Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool
Chronic pain has emerged as a disease in itself, affecting a growing number of people. Effective patient-provider communication is central to good pain management because pain can only be understood from the p... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 17, 2020 Category: Information Technology Authors: Nananda Col, Stephen Hull, Vicky Springmann, Long Ngo, Ernie Merritt, Susan Gold, Michael Sprintz, Noel Genova, Noah Nesin, Brenda Tierman, Frank Sanfilippo, Richard Entel and Lori Pbert Tags: Research article Source Type: research

Network analysis of autistic disease comorbidities in Chinese children based on ICD-10 codes
Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 17, 2020 Category: Information Technology Authors: Xiaojun Li, Guangjian Liu, Wenxiong Chen, Zhisheng Bi and Huiying Liang Tags: Research article Source Type: research

Outbreak minimization v.s. influence maximization: an optimization framework
An effective approach to containing epidemic outbreaks (e.g., COVID-19) is targeted immunization, which involves identifying “super spreaders” who play a key role in spreading disease over human contact networ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 16, 2020 Category: Information Technology Authors: Chun-Hung Cheng, Yong-Hong Kuo and Ziye Zhou Tags: Research article Source Type: research

Pelvic organ prolapse and treatment decisions – developing an online preference-sensitive tool to support shared decisions
Female patients with pelvic organ prolapse and clinicians need to take decisions regarding treatment that are often unpredictable in relation to how they impact the future everyday lives of the patients. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 15, 2020 Category: Information Technology Authors: Mette Hulbaek, Eva Knutz, Niels Teglhus Ebbesen, Jette Primdahl, Jesper Bo Nielsen and Regner Birkelund Tags: Research article Source Type: research

Violence detection explanation via semantic roles embeddings
Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descr... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 15, 2020 Category: Information Technology Authors: Enrico Mensa, Davide Colla, Marco Dalmasso, Marco Giustini, Carlo Mamo, Alessio Pitidis and Daniele P. Radicioni Tags: Research article Source Type: research

Effective attention-based network for syndrome differentiation of AIDS
Syndrome differentiation aims at dividing patients into several types according to their clinical symptoms and signs, which is essential for traditional Chinese medicine (TCM). Several previous works were devo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 15, 2020 Category: Information Technology Authors: Huaxin Pang, Shikui Wei, Yufeng Zhao, Liyun He, Jian Wang, Baoyan Liu and Yao Zhao Tags: Research article Source Type: research

Using data science for medical decision making case: role of gut microbiome in multiple sclerosis
A decade ago, the advancements in the microbiome data sequencing techniques initiated the development of research of the microbiome and its relationship with the host organism. The development of sophisticated... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 12, 2020 Category: Information Technology Authors: Jasminka Hasic Telalovic and Azra Music Tags: Research article Source Type: research

How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists
Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 9, 2020 Category: Information Technology Authors: Romaric Marcilly, Laura Douze, S ébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le Louët, Jean-Baptiste Lamy and Cédric Bousquet Tags: Research article Source Type: research

A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare
There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 8, 2020 Category: Information Technology Authors: Amie J. Barda, Christopher M. Horvat and Harry Hochheiser Tags: Research article Source Type: research

A realism-based approach to an ontological representation of symbiotic interactions
The symbiotic interactions that occur between humans and organisms in our environment have a tremendous impact on our health. Recently, there has been a surge in interest in understanding the complex relations... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 8, 2020 Category: Information Technology Authors: Matthew Diller, Evan Johnson, Amanda Hicks and William R. Hogan Tags: Research article Source Type: research

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis
At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 8, 2020 Category: Information Technology Authors: Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang and Jinhong Zhong Tags: Research article Source Type: research

Leveraging hybrid biomarkers in clinical endpoint prediction
Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 an... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 7, 2020 Category: Information Technology Authors: Maliazurina Saad and Ik Hyun Lee Tags: Research article Source Type: research

Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology
Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 7, 2020 Category: Information Technology Authors: Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher and Muhammad Nazrul Islam Tags: Research article Source Type: research

A mixed methods systematic review of the effects of patient online self-diagnosing in the ‘smart-phone society’ on the healthcare professional-patient relationship and medical authority
As technology continues to advance, the internet is becoming increasingly popular. Self-diagnosis and health information seeking online is growing more common and it will be important to understand the influen... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 6, 2020 Category: Information Technology Authors: Annabel Farnood, Bridget Johnston and Frances S. Mair Tags: Review Source Type: research

Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
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... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 2, 2020 Category: Information Technology Authors: Julian Hatwell, Mohamed Medhat Gaber and R. Muhammad Atif Azad Tags: Technical advance Source Type: research

Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
This study aimed to develop machine ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 2, 2020 Category: Information Technology Authors: Guilan Kong, Ke Lin and Yonghua Hu Tags: Research article Source Type: research

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data
With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using onl... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 2, 2020 Category: Information Technology Authors: Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn and Michael A. Rosenberg Tags: Research article Source Type: research

The FeverApp registry – ecological momentary assessment (EMA) of fever management in families regarding conformity to up-to-date recommendations
Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 1, 2020 Category: Information Technology Authors: David Martin, Jana Wachtmeister, Kai Ludwigs and Ekkehart Jenetzky Tags: Study protocol Source Type: research

Korean clinical entity recognition from diagnosis text using BERT
While clinical entity recognition mostly aims at electronic health records (EHRs), there are also the demands of dealing with the other type of text data. Automatic medical diagnosis is an example of new appli... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 30, 2020 Category: Information Technology Authors: Young-Min Kim and Tae-Hoon Lee Tags: Research Source Type: research

EDDAMAP: efficient data-dependent approach for monitoring asymptomatic patient
A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assumi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 29, 2020 Category: Information Technology Authors: Daniel Adu-Gyamfi, Fengli Zhang and Albert Kofi Kwansah Ansah Tags: Research article Source Type: research

Analyzing medical device connectivity and its effect on cyber security in german hospitals
Modern healthcare devices can be connected to computer networks and many western healthcare institutions run those devices in networks. At the same time, cyber attacks are on the rise and there is evidence tha... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 29, 2020 Category: Information Technology Authors: Markus Willing, Christian Dresen, Uwe Haverkamp and Sebastian Schinzel Tags: Research article Source Type: research

Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
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. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 29, 2020 Category: Information Technology 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 & hellip; Tags: Research article Source Type: research

Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches
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... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 29, 2020 Category: Information Technology Authors: Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu and Jiaming Qian Tags: Research article Source Type: research

Diagnosis of left ventricular hypertrophy using convolutional neural network
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, ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 25, 2020 Category: Information Technology Authors: Zini Jian, Xianpei Wang, Jingzhe Zhang, Xinyu Wang and Youbin Deng Tags: Research article Source Type: research

Healthcare managers ’ experiences of technostress and the actions they take to handle it – a critical incident analysis
Healthcare managers, in comparison with other healthcare professionals, have an increased likelihood of experiencing technostress at work. Since knowledge about the causes and severity of technostress and abou... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 25, 2020 Category: Information Technology Authors: Magdalena Stadin, Maria Nordin, Eleonor I. Fransson and Anders Brostr öm Tags: Research article Source Type: research

Identification of plasma lipid species as promising diagnostic markers for prostate cancer
Prostate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urg... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 24, 2020 Category: Information Technology Authors: Xiaoli Chen, Yong Zhu, Mayumi Jijiwa, Masaki Nasu, Junmei Ai, Shengming Dai, Bin Jiang, Jicai Zhang, Gang Huang and Youping Deng Tags: Research Source Type: research

Iterative sure independent ranking and screening for drug response prediction
Prediction of drug response based on multi-omics data is a crucial task in the research of personalized cancer therapy. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 22, 2020 Category: Information Technology Authors: Biao An, Qianwen Zhang, Yun Fang, Ming Chen and Yufang Qin Tags: Research Source Type: research

A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea
Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limit... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 22, 2020 Category: Information Technology Authors: Jin-Hyeok Park, Jeong-Heum Baek, Sun Jin Sym, Kang Yoon Lee and Youngho Lee Tags: Research article Source Type: research

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model
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... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 21, 2020 Category: Information Technology Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu Tags: Research article Source Type: research

The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions
The present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 21, 2020 Category: Information Technology Authors: Ya-Nan Jin, Yan Zhang, Jing-Liang Cheng, Xiao-Pan Zhang, Ying Hu and Xiao-Ning Shao Tags: Research article Source Type: research

Nurses ’ experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran
This study aimed to ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 21, 2020 Category: Information Technology Authors: Jamileh Farokhzadian, Reza Khajouei, Arie Hasman and Leila Ahmadian Tags: Research article Source Type: research

Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method
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... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 19, 2020 Category: Information Technology Authors: Yihuai Huang, Chao Xu, Mengzhong Ji, Wei Xiang and Da He Tags: Research article Source Type: research

A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development
Today ’s healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworth... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 18, 2020 Category: Information Technology Authors: Md Tarique Jamal Ansari, Fahad Ahmed Al-Zahrani, Dhirendra Pandey and Alka Agrawal Tags: Research article Source Type: research

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 17, 2020 Category: Information Technology Authors: Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik and Norbert Skokauskas Tags: Study protocol Source Type: research

Clinicians perceptions of a telemedicine system: a mixed method study of Makassar City, Indonesia
This case study in Makassar City, Indonesia aims to investigate the clinicians ’ perceptions, including both satisfaction and barriers in using telemedicine in a large, established program which supported 3974 ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 17, 2020 Category: Information Technology Authors: Dea Indria, Mohannad Alajlani and Hamish SF. Fraser Tags: Research article Source Type: research

Qualitative analysis of clinicians ’ perspectives on the use of a computerized decision aid in the treatment of psychotic disorders
Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Tr... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 17, 2020 Category: Information Technology Authors: Lukas O. Roebroek, Jojanneke Bruins, Philippe Delespaul, Albert Boonstra and Stynke Castelein Tags: Research article Source Type: research

Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy
The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endosc... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 17, 2020 Category: Information Technology Authors: Xue Liang and Xiang Jing Tags: Research article Source Type: research

The efficiency and effectiveness of surgery information systems in Iran
Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information sy... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 16, 2020 Category: Information Technology Authors: Faezeh Abbasi, Reza Khajouei and Moghaddameh Mirzaee Tags: Research article Source Type: research

Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study
Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 16, 2020 Category: Information Technology Authors: Jannik Schaaf, Hans-Ulrich Prokosch, Martin Boeker, Johanna Schaefer, Jessica Vasseur, Holger Storf and Martin Sedlmayr Tags: Research article Source Type: research

How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy
IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 16, 2020 Category: Information Technology Authors: Anna R. Gagliardi, Heather N. Reich, Daniel C. Cattran and Sean J. Barbour Tags: Research article Source Type: research

Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
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 ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 15, 2020 Category: Information Technology Authors: Sameh N. Saleh, Anil N. Makam, Ethan A. Halm and Oanh Kieu Nguyen Tags: Research article Source Type: research

Gradient boosting for Parkinson ’s disease diagnosis from voice recordings
Parkinson ’s Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which oft... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 15, 2020 Category: Information Technology Authors: Ibrahim Karabayir, Samuel M. Goldman, Suguna Pappu and Oguz Akbilgic Tags: Research article Source Type: research

Definitions, components and processes of data harmonisation in healthcare: a scoping review
Data harmonisation (DH) has emerged amongst health managers, information technology specialists and researchers as an important intervention for routine health information systems (RHISs). It is important to u... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 14, 2020 Category: Information Technology Authors: Bey-Marri é Schmidt, Christopher J. Colvin, Ameer Hohlfeld and Natalie Leon Tags: Research article Source Type: research

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
We focus on the importance of interpreting the quality of the labeling used as the input of predictive models to understand the reliability of their output in support of human decision-making, especially in cr... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 11, 2020 Category: Information Technology Authors: Federico Cabitza, Andrea Campagner and Luca Maria Sconfienza Tags: Research article Source Type: research

Improving the informatics competency of critical care nurses: results of an interventional study in the southeast of Iran
Nursing informatics (NI) along with growth and development of health information technology (HIT) is becoming a fundamental part of all domains of nursing practice especially in critical care settings. Nurses ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 11, 2020 Category: Information Technology Authors: Somayeh Jouparinejad, Golnaz Foroughameri, Reza Khajouei and Jamileh Farokhzadian Tags: Research article Source Type: research

Availability, price, and affordability of WHO priority maternal and child health medicine in public health facilities of Dessie, north-East Ethiopia
Access to health care is a fundamental human right, and the provision of affordable, high-quality, and appropriate medicines for maternal and child health is a vital component of a well-functioning health syst... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 11, 2020 Category: Information Technology Authors: Abel Demerew Hailu and Solomon Ahmed Mohammed Tags: Research article Source Type: research

Challenges and opportunities for telehealth in the management of chronic obstructive pulmonary disease: a qualitative case study in Greece
Telehealth (TH) was introduced as a promising tool to support integrated care for the management of chronic obstructive pulmonary disease (COPD). It aims at improving self-management and providing remote suppo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 10, 2020 Category: Information Technology Authors: Violeta Gaveikaite, Casandra Grundstrom, Stefan Winter, Helen Schonenberg, Minna Isomursu, Ioanna Chouvarda and Nicos Maglaveras Tags: Research article Source Type: research

Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
An amendment to this paper has been published and can be accessed via the original article. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 10, 2020 Category: Information Technology Authors: Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Boja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati and Rizwan Munir Tags: Correction Source Type: research

SMS-based family planning communication and its association with modern contraception and maternal healthcare use in selected low-middle-income countries
The objectives of this study were to 1) measure the percentage of women who received SMS-based family planning communication, and 2) its association with modern contraception and maternal healthcare services a... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 10, 2020 Category: Information Technology Authors: Yingying Hu, Rui Huang, Bishwajit Ghose and Shangfeng Tang Tags: Research article Source Type: research

Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
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... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 9, 2020 Category: Information Technology Authors: Hong Zhu, Qianhao Fang, Yihe Huang and Kai Xu Tags: Research article Source Type: research