Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Chemistry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fchem.2024.1361980/full |
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| author | Sumbul Arshiya Sultana Md Belal Bin Heyat Khaleequr Rahman Faijan Akhtar Saba Parveen Mercedes Briones Urbano Mercedes Briones Urbano Mercedes Briones Urbano Vivian Lipari Vivian Lipari Vivian Lipari Isabel De la Torre Díez Azmat Ali Khan Abdul Malik |
| author_facet | Sumbul Arshiya Sultana Md Belal Bin Heyat Khaleequr Rahman Faijan Akhtar Saba Parveen Mercedes Briones Urbano Mercedes Briones Urbano Mercedes Briones Urbano Vivian Lipari Vivian Lipari Vivian Lipari Isabel De la Torre Díez Azmat Ali Khan Abdul Malik |
| author_sort | Sumbul |
| collection | DOAJ |
| description | Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning.Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data.Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID.Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections. |
| first_indexed | 2024-04-24T15:30:28Z |
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| id | doaj.art-f26fec560c3a4aa7aa711d7ea08b68d4 |
| institution | Directory Open Access Journal |
| issn | 2296-2646 |
| language | English |
| last_indexed | 2024-04-24T15:30:28Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Chemistry |
| spelling | doaj.art-f26fec560c3a4aa7aa711d7ea08b68d42024-04-02T04:35:07ZengFrontiers Media S.A.Frontiers in Chemistry2296-26462024-04-011210.3389/fchem.2024.13619801361980Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning Sumbul0Arshiya Sultana1Md Belal Bin Heyat2Khaleequr Rahman3Faijan Akhtar4Saba Parveen5Mercedes Briones Urbano6Mercedes Briones Urbano7Mercedes Briones Urbano8Vivian Lipari9Vivian Lipari10Vivian Lipari11Isabel De la Torre Díez12Azmat Ali Khan13Abdul Malik14Department of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, IndiaDepartment of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, IndiaCenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, Zhejiang, ChinaDepartment of Ilmul Saidla, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, IndiaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, ChinaCollege of Electronics and Information Engineering, Shenzhen University, Shenzhen, ChinaResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Europea Del Atlántico, Santander, SpainResearch Group on Foods, Nutritional Biochemistry and Health, Universidade Internacional do Cuanza, Kuito, AngolaResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Internacional Iberoamericana, Arecibo, PR, United StatesResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Europea Del Atlántico, Santander, SpainResearch Group on Foods, Nutritional Biochemistry and Health, Universidade Internacional do Cuanza, Kuito, AngolaResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Internacional Iberoamericana, Arecibo, PR, United StatesDepartment of Signal Theory and Communications and Telemedicine Engineering, University of Valladolid, Valladolid, Spain0Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia1Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi ArabiaBackground and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning.Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data.Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID.Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections.https://www.frontiersin.org/articles/10.3389/fchem.2024.1361980/fullunani medicinebotanical drugsherbal interventionAI for medicinedrug designfemale disorder |
| spellingShingle | Sumbul Arshiya Sultana Md Belal Bin Heyat Khaleequr Rahman Faijan Akhtar Saba Parveen Mercedes Briones Urbano Mercedes Briones Urbano Mercedes Briones Urbano Vivian Lipari Vivian Lipari Vivian Lipari Isabel De la Torre Díez Azmat Ali Khan Abdul Malik Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning Frontiers in Chemistry unani medicine botanical drugs herbal intervention AI for medicine drug design female disorder |
| title | Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| title_full | Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| title_fullStr | Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| title_full_unstemmed | Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| title_short | Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| title_sort | efficacy and classification of sesamum indicum linn seeds with rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning |
| topic | unani medicine botanical drugs herbal intervention AI for medicine drug design female disorder |
| url | https://www.frontiersin.org/articles/10.3389/fchem.2024.1361980/full |
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