A system comprising data processing hardware, and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising receiving a plurality of input data from one or more data collection devices, converting each of the plurality of input data to sub-data, converting the sub-data into a fuzzy domain by using fuzzy membership functions to create fuzzy data, performing fuzzy inference operations on the fuzzy data using a fuzzy rule base, performing deffuzification operations to convert the fuzzy data into crisp data, determining a heart disease diagnosis for a patient based on the crisp data, and transmitting data indicating a dosage amount of a medication to an administration device associated with the patient based on the heart disease diagnosis, the medication configured to treat symptoms associated with heart disease.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

This disclosure relates generally to a system and method for the optimized management of health care services provision with fulfilment of prescription orders for medications and health-related products in a health care environment. A computer-controlled system coordinates and controls, on demand IV hydration treatments or acute illness management fulfilment in a most efficient path thereby minimizing a cost and time function associated with fulfilment of the order. A smartphone, a laptop computer, a portable communicating device, a cloud computing device, or a data storage device is capable of communicating with the computer. The proposed healthcare management system-connects care providers, patients and delivery teams for quick, clear, and efficient communication and feedback/follow up features. It aims in reducing errors of, unawareness about and time & effort for seeking medical/health care. In order words, it makes a care-need assessment, order placement, fulfilment and status tracking a breeze.

This disclosure relates generally to a system and method for the optimized management of health care services provision with fulfilment of prescription orders for medications and health-related products in a health care environment. A computer-controlled system coordinates and controls, on demand IV hydration treatments or acute illness management fulfilment in a most efficient path thereby minimizing a cost and time function associated with fulfilment of the order. A smartphone, a laptop computer, a portable communicating device, a cloud computing device, or a data storage device is capable of communicating with the computer. The proposed healthcare management system-connects care providers, patients and delivery teams for quick, clear, and efficient communication and feedback/follow up features. It aims in reducing errors of, unawareness about and time & effort for seeking medical/health care. In order words, it makes a care-need assessment, order placement, fulfilment and status tracking a breeze.

A system and method for determining a health outcome, comprising: receiving first and second images or videos of a wound of a patient; comparing the images or videos to detect a characteristic of the wound, the characteristic including an identification of a change in the wound; receiving at least one non-image or non-video data input that includes data about the patient; executing a machine learning algorithm comprising a dataset of images or videos to analyze the identified change in the wound and to correlate at least one first image or video and at least one second image or video with the at least one non-image or non-video data input and to train the machine learning algorithm with the identification of a change in the wound; and generating a medical outcome prediction regarding a status and recovery of the patient in response to correlating the at least one additional input with the first and second images or videos.

A system and method for determining a health outcome, comprising: receiving first and second images or videos of a wound of a patient; comparing the images or videos to detect a characteristic of the wound, the characteristic including an identification of a change in the wound; receiving at least one non-image or non-video data input that includes data about the patient; executing a machine learning algorithm comprising a dataset of images or videos to analyze the identified change in the wound and to correlate at least one first image or video and at least one second image or video with the at least one non-image or non-video data input and to train the machine learning algorithm with the identification of a change in the wound; and generating a medical outcome prediction regarding a status and recovery of the patient in response to correlating the at least one additional input with the first and second images or videos.

An improved home automation system is provided to facilitate senior care, as well as to facilitate care for individuals suffering from Alzheimer's disease or other dementias. A home control unit is provided that is connected to, and interfaces with, a combination of health equipment, smart home appliances, a smart medicine cabinet, a smart pantry, wearable sensors, motion detectors, video cameras, microphones, video monitors, speakers, smart thermostat, lighting, floor sensors, bed sensors, smoke detectors, glass breakage detectors, door sensors, and other perimeter sensors. A distributed computational architecture is provided having a CPU associated with each video camera and an associated proximate microphone and speaker, wherein speech detection and processing, and video processing, is performed by each such CPU in conjunction with its associated video camera, microphone, and speaker. Remote backup for such distributed speech processing is selectively provided by a remote server based upon confidence scopes generated by each such CPU. The distributed computational architecture is also utilized for video processing to facilitate peer-to-peer video conferencing communication using industry standard formats and to reduce latency and response times that would otherwise be encountered using remote servers.

An improved home automation system is provided to facilitate senior care, as well as to facilitate care for individuals suffering from Alzheimer's disease or other dementias. A home control unit is provided that is connected to, and interfaces with, a combination of health equipment, smart home appliances, a smart medicine cabinet, a smart pantry, wearable sensors, motion detectors, video cameras, microphones, video monitors, speakers, smart thermostat, lighting, floor sensors, bed sensors, smoke detectors, glass breakage detectors, door sensors, and other perimeter sensors. A distributed computational architecture is provided having a CPU associated with each video camera and an associated proximate microphone and speaker, wherein speech detection and processing, and video processing, is performed by each such CPU in conjunction with its associated video camera, microphone, and speaker. Remote backup for such distributed speech processing is selectively provided by a remote server based upon confidence scopes generated by each such CPU. The distributed computational architecture is also utilized for video processing to facilitate peer-to-peer video conferencing communication using industry standard formats and to reduce latency and response times that would otherwise be encountered using remote servers.

Systems, devices, and technical methods of the present disclosure leverage digital visitor logs from confinement facilities to identify people of interest that may be involved in incidents to which first responders are dispatched. When a phone call is received at phone public safety access point, a first query including a name associated with the call is transmitted to a digital visitor log for a confinement facility. A digital response to the first query identifies a visitee who was visited by a visitor by that name while the visitee was in confinement. The visitee's name is then transmitted in a second query to a digital repository containing release records; a digital response indicates the visitee was released before the call was received. An electronic notification that identifies the visitee is transmitted to a device associated with an agent who is responding to the call.