Information processing apparatus, information processing method, and recording medium
An information processing apparatus including: a classifier that is applied for medical treatment data; and a hardware processor that sets a property of the classifier, evaluates a sufficiency level of the property by using evaluation data for the classifier, and selects and sets one classifier as the classifier to be used in a facility by referring to an evaluation result.
1. An information processing apparatus comprising:
a classifier that is applied for medical treatment data; and
a hardware processor that:
sets a property of the classifier;
evaluates a sufficiency level of the property by using evaluation data for the classifier;
selects and sets one classifier as the classifier to be used in a facility by referring to an evaluation result; and
sets a learning condition of the classifier based on the set property of the classifier,
wherein the property includes a detection performance for a detection target,
the detection performance includes both or one of a sensitivity that is a probability of classifying data including an abnormality as abnormal and a specificity that is a probability of classifying normal data as normal, and
the hardware processor extracts learning data used in learning according to the property of the classifier such that a ratio of the data including the abnormality and the normal data is appropriate.
2. The information processing apparatus according to claim 1 , wherein the classifier that is an evaluation target is a learned classifier to which learning is performed by using data collected in a present facility that is the facility to use the classifier.
3. The information processing apparatus according to claim 1 , wherein the classifier that is an evaluation target is a learned classifier to which learning is performed by using data collected in a facility different from the facility to use the classifier.
4. The information processing apparatus according to claim 1 , wherein
the property further includes the detection target to be detected,
learning data that is used in learning of the classifier is sorted based on the property of the classifier, and
the hardware processor extracts the learning data according to the set property of the classifier.
5. The information processing apparatus according to claim 4 , further comprising a display that displays the property of the classifier and the evaluation result regarding the classifier.
6. The information processing apparatus according to claim 5 , wherein the display uses different displaying methods for the evaluation result that satisfies the property of the classifier set by the hardware processor and for the evaluation result that does not satisfy the set property of the classifier.
7. An information processing method comprising:
property setting that is setting a property of a classifier applied for medical treatment data;
evaluating that is evaluating a sufficiency level of the property by using evaluation data for the classifier;
classifier setting that is selecting and setting one classifier as the classifier to be used in a facility by referring to an evaluation result of the evaluating;
setting a learning condition of the classifier based on the set property of the classifier, wherein the property includes a detection performance for a detection target, and the detection performance includes both or one of a sensitivity that is a probability of classifying data including an abnormality as abnormal and a specificity that is a probability of classifying normal data as normal; and
extracting learning data used in learning according to the property of the classifier such that a ratio of the data including the abnormality and the normal data is appropriate.
8. A non-transitory recording medium storing a computer readable program causing a computer of an information processing apparatus to perform:
property setting that is setting a property of a classifier applied for medical treatment data;
evaluating that is evaluating a sufficiency level of the property by using evaluation data for the classifier;
classifier setting that is selecting and setting one classifier as the classifier to be used in a facility by referring to an evaluation result of the evaluating;
setting a learning condition of the classifier based on the set property of the classifier, wherein the property includes a detection performance for a detection target, and the detection performance includes both or one of a sensitivity that is a probability of classifying data including an abnormality as abnormal and a specificity that is a probability of classifying normal data as normal; and
extracting learning data used in learning according to the property of the classifier such that a ratio of the data including the abnormality and the normal data is appropriate.
9. The information processing apparatus according to claim 1 , wherein
the property defines a specific abnormality to be detected by playing and the sensitivity for the specific abnormality,
the evaluation data including sensitivities of each of various abnormalities including the specific abnormality, wherein each of the sensitivities is a probability of classifying data including a respective one of the various abnormalities as abnormal; and
the hardware processor selects and sets one classifier as the classifier to be used in the facility that meets the sensitivity of the specific abnormality by referring to the evaluation result.