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Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection | BMC Infectious Diseases

The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. T-SPOT, lymphocyte characteristic detection, and routine laboratory tests were performed on participants. Diagnostic models were built according to various algorithms. A total of 892 participants (468 ATB and 424 LTBI) and another 263 participants (125 ATB and 138 LTBI), were respectively enrolled at Tongji Hospital (discovery cohort) and Sino-French New City Hospital (validation cohort). Receiver operating characteristic (ROC) curve analysis showed that the value of individual indicator for differentiating ATB from LTBI was limited (area under the ROC curve (AUC) < 0.8). A total of 28 models were successfully established using machine learning. Among them, the AUCs of 25 models were more than 0.9 in test set. It was found that conditional random forests (cforest) model, based on the implementation of the random forest and bagging ensemble algorithms utilizing conditional inference trees as base learners, presented best discriminative power in segregating ATB from LTBI. Specially, cforest model presented an AUC of 0.978, with the sensitivity of 93.39% and the specificity of 91.18%. Mtb-specific response represented by early secreted antigenic target 6 (ESAT-6) and culture filtrate protein 10 (CFP-10) spot-forming cell (SFC) in T-SPOT assay, as well as global adaptive immunity assessed by CD4 cell IFN-γ secretion, CD8 cell IFN-γ secretion, and CD4 cell number, were found to contribute greatly to the cforest model. Superior performance obtained in the discovery cohort was further confirmed in the validation cohort. The sensitivity and specificity of cforest model in validation set were 92.80% and 89.86%, respectively. Cforest model developed upon machine learning could serve as a valuable and prospective tool for identifying Mtb infection status. The present study provided a novel and viable idea for realizing the clinical diagnostic application of the combination of machine learning and laboratory findings. The first study to establish 28 models using machine learning for TB diagnosis. The first TB diagnostic model based on routine, TB-specific and non-specific tests. Cforest model presented excellent performance in discriminating ATB from LTBI.

Grand-island , California , United-states , Japan , Tongji , Sichuan , China , Huazhong , Hubei , United-kingdom , Illinois , San-diego

Old age as a risk factor for pneumonia by Omicron variant

The present study aimed to investigate the risk factors for pneumonia development during Omicron variant infection.

United-states , Changzhou , Jiangsu , China , Belgium , Taizhou , Helsinki , Eteläuomen-läi , Finland , South-africa , Mariakerke , Region-flamande

Wild African leopard caught by fire service after roaming Ghent suburbs for days

Wild African leopard caught by fire service after roaming Ghent suburbs for days
thebulletin.be - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thebulletin.be Daily Mail and Mail on Sunday newspapers.

Opglabbeek , Region-flamande , Belgium , Mariakerke , Opglabbeek-nature-aid-centre , Den-boer ,

Big scene change: Match turns into Louis Delhaize

Strategic turnaround at Louis Delhaize group: the Match and Smatch supermarkets will change both appearance and name over the next few years. The emphasis will be on fresh food, private label products and e-commerce.

Ertvelde , Region-flamande , Belgium , Lendelede , Nijvel , Waals-gewest , Mariakerke , Louis-delhaize , Louis-delhaize-open ,

Ostende autrement: 5 manières de redécouvrir la ville - Voyage

Ostende autrement: 5 manières de redécouvrir la ville - Voyage
weekend.levif.be - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from weekend.levif.be Daily Mail and Mail on Sunday newspapers.

Bastia , Corse , France , Germany , Tunisia , Iceland , Japan , Shinkai , Hiroshima , Morocco , Raversyde , Region-flamande

GreenMobility electric car-share now in Brussels

Transport
15:00 04/05/2021
The GreenMobility electric car-share service has expanded into Brussels. This brings its list of Belgian cities to three – and it allows pick-up and drop-off in any of the three cities.
GreenMobility is a Danish firm that operates in Denmark, Sweden and Belgium. It began operating in Antwerp and Ghent last year and has now established itself in Brussels.
The service allows users to pick up a car in one city and drop it off in another, making it useful for commuters and for one-way trips. It also has a pick-up and drop-off ‘hotspot’ at Brussels Airport.
The service provides hotspots for drivers to park, generally in garages, but also allows the car to be dropped off in any public street. The app shows the user the location of the nearest car.

Sweden , Wondelgem , Region-flamande , Belgium , Denmark , Grand-place , Bruxelles-capitale , Brussels , Mariakerke , Belgian , Danish ,