Meet these tailors from Thoothukudi who are stand up paddling champions
[ad_1] R Muthukutti who won the Palk Bay Stand Up Paddle boarding (SUP) championship. R Muthukutti, V Muthumariammal and R Ramalakshmi have never lived by the sea. Two out of them do not swim and have barely had the chance to encounter large water bodies. A regular day in their life consists of a morning routine involving studying before heading
Signal processing and machine learning algorithm to classify anaesthesia depth
[ad_1] Results A total of 25 men and 35 women were included, with a total time of procedure average of 109.62 min. Regarding the EEG analysis and CBI, the results show a high Pearson correlation between the CBI and the indices of the entropy module. Nevertheless, a high Pearson correlation does not necessarily imply that the behaviour of the indices agrees. On
Web-based eHealth Clinical Decision Support System as a tool for the treat-to-target management of patients with systemic lupus erythematosus: development and initial usability evaluation
[ad_1] System overview SLE-T2T web-based system was developed. The processing of the system takes place on the user’s computer, and, since no data is stored, the architecture of this decision support system is essentially composed of: (1) an input scheme consisting in the diverse set of index and scores existing for the measurement of SLE disease activity (cSLEDAI-2K, SLEDAI-2K, PGA
Implementer report: ICD-10 code F44.5 review for functional seizure disorder
[ad_1] Abstract Objective The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR). Methods The study used an informatics search tool, a natural language processing algorithm and a chart review to validate FSD coding. Results The
Implementer report: ICD-10 code F44.5 review for functional seizure disorder
[ad_1] Abstract Objective The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR). Methods The study used an informatics search tool, a natural language processing algorithm and a chart review to validate FSD coding. Results The
Safe cosmetics for young children – Second edition provides state-of-the-art guidance on cosmetic products for infants and young children
[ad_1] Soda or shampoo? Candy or soap? Young children can easily mistake certain cosmetics or even their packaging for foodstuff based on their perfume, appearance, form, colour or size. Ingesting the chemicals contained in such products is dangerous and small parts can easily be swallowed and may cause choking. Young children are sensitive to the toxic effects of certain chemicals,
How trekking companies in India are redefining luxury with gourmet meals and massages
[ad_1] At 6.45am on an uneventful day in July, seven trekkers and I wished each other cheery ‘good mornings’ at our campsite in Trunkhol, Kashmir, some 3,500 metres above sea level. Amidst idyllic rolling green meadows where horses grazed, we sat chomping down a hearty breakfast of omelette, buttered toast, Maggi and kahwa, at the foot of Mount Harmukh (5,142
Long short-term memory model identifies ARDS and in-hospital mortality in both non-COVID-19 and COVID-19 cohort
[ad_1] Discussion From a cohort of pre-COVID-19 pandemic patients on mechanical ventilation, we developed and validated an LSTM model to identify patients at risk for ARDS or in-hospital mortality. This model was successfully integrated into EHR and identified patients at risk for ARDS or in-hospital mortality in all adults hospitalised with and without COVID-19 infection, regardless of mechanical ventilation status.
Fun meets fitness at the newly launched BOUNCE adventure park in Bengaluru
[ad_1] As I inched closer to the top of the 10-foot high climbing wall at the Bounce indoor adventure park, a scene from The Dark Knight Rises came to mind, where Bruce Wayne escapes an underground prison with a death-defying leap. As I recall the scene, my instructor, Nidhi Paradkar, shouts, “Sir, you just need to kick the wall and
How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event
[ad_1] To organise a successful event, several important points should be well thought through before the event (figure 1). The checklist provided below should help any organiser in this process. We further elaborate on some of these key points reflecting on our more mature experience. Datathon check list Venue: Physical/virtual/hybrid, dates, location. Logistics: catering, strong WIFI, rooms and amphitheatre. Partners:
How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event
[ad_1] To organise a successful event, several important points should be well thought through before the event (figure 1). The checklist provided below should help any organiser in this process. We further elaborate on some of these key points reflecting on our more mature experience. Datathon check list Venue: Physical/virtual/hybrid, dates, location. Logistics: catering, strong WIFI, rooms and amphitheatre. Partners:
Unleashing the potential of AI: a deeper dive into GPT prompts for medical research
[ad_1] I read the article by Haemmerli et al on the performance of ChatGPT-3.5 in generating treatment recommendations for central nervous system (CNS) tumours, which were then evaluated by tumour board (TB) experts. While the study did illuminate promising aspects of the Artificial Intelligence (AI) model, the design of the prompt used to interact with ChatGPT warrants further consideration. In
An online glaucoma educational course for patients to facilitate remote learning and patient empowerment
[ad_1] The need for an online glaucoma education course Glaucoma is the most common cause of irreversible visual impairment and its prevalence is on the rise, with the number of people affected estimated to be over 100 million by 2040.1 It is a chronic condition characterised by progressive damage to the optic nerve with characteristic visual field loss requiring lifetime monitoring
Assessing the efficient use of the lightwave health information management system for health service delivery in Ghana
[ad_1] Discussion According to the MoH,26 it is becoming increasingly evident that many developing countries, including Ghana, would struggle to meet all the global targets required to improve their health sector. As a result, a national e-health system, the LHIMS, was necessary for the health sector to improve service efficiency and function as the country’s EHR and a biosurveillance system.26
Experiences in aligning WHO SMART guidelines to classification and terminology standards
[ad_1] Abstract Objectives Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). Methods We encoded data elements within the ANC and
Experiences in aligning WHO SMART guidelines to classification and terminology standards
[ad_1] Abstract Objectives Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). Methods We encoded data elements within the ANC and
Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making
[ad_1] Abstract Background Predictive models have been used in clinical care for decades. They can determine the risk of a patient developing a particular condition or complication and inform the shared decision-making process. Developing artificial intelligence (AI) predictive models for use in clinical practice is challenging; even if they have good predictive performance, this does not guarantee that they will
Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making
[ad_1] Abstract Background Predictive models have been used in clinical care for decades. They can determine the risk of a patient developing a particular condition or complication and inform the shared decision-making process. Developing artificial intelligence (AI) predictive models for use in clinical practice is challenging; even if they have good predictive performance, this does not guarantee that they will
Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues
[ad_1] Introduction COVID-19, caused by the SARS-CoV-2 virus, was first identified in China in December 2019 and later became a pandemic.1 2 When this manuscript was finalised (12 June 2022), globally, the total number of infected cases had reached 540 318 million and over 6.331 million people had died.3 Telehealth refers to the delivery of healthcare particularly preventive and primary healthcare over
Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues
[ad_1] Introduction COVID-19, caused by the SARS-CoV-2 virus, was first identified in China in December 2019 and later became a pandemic.1 2 When this manuscript was finalised (12 June 2022), globally, the total number of infected cases had reached 540 318 million and over 6.331 million people had died.3 Telehealth refers to the delivery of healthcare particularly preventive and primary healthcare over
Social vulnerability and initial COVID-19 community spread in the US South: a machine learning approach
[ad_1] Results Table 1 provides sample characteristics of the 16 SVIs and COVID-19 cases and COVID-19 rates per 100 000 population after 30 days of the first COVID-19-positive cases in all counties in the 11 states of the US South (1086 counties). On average, 85.3 COVID-19 cases were reported after 30 days of the first reported case in a county,
Social vulnerability and initial COVID-19 community spread in the US South: a machine learning approach
[ad_1] Results Table 1 provides sample characteristics of the 16 SVIs and COVID-19 cases and COVID-19 rates per 100 000 population after 30 days of the first COVID-19-positive cases in all counties in the 11 states of the US South (1086 counties). On average, 85.3 COVID-19 cases were reported after 30 days of the first reported case in a county,
Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal
[ad_1] Discussion Here, we aimed to evaluate the adherence of RCTs investigating the use of AI within ophthalmology to the guidelines set by CONSORT-AI checklist for reporting standards for RCTs. Our study found a total of five RCTs that evaluated AI applications in ophthalmology. These articles looked at the utility of AI in diabetic retinopathy screening,19 20 ophthalmologic education,21 detecting
Surgical pit crew: initiative to optimise measurement and accountability for operating room turnover time
[ad_1] Discussion Delays in the OR can be costly to hospital systems, and one area where known delays occur is during room turnover. One study describes each minute of time running an OR in California hospitals costing approximately US$37 for inpatient settings and US$36 for ambulatory settings.15 Another study describes a methodology for surgical centres to calculate potential reduction in
Surgical pit crew: initiative to optimise measurement and accountability for operating room turnover time
[ad_1] Discussion Delays in the OR can be costly to hospital systems, and one area where known delays occur is during room turnover. One study describes each minute of time running an OR in California hospitals costing approximately US$37 for inpatient settings and US$36 for ambulatory settings.15 Another study describes a methodology for surgical centres to calculate potential reduction in