurshid R. Ghani

    Citation: BMC Medical Informatics and Decision Making 2020 20:89

    Content type: Research article

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  32. Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the mos...

    Authors: Yang Cao, Gary A. Bass, Rebecka Ahl, Arvid Pourlotfi, Håkan Geijer, Scott Montgomery and Shahin Mohseni

    Citation: BMC Medical Informatics and Decision Making 2020 20:86

    Content type: Research article

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  33. Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased heal...

    Authors: Hang Qiu, Lin Luo, Ziqi Su, Li Zhou, Liya Wang and Yucheng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:83

    Content type: Research article

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  34. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar

    Citation: BMC Medical Informatics and Decision Making 2020 20:79

    Content type: Research article

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  35. Data quality assessment presents a challenge for research using coded administrative health data. The objective of this study is to develop and validate a set of coding association rules for coded diagnostic d...

    Authors: Mingkai Peng, Sangmin Lee, Adam G. D’Souza, Chelsea T. A. Doktorchik and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2020 20:75

    Content type: Research article

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  36. Drug label, or packaging insert play a significant role in all the operations from production through drug distribution channels to the end consumer. Image of the label also called Display Panel or label could...

    Authors: Xiangwen Liu, Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu and Joshua Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:68

    Content type: Research article

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  37. The International Classification of Diseases, 10th Revision (ICD-10) has been widely used to describe the diagnosis information of patients. Automatic ICD-10 coding is important because manually assigning code...

    Authors: Lingling Zhou, Cheng Cheng, Dong Ou and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2020 20:67

    Content type: Research article

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  38. In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for...

    Authors: Tingting Zhang, Yaqiang Wang, Xiaofeng Wang, Yafei Yang and Ying Ye

    Citation: BMC Medical Informatics and Decision Making 2020 20:64

    Content type: Research article

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  39. Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simp...

    Authors: Chonghui Guo, Menglin Lu and Jingfeng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:48

    Content type: Research Article

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  40. The detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature rev...

    Authors: Harsh Bhasin and Ramesh Kumar Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:37

    Content type: Research article

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  41. Acute Kidney Injury (AKI) is common among inpatients. Severe AKI increases all-cause mortality especially in critically ill patients. Older patients are more at risk of AKI because of the declined renal functi...

    Authors: Yi-Shian Chen, Che-Yi Chou and Arbee L.P. Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:36

    Content type: Research article

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  42. Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning model...

    Authors: Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:29

    Content type: Software

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  43. A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects...

    Authors: J. Wolff, A. Gary, D. Jung, C. Normann, K. Kaier, H. Binder, K. Domschke, A. Klimke and M. Franz

    Citation: BMC Medical Informatics and Decision Making 2020 20:21

    Content type: Research article

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  44. Data masking is an inborn defect of measures of disproportionality in adverse drug reactions (ADRs) signal detection. Many previous studies can be roughly classified into three categories: data removal, regres...

    Authors: Jian-Xiang Wei, Yue Ding, Ming Li and Jun Sun

    Citation: BMC Medical Informatics and Decision Making 2020 20:18

    Content type: Research article

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  45. Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enou...

    Authors: Davide Chicco and Giuseppe Jurman

    Citation: BMC Medical Informatics and Decision Making 2020 20:16

    Content type: Research Article

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  46. Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, y...

    Authors: Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira…

    Citation: BMC Medical Informatics and Decision Making 2020 20:14

    Content type: Research article

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  47. Cloud storage facilities (CSF) has become popular among the internet users. There is limited data on CSF usage among university students in low middle-income countries including Sri Lanka. In this study we pre...

    Authors: Samankumara Hettige, Eshani Dasanayaka and Dileepa Senajith Ediriweera

    Citation: BMC Medical Informatics and Decision Making 2020 20:10

    Content type: Research article

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  1. As the amount of information in electronic health care systems increases, data operations get more complicated and time-consuming. Intensive Care platforms require a timely processing of data retrievals to gua...

    Authors: Kristof Steurbaut, Steven Latré, Johan Decruyenaere and Filip De Turck

    Citation: BMC Medical Informatics and Decision Making 2013 13:120

    Content type: Research article

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