Abstract: Unsupervised taxonomy extraction from medical clinical trials for supplementing a keyword mapping to disease conditions is provided. One or more corpus of clinical trial descriptions is read. A list of disease conditions is read. A plurality of categories of clinical trials is determined. A frequency of occurrence for each of one or more repeated terms from each category of clinical trials is determined. A set of category-specific repeated terms is determined. A set of new terms is determined. A plurality of vectors for each new term in the set of new terms is determined where each vector for a particular new term corresponding to the one or more associated keyword. One or more of the new terms in the set of new terms is selected based on the vectors. Each of the selected new terms is mapped to a disease condition thereby generating a supplemented list of disease conditions.

Abstract: A system and method for measuring or at least detecting the effect of at least implicit communication on transactions within a social group, optionally such as consumer purchases for example. The group may optionally comprise a social network, a pair, 3 or more individuals and so forth. By “implicit communication” it is meant communication for which there is no record, for example in a database. The aftereffects of such communication may optionally be determined, detected and/or measured through detection and/or measurement of influence, as described in greater detail below. For example, if a first consumer performs purchase of an item and a second consumer later purchases the same or similar item within a given time period, the two purchases may optionally be linked through influence which may in turn have optionally occurred through implicit communication.

Abstract: A system and method for measuring or at least detecting the effect of at least implicit communication on transactions within a social group, optionally such as consumer purchases for example. The group may optionally comprise a social network, a pair, 3 or more individuals and so forth. By “implicit communication” it is meant communication for which there is no record, for example in a database. The aftereffects of such communication may optionally be determined, detected and/or measured through detection and/or measurement of influence, as described in greater detail below. For example, if a first consumer performs purchase of an item and a second consumer later purchases the same or similar item within a given time period, the two purchases may optionally be linked through influence which may in turn have optionally occurred through implicit communication.

Abstract: A system and method for measuring or at least detecting the effect of at least implicit communication on transactions within a social group, optionally such as consumer purchases for example. The group may optionally comprise a social network, a pair, 3 or more individuals and so forth. By “implicit communication” it is meant communication for which there is no record, for example in a database. The aftereffects of such communication may optionally be determined, detected and/or measured through detection and/or measurement of influence, as described in greater detail below. For example, if a first consumer performs purchase of an item and a second consumer later purchases the same or similar item within a given time period, the two purchases may optionally be linked through influence which may in turn have optionally occurred through implicit communication.

Abstract: A system and method for measuring or at least detecting the effect of at least implicit communication on transactions within a social group, optionally such as consumer purchases for example. The group may optionally comprise a social network, a pair, 3 or more individuals and so forth. By “implicit communication” it is meant communication for which there is no record, for example in a database. The aftereffects of such communication may optionally be determined, detected and/or measured through detection and/or measurement of influence, as described in greater detail below. For example, if a first consumer performs purchase of an item and a second consumer later purchases the same or similar item within a given time period, the two purchases may optionally be linked through influence which may in turn have optionally occurred through implicit communication.