Abstract: Disclosed aspects relate to generating rationales for treatment options. A set of preference scores that indicates a first preference score for a first treatment option of a set of treatment options may be received. A rank-order that indicates a first ranking for the first treatment option may be received. The set of preference scores may be analyzed with respect to the rank-order to determine a relationship between the first preference score and the first ranking for the first treatment option. Based on the relationship between the first preference score and the first ranking, a set of rationale data for the first treatment option may be generated with respect to the first rank. Based on a user profile for a user, the set of rationale data may be configured for the user. The set of rationale data which is configured for the user may be provided.

Abstract: System, method, and computer program product to identify candidate values to provide to a deep question answering (QA) system as part of a case, by receiving a case, wherein the case includes a plurality of documents for evaluation by the deep QA system, evaluating the plurality of documents using natural language processing (NLP) to identify one or more concepts reflected by text content within the plurality of documents in the case, wherein the plurality of documents includes a plurality of distinct values for at least a first one of the concepts, selecting, from the plurality of distinct values, a candidate value for the first concept to provide to the deep QA system to process the case, and prior to submitting the case to the deep QA system, returning at least the candidate value selected for the first concept to present in a user interface.

Abstract: Mechanisms are provided for extending a medical condition base cartridge (MCBC) based on user modifications of the MCBC. The mechanisms generate a MCBC for a medical condition at least by performing cognitive processing of natural language content in a corpus to extract patient attributes and treatment information associated with the medical condition. Information stored in the MCBC is presented to a user via at least one interface and user input is received, where the user input indicates at least one of a modification of, addition to, or deletion of, a portion of the information presented to generate an extension to the MCBC. The extension to the MCBC is stored as an expert medical condition cartridge (EMCC) in association with the MCBC in a repository. The EMCC is input to a medical cognitive system to perform a medical cognitive operation on patient information based on the EMCC.

Abstract: Managing confidence data in a question-answering environment is disclosed. Managing confidence data can include sorting, based on a set of answer categories for a subject matter, a first set of a plurality of answers into a first answer category. The first set can correspond to at least one of a third set of a plurality of confidence scores and the second set can correspond to at least one of a fourth set of the plurality of confidence scores. Managing confidence data can include classifying confidence scores of the third set into one of a plurality of confidence buckets using a first threshold and determining a fifth set of a plurality of thresholds using the plurality of confidence scores. Managing confidence data can include classifying unclassified confidence scores of the third set into one of the plurality of confidence buckets using the fifth set of the plurality of thresholds.

Abstract: Mechanisms are provided which configure a medical treatment recommendation system to implement a medical condition independent treatment recommendation model. The medical condition independent treatment recommendation model operates on medical condition independent scoring features that are independent of any specific medical condition. The mechanisms configure the medical treatment recommendation system to receive a medical condition cartridge providing at least one medical condition specific evaluation feature that is specific to a medical condition, and process patient information based on a combination of an application of the at least one medical condition specific evaluation feature, and an execution of the medical condition independent treatment recommendation model of the medical treatment recommendation system, to generate a treatment recommendation for a patient medical condition associated with the patient. The mechanisms then output the treatment recommendation for the patient.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: Managing confidence data in a question-answering environment is disclosed. Managing confidence data can include sorting, based on a set of answer categories for a subject matter, a first set of a plurality of answers into a first answer category. The first set can correspond to at least one of a third set of a plurality of confidence scores and the second set can correspond to at least one of a fourth set of the plurality of confidence scores. Managing confidence data can include classifying confidence scores of the third set into one of a plurality of confidence buckets using a first threshold and determining a fifth set of a plurality of thresholds using the plurality of confidence scores. Managing confidence data can include classifying unclassified confidence scores of the third set into one of the plurality of confidence buckets using the fifth set of the plurality of thresholds.

Abstract: Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.

Abstract: System and computer program product to consume data on a mobile device. Data records are outputted according to a columnar or row orientation in a first panel of an application. Four other panels, each initially hidden from view, are defined to receive data from the user via a predefined touchscreen gesture. If an orientation of the gesture matches the orientation of the data records, the set of data records is either archived or deleted to a respective panel, of the four other panels, according to a direction of the gesture and a predefined action associated with that direction. If the orientation of the gesture is transverse to the orientation of the data records, individual data records are archived or deleted to a respective panel, of the four other panels, according to a direction of the gesture and a predefined action associated with that direction.

Abstract: System and computer program product to consume data on a mobile device. Data records are outputted according to a columnar or row orientation in a first panel of an application. Four other panels, each initially hidden from view, are defined to receive data from the user via a predefined touchscreen gesture. If an orientation of the gesture matches the orientation of the data records, the set of data records is either archived or deleted to a respective panel, of the four other panels, according to a direction of the gesture and a predefined action associated with that direction. If the orientation of the gesture is transverse to the orientation of the data records, individual data records are archived or deleted to a respective panel, of the four other panels, according to a direction of the gesture and a predefined action associated with that direction.

Abstract: Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.

Abstract: In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.

Abstract: In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.

Abstract: System, method, and computer program product to identify candidate values to provide to a deep question answering (QA) system as part of a case, by receiving a case, wherein the case includes a plurality of documents for evaluation by the deep QA system, evaluating the plurality of documents using natural language processing (NLP) to identify one or more concepts reflected by text content within the plurality of documents in the case, wherein the plurality of documents includes a plurality of distinct values for at least a first one of the concepts, selecting, from the plurality of distinct values, a candidate value for the first concept to provide to the deep QA system to process the case, and prior to submitting the case to the deep QA system, returning at least the candidate value selected for the first concept to present in a user interface.

Abstract: Methods to, responsive to receiving a case by a deep question answering (deep QA) system, identify, in a corpus of information, a first variable for which a value was not specified in the case, compute an importance score for the first variable based on a concept in the corpus, wherein the concept is associated with the first variable, and upon determining that the importance score exceeds an importance threshold, determine that specifying a value for the first variable increases a confidence score of a response returned by the deep QA system beyond a confidence threshold.

Abstract: Methods to perform an operation comprising: identifying a first attribute of a source code in a deep question answering system, computing an influence score for the first attribute based on a rule in the source code used to compute a confidence score for each of a plurality of candidate answers generated by the deep question answering system, computing an importance score for the first attribute based at least in part on the computed influence score, and upon determining that the importance score exceeds a predefined threshold, storing an indication that the first attribute is an important attribute relative to other attributes specified in the source code.

Abstract: Systems and computer program products to perform an operation comprising: identifying a first attribute of a source code in a deep question answering system, computing an influence score for the first attribute based on a rule in the source code used to compute a confidence score for each of a plurality of candidate answers generated by the deep question answering system, computing an importance score for the first attribute based at least in part on the computed influence score, and upon determining that the importance score exceeds a predefined threshold, storing an indication that the first attribute is an important attribute relative to other attributes specified in the source code.

Abstract: Systems and computer program products to, responsive to receiving a case by a deep question answering (deep QA) system, identify, in a corpus of information, a first variable for which a value was not specified in the case, compute an importance score for the first variable based on a concept in the corpus, wherein the concept is associated with the first variable, and upon determining that the importance score exceeds an importance threshold, determine that specifying a value for the first variable increases a confidence score of a response returned by the deep QA system beyond a confidence threshold.

Abstract: Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category.