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It typically causes cardiac illnesses, neurologic illnesses, musculoskeletal disorders, and dermatologic conditions. However, most of the time, it is poorly diagnosed due to many similarities with other diseases such as drug rash. Given the potentially serious consequences of unnecessary antimicrobial treatments, it is essential to understand frequent and uncommon diagnoses that explain symptoms in this population. Recently, deep learning models have been used for the diagnosis of various rash-related diseases. However, these models suffer from overfitting and color variation problems. To overcome these problems, an efficient stacked deep transfer learning model is proposed that can efficiently distinguish between patients infected with Lyme (+) or infected with other infections. 2nd order edge-based color constancy is used as a preprocessing approach to reduce the impact of multisource light from images acquired under different setups. The AlexNet pretrained learning model is used for building the Lyme disease diagnosis model. To prevent overfitting, data augmentation techniques are also used to augment the dataset. In addition, 5-fold cross-validation is also used. Comparative analysis indicates that the proposed model outperforms the existing models in terms of accuracy, f-measure, sensitivity, specificity, and area under the curve.<\/jats:p>","DOI":"10.1155\/2022\/2933015","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T05:35:10Z","timestamp":1646112910000},"page":"1-9","source":"Crossref","is-referenced-by-count":11,"title":["An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8477-8319","authenticated-orcid":true,"given":"Ahmad Ali","family":"AlZubi","sequence":"first","affiliation":[{"name":"Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7209-0437","authenticated-orcid":true,"given":"Shailendra","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2128-8704","authenticated-orcid":true,"given":"Kuldeep","family":"Walia","sequence":"additional","affiliation":[{"name":"Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6560-5906","authenticated-orcid":true,"given":"Jazem Mutared","family":"Alanazi","sequence":"additional","affiliation":[{"name":"Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0960-4543","authenticated-orcid":true,"given":"Firas Ibrahim","family":"AlZobi","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Networks, Faculty of Information Technology, The World Islamic Sciences & Education University, Amman, Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rohit","family":"Verma","sequence":"additional","affiliation":[{"name":"School of Computing, National College of Ireland, Dublin, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2021.10.040"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1086\/318138"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6623a3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-128-5-199803010-00003"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000022509"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.19833"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1080\/00981389.2020.1822488"},{"key":"8","article-title":"Lyme Disease Rashes","volume-title":"1st Open Source Lyme Dataset | 400+ Images","author":"E. 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