A new medical diagnosis or drug treatment can often leave us with more questions than answers. A few weeks ago we introduced a disease dataset within Wolfram|Alpha that can be helpful for those wondering how their condition and treatment plans compare to those of other patients. Most notably, this dataset includes the fraction of patients within the United States that have been diagnosed with a medical condition in a given year. For each condition, Wolfram|Alpha has various levels of information, including commonly reported symptoms, co-occurring diseases, and lab tests used for diagnosis. Beyond this, Wolfram|Alpha also has carefully curated data on drug treatments. For example:
The data displayed from these inputs gives classes of drugs prescribed or administered to patients during health care provider visits. Wolfram|Alpha ranks the drug classes by the number of patients to whom they were administered. For example, “hypertension drug treatment”, initially shows us that, of all the patients diagnosed with hypertension, 25% were prescribed angiotensin converting enzyme inhibitors, 22% HMG-CoA reductase inhibitors, 21% cardioselective beta blockers, 19% antihypertensive combinations, and 16% calcium channel blocking agents. (That’s over 100% total because some patients are prescribed more than one medication.)
Looking above the ranked drug table we can see that there are a handful of useful options. Click “Show drugs”, and the table opens up and displays a ranked table of brand-name drugs prescribed within each class. From this table, you can see interesting differences in drug-prescribing patterns between the sexes. For example, the angiotensin converting enzyme inhibitor Lisinopril is more commonly prescribed to male hypertension patients than females, but looking further down the list, we can see that female patients are more commonly prescribed Enalapril than are males.
Wolfram|Alpha can also can also provide generic options for prescription drug treatments. More »