Methods, systems and apparatus, including computer programs encoded on computer storage medium, for training a neurosymbolic data imputation system on training data inputs in a domain to impute missing data in a data input from the data domain. In one aspect a method includes, for each training data input, adding random noise to missing fields of the training data input;

generating an embedding data input for the training data input using concept embeddings from the domain; processing the noisy data input and the embedding data input through a correlation network to obtain correlation data; applying attention to the noisy training data input and the correlation data to generate a combined data input; processing, by an autoencoder, the combined data input to obtain a decoded data output; computing a difference between the decoded data output and the training data input; and updating parameters of the data imputation system using the difference.

A method for generating and presenting a patient readmission risk using a readmission risk analysis system, comprising: (i) receiving information about the patient, wherein the information comprises a plurality of readmission prediction features; (ii) extracting the plurality of readmission prediction features from the received information; (iii) analyzing the readmission prediction features to determine whether each of a predetermined list of readmission prediction features are present; (iv) replacing one or more identified missing readmission prediction features with a null value to generate a complete set of readmission prediction features for the patient; (v) analyzing the complete set of readmission prediction features for the patient to generate a readmission risk score; (vi) determining, using a populated lookup table of the readmission risk analysis system, an AUC score; and (vii) displaying the generated readmission risk score and the determined AUC score.

The invention provides systems and methods that stage sleep in patients using wearable devices regardless of the brand or features of the wearable device. Data collected from wearable devices are assigned a sleep stage regardless of manufacture or mode of operation. Methods provide precise and accurate sleep stage information to physicians via an online portal of the system, offering patients suffering from poor sleep opportunities for better medical outcomes. Methods include preprocessing data for a subject from a first sensor on a first wearable device; based on a type of the wearable device into standardized data and analyzing the standardized to identify sleep stages. Second data from a second wearable device with different formats or different content is also preprocessed a format matching that of the standardized data.

A medical information processing system of an embodiment includes a processing circuit. The processing circuit acquires examination data showing medical examination results with respect to a medical treatment subject and reply data showing reply results of a medical examination by interview with respect to the medical treatment subject. The processing circuit estimates information on medical treatment of the medical treatment subject by inputting the examination data of the medical treatment subject to a first model and estimates information on medical treatment of the medical treatment subject by inputting the examination data and the reply data of the medical treatment subject to a second model. The processing circuit outputs a first estimation result of the first model and a second estimation result of the second model via an output unit.

The invention relates to the field of computer engineering for processing images that provides increased accuracy of finding and classifying a similar object . The technical result is achieved by: downloading files of a radiographic image which comprise metadata including information about the object or subject of the image and information about the image itself; encrypting the downloaded files if the above-mentioned files comprise personal data about a person; decrypting the above-mentioned, encrypted, downloaded files; and processing the radiographic image, wherein, as a result of the processing, the following occurs: finding and capturing a relevant region of the radiographic image; removing noise from the captured, relevant region of the radiographic image, wherein a region with a found object is meant by a relevant region of the radiographic image; compressing or unzipping a previously processed radiographic image; and finding a similar object in two previously processed images, and processing said object.

A system and method for promoting, tracking, and assessing mental wellness. The method includes receiving an entry from a subject user, the entry including an input and a mood indicator, storing the entry in within a set of entries, the set including at least two entries received over a period of time, and determining a presence of at least one marker in the input of each entry within the set. The method further includes analyzing the set of entries for occurrences of markers or sequences of markers and alerting a supervisory user if the occurrences of markers or sequences of markers exceed a predetermined threshold. The method further includes associating contextual content from a supervisory user to an entry, the contextual content including a note, an attachment, a form, and/or a flag. The system includes a platform for accessing, managing, and storing data and analytics for implementing the method.

A system and method for promoting, tracking, and assessing mental wellness. The method includes receiving an entry from a subject user, the entry including an input and a mood indicator, storing the entry in within a set of entries, the set including at least two entries received over a period of time, and determining a presence of at least one marker in the input of each entry within the set. The method further includes analyzing the set of entries for occurrences of markers or sequences of markers and alerting a supervisory user if the occurrences of markers or sequences of markers exceed a predetermined threshold. The method further includes associating contextual content from a supervisory user to an entry, the contextual content including a note, an attachment, a form, and/or a flag. The system includes a platform for accessing, managing, and storing data and analytics for implementing the method.

Deep learning methods and systems for detecting biomarkers within optical coherence tomography volumes using such deep learning methods and systems are provided. Embodiments predict the presence or absence of clinically useful biomarkers in OCT images using deep neural networks. The lack of available training data for canonical deep learning approaches is overcome in embodiments by leveraging a large external dataset consisting of foveal scans using transfer learning. Embodiments represent the three-dimensional OCT volume by “tiling” each slice into a single two dimensional image, and adding an additional component to encourage the network to consider local spatial structure. Methods and systems, according to embodiments are able to identify the presence or absence of AMD-related biomarkers on par with clinicians. Beyond identifying biomarkers, additional models could be trained, according to embodiments, to predict the progression of these biomarkers over time.

A method for autonomously generating a care plan personalized for a patient is disclosed. The method includes receiving a selection of a type of the care plan to implement for the patient, generating the care plan based on the type selected, wherein the care plan includes an action instruction based on a patient graph of the patient and a knowledge graph including ontological medical data, receiving patient data that indicates health related information associated with the patient, modifying the care plan to generate a modified care plan in real-time or near real-time based on the patient data, and causing the modified care plan to be presented on a computing device of a medical personnel.

The present disclosure provides methods, systems, and non-transitory computer-readable media for assessment of disease treatment or progression on a lesion-by-lesion level. The systems and methods are based on measurements of a variety of features including total number of lesions, total number and proportion of lesions regressing or progressing, changes in dimensions of a lesion over time, and uptake values of a molecular imaging agent.