1. A medical guide system comprising:
a unit that creates medical record data including examination data that includes examination items, the date and time of an examination, and examination results, and treatment data that includes treatment behaviors, the date and time of a medical treatment, and treatment results, the examination data and the treatment data being electronically recorded for every patient;
a unit that extracts the medical record data for each patient, and uses the examination data before a predetermined dividing point in a chronological order as before-dividing-point data and the treatment data after the predetermined dividing point in the chronological order as after-dividing-point data;
a unit that extracts a treatment pattern from the after-dividing-point data, wherein the frequency that the treatment pattern occurs is equal to or greater than a predetermined number; and
a unit that derives a rule, using at least one computer processor, that associates the examination results with the treatment pattern from the treatment pattern and the before-dividing-point data.
2. The medical guide system according to claim 1, wherein the after-dividing-point data is the examination data and the treatment data after the predetermined dividing point, and the unit that extracts the treatment pattern extracts an examination pattern and the treatment pattern.
3. The medical guide system according to claim 1, wherein the unit that extracts the treatment pattern extracts the treatment pattern having a chronological order including an order of treatments.
4. The medical guide system according to claim 1, wherein the unit that derives the rule uses machine learning to derive the rule.
5. The medical guide system according to claim 1, wherein the unit that derives the rule derives the rule having examination items and examination results as conditions and the treatment pattern as a conclusion, from the treatment pattern and the before-dividing-point data.
6. The medical guide system according to claim 1, wherein the predetermined dividing point is designated by a user.
7. The medical guide system according to claim 1, wherein the predetermined number is a threshold value that is designated by a user.
8. The medical guide system according to claim 1, further comprising:
a unit that records the derived rule and searches a corresponding treatment pattern using the examination items and the examination results as search keys.
9. The medical guide system according to claim 1, wherein the unit that extracts the treatment pattern uses a classification layer of the treatment behaviors to extract the treatment pattern and the treatment behaviors emerged in the treatment data.
10. The medical guide system according to claim 1, wherein the examination items include a physical examination, histodiagnosis, and cytologic diagnosis, and the treatment behaviors include a surgical operation, a radiation treatment, chemotherapy, a prescription, and a clinical trial.
11. The medical guide system according to claim 1, wherein the system is connected to a network, and the system further includes:
a unit that receives a specific examination result from a computer connected to the network; and
a unit that searches a treatment pattern corresponding to the specific examination result from the rule of the system, and transmits the treatment pattern to the computer.
12. The medical guide system according to claim 11, wherein the specific examination result is an examination result of a patient or a general user connected to the network.
13. The medical guide system according to claim 11, wherein the computer is part of a medical institution that is connected to the network, and the specific examination result is an examination result of a patient who is registered in the medical institution.
14. The medical guide system according to claim 11, wherein the computer is a computer of a doctor connected to the network, and the specific examination result is an examination result of a patient who is treated by the doctor.
15. A medical guide method comprising the steps of:
creating medical record data including examination data that includes examination items, the date and time of an examination, and examination results, and treatment data that includes treatment behaviors, the date and time of a medical treatment, and treatment results, the examination data and the treatment data being electronically recorded for every patient;
extracting the medical record data for each patient, using the examination data before a predetermined dividing point in a chronological order as before-dividing-point data and the treatment data after the predetermined dividing point in the chronological order as after-dividing-point data;
extracting a treatment pattern from the after-dividing-point data, wherein the frequency that the treatment pattern occurs is equal to or greater than a predetermined number; and
deriving a rule, using at least one computer processor, that associates the examination results with the treatment pattern from the treatment pattern and the before-dividing-point data.
16. A non-transitory computer readable medium comprising a medical guide program for allowing a computer to execute the steps of:
creating medical record data including examination data that includes examination items, the date and time of an examination, and examination results, and treatment data that includes treatment behaviors, the date and time of a medical treatment, and treatment results, the examination data and the treatment data being electronically recorded for every patient;
extracting the medical record data for each patient, using the examination data before a predetermined dividing point in a chronological order as before-dividing-point data and the treatment data after the predetermined dividing point in the chronological order as after-dividing-point data;
extracting a treatment pattern from the after-dividing-point data, wherein the frequency that the treatment pattern occurs is equal to or greater than a predetermined number; and
deriving a rule that associates the examination results with the treatment pattern from the treatment pattern and the before-dividing-point data.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method of providing wireless communication service coverage, the method comprising:
passing communications traffic for a mobile terminal from a base station controller to a mesh of RF-coupled radio base stations;
routing the communications traffic for said mobile terminal through one or more intervening radio base stations in said mesh as needed to reach a serving radio base station;
transmitting the communications traffic for said mobile terminal from said serving radio base station to said mobile terminal;
receiving communications traffic from said mobile terminal at said serving radio base station;
routing the communications traffic from said mobile terminal from said serving radio base station through one or more intervening radio base stations in said mesh as needed to reach said base station controller;
determining the RF coupling between respective ones of said radio base stations comprising said mesh at a central network manager;
generating routing information at said central network manager based on said determined RF couplings; and
distributing said routing information to said radio base stations comprising said mesh.
2. The method of claim 1 further comprising:
configuring each radio base station in said mesh as an IP-addressable routing node; and
transporting the communications traffic to and from said mobile terminal through said routing nodes in said mesh as IP-based packet data.
3. The method of claim 2 further comprising determining a route through said mesh for packet data comprising the communications traffic associated with said mobile terminal based on the relative amount of additional communications traffic associated with other mobile terminals being routed by individual ones of said radio base stations in said mesh.
4. The method of claim 2 further comprising dynamically updating said route based on changing communications traffic load conditions at said radio base stations in said mesh.
5. The method of claim 2 further comprising dynamically updating said route based on detecting malfunctioning radio base stations within said mesh.
6. The method of claim 2 further comprising:
organizing said communications traffic as IP-based packet data; and routing said communications traffic through said mesh based on IP addressing information contained in IP packet data headers.
7. The method of claim 1 further comprising:
maintaining routing tables in each said radio base station in said mesh; and
routing communications traffic through said mesh based on said routing tables.
8. The method of claim 1 further comprising communicatively coupling said mesh to said base station controller through a concentrator that carries the aggregate of communications traffic passing between said mesh and said base station controller.
9. The method of claim 8 wherein communicatively coupling said mesh to said base station controller through a concentrator comprises RF coupling said concentrator with at least one said radio base station in said mesh such that other said radio base stations can relay communications traffic through said at least one said radio base station communicatively coupled to said concentrator.
10. The method of claim 8 further comprising coupling said mesh to said base station controller through at least two said concentrators, such that the aggregate of communications traffic may be split between said at least two concentrators.
11. The method of claim 8 further comprising positioning said concentrator to maximize the number of radio base stations within said mesh with which said concentrator can communicatively couple.
12. The method of claim 1 wherein said mesh of radio base stations carries communications traffic associated with a plurality of mobile terminals and further comprising:
observing relative communications traffic loading between respective ones of said radio base stations comprising said mesh; and
updating said routing information in one or more of said radio base stations based on said relative communications traffic loading.
13. The method of claim 1 further comprising:
determining neighbor lists for individual ones of said radio base stations in said mesh identifying adjacent radio base stations in said mesh; and
providing said neighbor list information to said individual ones of said radio base stations.
14. The method of claim 1 wherein determining the RF-coupling between respective ones of said radio base stations comprising said mesh at a central network manager comprises evaluating RF signal strength for mesh interface signaling as reported between proximate ones of said radio base stations.