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Mashup Score: 94
Background A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains a cryptographic hash function of the previous block, a timestamp, and transaction data, which are permanently stored in thousands of nodes and never altered. This provides a potential real-world application for generating a permanent, decentralized record of scientific data, taking advantage of blockchain features such as timestamping and immutability. Implementation Here, we propose INNBC DApp, a Web3 decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake (POS) blockchain such as BNB Smart Chain. Unlike previously proposed blockchain tools that only store a hash of the data on-chain, here the data are stored fully on-chain within the transaction itself as “transacti
Categories: General Medicine News, General HCPsTweet
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Mashup Score: 98
Background A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains a cryptographic hash function of the previous block, a timestamp, and transaction data, which are permanently stored in thousands of nodes and never altered. This provides a potential real-world application for generating a permanent, decentralized record of scientific data, taking advantage of blockchain features such as timestamping and immutability. Implementation Here, we propose INNBC DApp, a Web3 decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake (POS) blockchain such as BNB Smart Chain. Unlike previously proposed blockchain tools that only store a hash of the data on-chain, here the data are stored fully on-chain within the transaction itself as “transacti
Categories: General Medicine News, General HCPsTweet-
An article published in #BMCMedInformDecisMak presents INNBC DApp: a decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake blockchain. https://t.co/q6BmOQAVIw
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Mashup Score: 2Predicting high blood pressure using machine learning models in low- and middle-income countries - BMC Medical Informatics and Decision Making - 3 month(s) ago
Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressure, a key NCD risk factor, using data from the STEPwise approach to NCD risk factor surveillance (STEPS) surveys. Nationally representative samples of adults aged 18-69 years were acquired from 57 countries spanning six World Health Organization (WHO) regions. Data harmonization and processing were performed to standardize the selected predictors and synchronize features across countries, yielding 41 variables, including demographic, behavioural, physical, and biochemical factors. Five machine learning models – logistic regression, k-nearest neighbours, random forest, XGBoost, and a fully connected neural network – were trained and evaluated at global, regional, and country-specific levels using an 80/20 train-test split. The models’ perfor
Categories: General Medicine News, General HCPsTweet-
A study published in #BMCMedInformDecisMak demonstrates the potential of applying machine learning techniques to large-scale health datasets for predicting blood pressure status in low-and middle-income countries. https://t.co/ox7lgEQCUU
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Mashup Score: 2Predicting high blood pressure using machine learning models in low- and middle-income countries - BMC Medical Informatics and Decision Making - 3 month(s) ago
Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressure, a key NCD risk factor, using data from the STEPwise approach to NCD risk factor surveillance (STEPS) surveys. Nationally representative samples of adults aged 18-69 years were acquired from 57 countries spanning six World Health Organization (WHO) regions. Data harmonization and processing were performed to standardize the selected predictors and synchronize features across countries, yielding 41 variables, including demographic, behavioural, physical, and biochemical factors. Five machine learning models – logistic regression, k-nearest neighbours, random forest, XGBoost, and a fully connected neural network – were trained and evaluated at global, regional, and country-specific levels using an 80/20 train-test split. The models’ perfor
Categories: General Medicine News, General HCPsTweet-
A study published in #BMCMedInformDecisMak demonstrates the potential of applying machine learning techniques to large-scale health datasets for predicting blood pressure status in low-and middle-income countries. https://t.co/ox7lgEQCUU
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Mashup Score: 262
Background A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains a cryptographic hash function of the previous block, a timestamp, and transaction data, which are permanently stored in thousands of nodes and never altered. This provides a potential real-world application for generating a permanent, decentralized record of scientific data, taking advantage of blockchain features such as timestamping and immutability. Implementation Here, we propose INNBC DApp, a Web3 decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake (POS) blockchain such as BNB Smart Chain. Unlike previously proposed blockchain tools that only store a hash of the data on-chain, here the data are stored fully on-chain within the transaction itself as “transacti
Categories: General Medicine News, General HCPsTweet-
An article published in #BMCMedInformDecisMak presents INNBC DApp: a decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake blockchain. https://t.co/q6BmOQAVIw
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Mashup Score: 0
Background A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains a cryptographic hash function of the previous block, a timestamp, and transaction data, which are permanently stored in thousands of nodes and never altered. This provides a potential real-world application for generating a permanent, decentralized record of scientific data, taking advantage of blockchain features such as timestamping and immutability. Implementation Here, we propose INNBC DApp, a Web3 decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake (POS) blockchain such as BNB Smart Chain. Unlike previously proposed blockchain tools that only store a hash of the data on-chain, here the data are stored fully on-chain within the transaction itself as “transacti
Categories: General Medicine News, General HCPsTweet-
An article published in #BMCMedInformDecisMak presents INNBC DApp: a decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake blockchain. https://t.co/q6BmOQAVIw
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Mashup Score: 2
Background Existing traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. Comprehensive neuropsychological assessment is sensitive to impairment but time-intensive and expensive. Virtual reality may provide a dynamic and unique understanding of cognitive performance and increase the ecological validity of cognitive assessment. The use of virtual reality in screening for cognitive function in older persons is promising, but evidence for its use remains sparse. Objective Our primary aim was to examine the feasibility and acceptability of a newly developed, virtual reality assessment module, ‘Leaf Café’, a computer-based program that assesses cognition in an engaging, efficient, and ecologically relevant way. The secondary aim was to assess the ability of the module to discriminate between performances of younger and older adults. Methods A cros
Categories: General Medicine News, General HCPsTweet-
A study published in #BMCMedInformDecisMak assesses the feasibility and acceptability of Leaf Café: a virtual reality tool for the screening of cognitive impairment in older adults. https://t.co/7TkmKcIuws
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Mashup Score: 2
Frank Eisenhaber (BMC Bioinformatics)Frank Eisenhaber studied at the Humboldt-University in Berlin, at the Pirogov Medical University in Moscow and received the PhD in molecular biology from the Engelhardt Institute of Molecular Biology in Moscow 1988. He worked at the EMBL in Heidelberg (1991-1999), at the Institute of Molecular Pathology (IMP) in Vienna (1999-2007) and at…
Source: www.biomedcentral.comCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
#BMCBioInformatics and #BMCMedInformDecisMak has announced a call for papers for a collection on 'Big Data and Machine Learning in Bioinformatics and Medical Informatics'. Submit your papers by 30th June 2022. Learn more:https://t.co/xaGrTR9B9Y
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Mashup Score: 2Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning - 4 year(s) ago
Background Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since current diagnostic methods have many disadvantages, new investigations are needed to improve the performance of diagnosis. Methods A novel method is proposed to automatically diagnose…
Categories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Researchers have proposed an ECG-based diagnosis method that can potentially be used as a faster, harmless, cost-effective and sensitive diagnostic method to detect COVID-19, reports a paper published in #BMCMedInformDecisMak. https://t.co/3hQv9dg4tD
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Mashup Score: 0Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning - 4 year(s) ago
Background Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since current diagnostic methods have many disadvantages, new investigations are needed to improve the performance of diagnosis. Methods A novel method is proposed to automatically diagnose…
Categories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Researchers have proposed an ECG-based diagnosis method that can potentially be used as a faster, harmless, cost-effective and sensitive diagnostic method to detect COVID-19, reports a paper published in #BMCMedInformDecisMak. https://t.co/Xow2wuYYYF
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An article published in #BMCMedInformDecisMak presents INNBC DApp: a decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake blockchain. https://t.co/q6BmOQAVIw