Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can reduce mortality. Various machine learning algorithms have been developed and are widely used in healthcare research, particularly for mortality prediction. This study aimed to develop and internally validate 7 machine learning models to predict 1-year mortality after fragility hip fracture. This retrospective study included patients with fragility hip fractures from a single center (Siriraj Hospital, Bangkok, Thailand) from July 2016 to October 2018. A total of 492 patients were enrolled. They were randomly categorized into a training group (344 cases, 70%) or a testing group (148 cases, 30%). Various machine learning techniques were used: the Gradient Boosting Classifier (GB), Random Forests Classifier (RF), Artificial Neural Network Classifier (ANN), Logistic Regression Classifier (LR), Naive Bayes Classifier (NB), Support Vector Machine Classifier (SVM), and K-Nearest Neighbors Classifier (KNN). All models were internally validated by evaluating their performance and the area under a receiver operating characteristic curve (AUC). For the testing dataset, the accuracies were GB model = 0.93, RF model = 0.95, ANN model = 0.94, LR model = 0.91, NB model = 0.89, SVM model = 0.90, and KNN model = 0.90. All models achieved high AUCs that ranged between 0.81 and 0.99. The RF model also provided a negative predictive value of 0.96, a positive predictive value of 0.93, a specificity of 0.99, and a sensitivity of 0.68. Our machine learning approach facilitated the successful development of an accurate model to predict 1-year mortality after fragility hip fracture. Several machine learning algorithms (eg, Gradient Boosting and Random Forest) had the potential to provide high predictive performance based on the clinical parameters of each patient. The web application is available at www.hipprediction.com . External validation in a larger group of patients or in different hospital settings is warranted to evaluate the clinical utility of this tool. Thai Clinical Trials Registry (22 February 2021; reg. no. TCTR20210222003 ).
BAN MAI, Thailand – As a child, Manit Boonkhiew watched his grandparents plow their rice farm near Bangkok with water buffaloes, and harvest by hand. His parents switched to tractors and threshers, while he now uses a zippy drone to spray pesticide on his field. Manit, who grows rice, orchids and fruit trees on about 40 acres (16 hectares) of land in Ban Mai, is part of a community enterprise that recently acquired a drone under a Thai government program to digitize agriculture. Drones to plant seeds, and spray pesticide and fertilizers are growing in popularity in the Southeast Asian country as it grapples with a labor shortage that worsened during the coronavirus pandemic, with restrictions on movement of workers. "Labor is the biggest challenge for us -- it's hard to get, and it's expensive," said Manit, 56, a leader of the Ban Mai Community Rice Center farm that comprises 57 members with nearly 400 acres of land.
Thailand's prime minister will visit Saudi Arabia next week in what will be the first high-level meeting between the two countries since a diplomatic row over a jewellery theft nearly 30 years ago. Saudi Arabia downgraded its diplomatic relations with Bangkok following the theft in 1989 of about $20m worth of jewels by a Thai janitor working in the palace of a Saudi prince. The theft triggered a feud between the countries dubbed the "Blue Diamond Affair" that has yet to be resolved. Thai police later returned some of the jewels but Saudi officials claimed most were fake, while the whereabouts of the most precious gem – a rare 50-carat blue diamond – remains unknown. The invitation to Thai Prime Minister Prayuth Chan-ocha for a two-day visit beginning Tuesday was issued by Saudi Crown Prince Mohammed bin Salman (MBS), the Thai government said in a statement.
These new technologies could help save lives, reduce medical personnel workloads and support precision medicine. These opinions were shared at Bangkok Post's virtual conference entitled: "Shaping Tomorrow: Power of 5G and Technology Convergence". Cherdchai Nopmaneejumruslers, deputy director of Siriraj Hospital, said new technologies will support telemedicine, allowing patients to receive remote medical advice. "Within the next few years, patients suffering from diabetes and blood pressure may forget their last visit to the hospital," he said. "Many people now forget the last time we went to a bank counter."
BANGKOK/LONDON – A week after the Myanmar military seized power, a Twitter account that had lain dormant for nearly a decade flickered back into life. The Twitter user mocked anti-coup protesters, hundreds of whom have been killed in a crackdown by security forces since the Feb. 1 coup. After a police truck fired high-pressure water cannons on demonstrators in the capital city of Naypyidaw on Feb. 8, he made a trolling reference to the nation's traditional April new year celebration: "Water festival come earlier for them lol." A few weeks later, the user wrote "#fuckthereds," making a dismissive reference to the political party of Aung San Suu Kyi, the Nobel Prize-winning civilian leader who had been overthrown and arrested in the coup. A review of an archived version of the account, which has since been shut down, revealed the username was a pseudonym belonging to Ivan Htet, the 33-year-old son of a leading figure in the coup: the chief of the air force, Maung Maung Kyaw. But Ivan Htet hasn't just been an enthusiastic supporter on social media of the Tatmadaw, the name for the Myanmar military, which has dominated political life since independence in 1948 for Myanmar, then called Burma. He is also trying to cash in, helping equip the military, along with his wife Lin Lett Thiri, who co-founded a private firm to supply Myanmar's armed forces, Reuters has found.
Bangkok – When the "Demon Slayer" movie hit cinemas in Japan late last year, its box-office success reverberated beyond the archipelago -- all the way to Thailand. According to Major Cineplex, one of the leading chains of cinemas and theaters in Thailand, the film topped the list of 2020's top-grossing foreign movies with revenue of 115 million baht (about ¥400 million) even though it was shown for just two months of the year. For decades, the latest Japanese manga and anime releases have topped Thai youngsters' must-read and must-watch lists. Yet the influence of Japanese culture has not stopped there. These media are acting as steps to the door of language learning, which is allowing Thai people to gain a better understanding of another culture.
Poppy Crum: Devices Will Know More... AMSilk's Synthetic Spider Silk Is The Biomaterial Of The Future Voices Of Success: Helping Clients Prosper Is Key to Success, Bangkok Bank's Chartsiri Says Voices Of Success: Qiming Venture's JP Gan Reveals His Best Bet To Date Voices Of Success: Never Be Afraid To Fail, Catcha Group's Patrick Grove Says The Mall Isn't Dead: How Tech Is Giving Retail New Life - F8T Sodastream Is Fostering Peace, But Is The Business Model Replicable? Weight Watchers' Mindy Grossman: Healthy Is The New Skinny Would You Pay $70 Million For This NYC Penthouse? Is Influencer Marketing Just a Fad or Here to Stay?
Bangkok Bank PLC announced the launch of its Thai language Artificial Intelligence (AI) powered chatbot that was built in-house in a joint collaboration with Singapore-based fintech startup Pand.ai. The chatbot called TT01 was a result of Bangkok Bank's innovation programme, InnoHub. The development began earlier this year and the chatbot was fully completed in October. The solution will be available to clients of Pand.ai. Meanwhile, Bangkok Bank will use this as a digital sales assistant on LINE for their sales and relationship managers, scheduled to launch in Q1 2021.
The great event will be jointly organized by the Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP) and held in Berkeley Hotel in Bangkok, Thailand, during August 1-6, 2021. For the first time, the Association for Computational Linguistics and the Asian Federation of Natural Language Processing are pleased to announce that their joint meeting takes place in Thailand. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) will be held in Bangkok, Thailand, during August 1-6, 2021. As in previous years, the program of the conference includes a poster session, tutorials, workshops and demonstrations in addition to the main conference.