AGL 24.24 Increased By ▲ 0.77 (3.28%)
AIRLINK 107.70 Increased By ▲ 1.59 (1.5%)
BOP 5.12 Decreased By ▼ -0.05 (-0.97%)
CNERGY 3.63 Decreased By ▼ -0.03 (-0.82%)
DCL 7.32 Decreased By ▼ -0.48 (-6.15%)
DFML 42.10 Decreased By ▼ -2.09 (-4.73%)
DGKC 88.80 Increased By ▲ 0.30 (0.34%)
FCCL 21.75 No Change ▼ 0.00 (0%)
FFBL 41.85 Decreased By ▼ -0.67 (-1.58%)
FFL 8.61 Decreased By ▼ -0.14 (-1.6%)
HUBC 148.75 Increased By ▲ 0.95 (0.64%)
HUMNL 10.14 Decreased By ▼ -0.11 (-1.07%)
KEL 4.28 Decreased By ▼ -0.06 (-1.38%)
KOSM 3.59 Decreased By ▼ -0.20 (-5.28%)
MLCF 36.20 Decreased By ▼ -0.20 (-0.55%)
NBP 47.75 Decreased By ▼ -1.55 (-3.14%)
OGDC 129.10 Decreased By ▼ -1.75 (-1.34%)
PAEL 25.75 Decreased By ▼ -0.20 (-0.77%)
PIBTL 6.00 Decreased By ▼ -0.05 (-0.83%)
PPL 113.65 Decreased By ▼ -0.90 (-0.79%)
PRL 22.30 Decreased By ▼ -0.30 (-1.33%)
PTC 12.10 Decreased By ▼ -0.27 (-2.18%)
SEARL 54.98 Decreased By ▼ -0.72 (-1.29%)
TELE 7.11 Decreased By ▼ -0.14 (-1.93%)
TOMCL 37.11 Increased By ▲ 0.71 (1.95%)
TPLP 7.76 Decreased By ▼ -0.19 (-2.39%)
TREET 15.00 Decreased By ▼ -0.29 (-1.9%)
TRG 55.54 Decreased By ▼ -1.16 (-2.05%)
UNITY 31.20 Decreased By ▼ -0.65 (-2.04%)
WTL 1.15 Decreased By ▼ -0.02 (-1.71%)
BR100 8,248 Decreased By -46.7 (-0.56%)
BR30 25,878 Decreased By -223.8 (-0.86%)
KSE100 78,030 Decreased By -439.8 (-0.56%)
KSE30 25,084 Decreased By -114.2 (-0.45%)
Technology

New smartphone app detects child’s illness through cough

Researchers have developed a smartphone app that can help identify childhood respiratory disorders through their co
Published June 10, 2019

Researchers have developed a smartphone app that can help identify childhood respiratory disorders through their cough, making it easier when the option of seeing a doctor is unavailable at the time. 

Researchers at University of Queensland came up with a smartphone app that detects respiratory disorders in children with the help of cough-analyzing technology.

The team gathered a database of cough audio recordings from 1,437 hospitalized children aged 29 days to 12 years old, who had a variety of already conventionally-diagnose respiratory illnesses, reported New Atlas.

New smartphone app capable of ‘hearing’ ear infections through paper

Through machine learning algorithms similar to those used to develop speech recognition systems, the team then used 852 of the recordings to train an app to recognize the distant sounds linked to pneumonia, croup, asthma, bronchiolitis, and general lower respiratory tract disease.

The app was then used to diagnose the other 585 children based on their recordings, and resulted in accuracy that ranged from 81% to 97%, according to Science Daily.

The team now aims to further refine the app with hopes that it could be used by parents residing in remote areas that lack medical facilities, by doctors who are remotely consulting with patients, or even as an additional diagnostic system by physicians examining children within their own clinics.

“It can be difficult to differentiate between respiratory disorders in children, even for experienced doctors,” said lead researcher Paul Porter. “This study demonstrates how new technology, mathematical concepts, machine learning and clinical medicine can be successfully combined to produce completely new diagnostic tests.”

Copyright Business Recorder, 2019

Comments

Comments are closed.