LHSPred is a web based tool that enables users to predict risk of pneumonia with clinical examination features. It uses Support Vector Regressor (SVR) and Multi-layer Perceptron Regressor (MLPR) trained with COVID-19 patients' data to determine a score that evaluates the involvement of lesions in the lungs. This computed score is then used to predict risk of pneumonia.

To know more about LHSPred, go to About page. For help, please refer to Help page.

Cite as: Bhattacharjee, S., Saha, B., Bhattacharyya, P., & Saha, S. (2022). LHSPred: A web based application for predicting lung health severity. Biomedical signal processing and control, 77, 103745. https://doi.org/10.1016/j.bspc.2022.103745

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Note: All fields are manadtory. In case any feature is not available, please use a suitable value according to age from the table of normal ranges given below.

Age (years)
White blood cell count (x109/L)
Neutrophil-to-Lymphocyte ratio
Aspartate transaminase - AST (U/L)
Albumin (g/L)
Lactate dehydrogenase - LDH (U/L)
C-reactive protein (mg/L)

Regression model	Support Vector Regressor (SVR)	Multi-layer Perceptron Regressor (MLPR)

Normal ranges * :

WBC (x 109/L)		NLR	AST (U/L)		Albumin (g/L)	LDH (U/L)	CRP (mg/L)
Males	Females		Males	Females
0-14 days: 8.0-15.4 15 days - 4 weeks: 7.8-15.9 5-7 weeks: 8.1-15.0 8 weeks - 5 months: 6.5-13.3 6-23 months: 6.0-13.5 24-35 months: 5.1-13.4 3-5 years: 4.4-12.9 6-17 years: 3.8-10.4 Adults: 3.4-9.6	0-14 days: 8.2-14.6 15 days - 4 weeks: 8.4-14.4 5-7 weeks: 7.1-14.7 8 weeks - 5 months: 6.0-13.3 6-23 months: 6.5-13.0 24-35 months: 4.9-13.2 3-5 years: 4.4-12.9 6-17 years: 3.8-10 Adults: 3.4-9.6	0.78-3.53	1-13 years: 8-60 >13 years: 8-48	1-13 years: 8-50 >13 years: 8-43	35-50	1-30 days: 135-750 31 days-11 months: 180-435 1-3 years: 160-370 4-6 years: 145-345 7-9 years: 143-290 10-12 years: 120-293 13-15 years: 110-283 16-17 years: 105-233 >=18 years: 122-222	<= 8

* Data taken from Mayo Clinic Laboratories Test catalog and Forget, P. et al..

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Bhattacharjee S. et al., Biomed Signal Process Control (2022), 77:103745. doi: 10.1016/j.bspc.2022.103745. Please contact Dr. Sudipto Saha (ssaha4@jcbose.ac.in) regarding any further queries.