Abstract: A platform for providing employment assistance services to enterprises and candidates is disclosed. For example, the platform trains, based on personal attributes of employees of multiple enterprise and work culture attributes associated with each employer of the multiple enterprises, a machine learning model that defines associations between the personal attributes and the work culture attributes. Further, the platform extracts information associated with a person from one or more sources on the Web where the person is represented, generates, based on the information associated with the person, a user profile associating personal attributes with the person, applies the user profile to the machine learning model; and receives an indication, from the machine learning model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer.

Abstract: A contact tracing protocol performed by an integrated contact tracing platform is disclosed.

Abstract: Systems and methods directed to reconciling electronic health records of a patient are disclosed. For example, a system includes: a memory storing instructions that implement an application for reconciling electronic health records of a patient; and a processing device communicatively coupled to the memory. The processing device capable of executing the application to: receive an indicator of permission to access an electronic health record of the patient maintained by a health provider; access, using the indicator, the electronic health record; determine if there are any inconsistencies or contraindications between the electronic health record and another electronic health record maintained by another health provider; and provide a notification of an inconsistency or a contraindication to the health provider and the other health provider.

Abstract: A platform for providing employment assistance services to enterprises and candidates is disclosed. For example, the platform trains, based on personal attributes of employees of multiple enterprise and work culture attributes associated with each employer of the multiple enterprises, a machine learning model that defines associations between the personal attributes and the work culture attributes. Further, for example, the platform generates a resume for a candidate based upon information from the user profile. The platform can eliminate bias when managing such resume by indexing the personal attributes of all user profiles to identify hidden variables, where the hidden variables are data that has been indexed as receiving biased treatment, editing the resume to remove the hidden variables, and returning the resume to the candidate.

Abstract: A platform for providing employment assistance services to enterprises and candidates is disclosed. For example, the platform trains, based on personal attributes of employees of multiple enterprise and work culture attributes associated with each employer of the multiple enterprises, a machine learning model that defines associations between the personal attributes and the work culture attributes. Further, the platform extracts information associated with a person from one or more sources on the Web where the person is represented, generates, based on the information associated with the person, a user profile associating personal attributes with the person, applies the user profile to the machine learning model; and receives an indication, from the machine learning model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer.

Abstract: A platform for providing employment assistance services to enterprises and candidates is disclosed. For example, the platform trains, based on personal attributes of employees of multiple enterprise and work culture attributes associated with each employer of the multiple enterprises, a machine learning model that defines associations between the personal attributes and the work culture attributes. Further, the platform extracts information associated with a person from one or more sources on the Web where the person is represented, generates, based on the information associated with the person, a user profile associating personal attributes with the person, applies the user profile to the machine learning model; and receives an indication, from the machine learning model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer.