First review on psoriasis severity risk stratification: An engineering perspective

• Published in: Computers in biology and medicine Vol. 63; pp. 52 - 63
• Main Authors: Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01-08-2015; Elsevier Limited
• Subjects: Age; Area; Asymmetry; CAD system; Chronic fatigue syndrome; Datasets; Dermatology; Diabetes; Diagnosis, Computer-Assisted - methods; Discriminant analysis; Disease; Erythema; Humans; Internal Medicine; Melanoma; Neural networks; Other; PASI; Psoriasis; Psoriasis - diagnosis; Quality of life; Regression analysis; Risk Assessment - methods; Scaliness; Severity of Illness Index; Skin; Stratification; Thickness; Womens health; Europe; India; Thickness; PASI; Area; Scaliness; Psoriasis; Dermatology; CAD system; Stratification; Erythema
• ISSN: 0010-4825; 1879-0534
• DOI: 10.1016/j.compbiomed.2015.05.005

Abstract Computer-aided diagnosis (CAD) systems have been used for characterization of several dermatologic diseases in the last few years. Psoriasis is a potentially life-threatening skin disease which affects 125 million people worldwide. The paper presents the first state-of-the-art review of technology solicitation in psoriasis along with its current practices, challenges and assessment techniques. The paper also conducts in-depth examination of the existing literature for all clinical parameters of Psoriasis Area and Severity Index (PASI) i.e., area, erythema, scaliness and thickness. We suggest a role of risk assessment using a decision support system for stratification of psoriasis in large populations. A balanced insight has been presented in all the components of the design, namely: feature extraction, feature selection, disease stratification and overall CAD performance evaluation. We conclude that CAD systems are promising for risk stratification and assessment of psoriasis.