scholarly journals Machine Learning for Risk Group Identification and User Data Collection, a Case-Study of Herpes Simplex Virus Patient Registry: Algorithm Development and Validation (Preprint)

JMIRx Med ◽  
10.2196/25560 ◽  
2020 ◽  
Author(s):  
Svitlana Surodina ◽  
Ching Lam ◽  
Svetislav Grbich ◽  
Madison Milne-Ives ◽  
Michelle van Velthoven ◽  
...  
Keyword(s):  
Machine Learning ◽  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Data Collection ◽  
Risk Group ◽  
Group Identification ◽  
User Data ◽  
Simplex Virus ◽  
Development And Validation

scholarly journals Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study” (Preprint)

2021 ◽  
Author(s):  
Svitlana Surodina ◽  
Ching Lam ◽  
Svetislav Grbich ◽  
Madison Milne-Ives ◽  
Michelle van Velthoven ◽  
...  
Keyword(s):  
Machine Learning ◽  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Data Collection ◽  
Risk Group ◽  
Group Identification ◽  
Peer Reviews ◽  
User Data ◽  
Simplex Virus ◽  
Development And Validation

UNSTRUCTURED This is author responses.

scholarly journals Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

JMIRx Med ◽  
10.2196/28917 ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. e28917
Author(s):  
Svitlana Surodina ◽  
Ching Lam ◽  
Svetislav Grbich ◽  
Madison Milne-Ives ◽  
Michelle van Velthoven ◽  
...  
Keyword(s):  
Machine Learning ◽  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Data Collection ◽  
Risk Group ◽  
Group Identification ◽  
Peer Reviews ◽  
User Data ◽  
Simplex Virus ◽  
Development And Validation

scholarly journals Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jung Su Lee ◽  
Jihye Yun ◽  
Sungwon Ham ◽  
Hyunjung Park ◽  
Hyunsu Lee ◽  
...  
Keyword(s):  
Machine Learning ◽  
Differential Diagnosis ◽  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Previous History ◽  
Clinical Factor ◽  
Endoscopic Images ◽  
Simplex Virus

AbstractThe endoscopic features between herpes simplex virus (HSV) and cytomegalovirus (CMV) esophagitis overlap significantly, and hence the differential diagnosis between HSV and CMV esophagitis is sometimes difficult. Therefore, we developed a machine-learning-based classifier to discriminate between CMV and HSV esophagitis. We analyzed 87 patients with HSV esophagitis and 63 patients with CMV esophagitis and developed a machine-learning-based artificial intelligence (AI) system using a total of 666 endoscopic images with HSV esophagitis and 416 endoscopic images with CMV esophagitis. In the five repeated five-fold cross-validations based on the hue–saturation–brightness color model, logistic regression with a least absolute shrinkage and selection operation showed the best performance (sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the receiver operating characteristic curve: 100%, 100%, 100%, 100%, 100%, and 1.0, respectively). Previous history of transplantation was included in classifiers as a clinical factor; the lower the performance of these classifiers, the greater the effect of including this clinical factor. Our machine-learning-based AI system for differential diagnosis between HSV and CMV esophagitis showed high accuracy, which could help clinicians with diagnoses.

scholarly journals Development of an Innovative Real-World Evidence Registry for the Herpes Simplex Virus: Case Study

10.2196/16933 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e16933 ◽  
Author(s):  
Michelle Helena van Velthoven ◽  
Ching Lam ◽  
Caroline de Cock ◽  
Terese Stenfors ◽  
Hassan Chaudhury ◽  
...  
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Real World ◽  
Physical Symptoms ◽  
Use Cases ◽  
Real World Data ◽  
World Data ◽  
Real World Evidence ◽  
Simplex Virus

Background Infection with the herpes simplex virus (HSV) is common but not well understood. Furthermore, there remains a social stigma surrounding HSV that can have psychosocial implications for those infected. Despite many patients infected with HSV experiencing mild-to-severe physical symptoms, only one subeffective treatment is available. A registry collecting real-world data reported by individuals potentially infected with HSV could help patients to better understand and manage their condition. Objective This study aimed to report on the development of a registry to collect real-world data reported by people who might be infected with HSV. Methods A case study design was selected as it provides a systematic and in-depth approach to investigating the planning phase of the registry. The case study followed seven stages: plan, design, prepare, collect, analyze, create, and share. We carried out semistructured interviews with experts, which were thematically analyzed and used to build use cases for the proposed registry. These use cases will be used to generate detailed models of how a real-world evidence registry might be perceived and used by different users. Results The following key themes were identified in the interviews: (1) stigma and anonymity, (2) selection bias, (3) understanding treatment and outcome gaps, (4) lifestyle factors, (5) individualized versus population-level data, and (6) severe complications of HSV. We developed use cases for different types of users of the registry, including individuals with HSV, members of the public, researchers, and clinicians. Conclusions This case study revealed key considerations and insights for the development of an appropriate registry to collect real-world data reported by people who might be infected with HSV. Further development and testing of the registry with different users is required. The registry must also be evaluated for the feasibility and effectiveness of collecting data to support symptom management. This registry has the potential to contribute to the development of vaccines and treatments and provide insights into the impact of HSV on other conditions.

Integrated Homology Modelling and X-Ray Study of Herpes Simplex Virus I Thymidine Kinase: A Case Study

1997 ◽  
Vol 17 (1-3) ◽  
pp. 475-494 ◽  
Author(s):  
Gerd Folkers ◽  
Frank Alber ◽  
Isabelle Amrhein ◽  
Henrik Behrends ◽  
Thomas Bohner ◽  
...  
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Thymidine Kinase ◽  
Homology Modelling ◽  
X Ray ◽  
Simplex Virus ◽  
Kinase A

scholarly journals Development and Validation of an LC–MS-Based Quantification Assay for New Therapeutic Antibodies: Application to a Novel Therapy against Herpes Simplex Virus

ACS Omega ◽  
2020 ◽  
Vol 5 (38) ◽  
pp. 24329-24339
Author(s):  
Margaux Fresnais ◽  
Rémi Longuespée ◽  
Max Sauter ◽  
Torsten Schaller ◽  
Michaela Arndt ◽  
...  
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Therapeutic Antibodies ◽  
Novel Therapy ◽  
Simplex Virus ◽  
Development And Validation
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