<prompt> Hlahisa mohlala oa nyeoe ea tšebeliso bakeng sa analytics e boletsoeng esale pelenan  <response>: Instruction in English: Generate an example of a use case for predictive analytics . Response in English: One example of a use case for predictive analytics is in the healthcare industry. With the vast amount of patient data available, predictive analytics can be used to analyze patterns and trends in patient health, to help clinicians make better informed decisions about their patients care.For instance, a hospital could use predictive analytics tools to analyze patient data, including demographic information, medical history, and current health conditions, to predict the likelihood of a patient developing a certain illness or disease. Based on this information, doctors could then take proactive measures to prevent the onset of the condition, such as prescribing medication, recommending lifestyle changes, or scheduling regular check-ups.In another scenario, predictive analytics could be used to identify patients who are at high risk of readmission to the hospital. By analyzing factors such as previous hospitalizations, existing health conditions, and medication compliance, the hospital could identify patients who are most likely to be readmitted and take steps to provide them with additional support, such as regular follow-up appointments, home visits, or telemedicine consultations.Overall, predictive analytics has the potential to improve patient outcomes, reduce hospital readmissions, and save costs for both the healthcare provider and the patient. . Response in Sesotho: Mohlala o mong oa nyeoe ea tšebeliso bakeng sa analytics e boletsoeng esale pele ke indastering ea tlhokomelo ea bophelo. Ka palo e kholo ea lintlha tsa mokuli tse fumanehang, li-analytics tsa ho bolela esale pele li ka sebelisoa ho sekaseka mekhoa le mekhoa ea bophelo bo botle ba mokuli, ho thusa baoki ho etsa liqeto tse nepahetseng mabapi le tlhokomelo ea bakuli ba bona. Ka mohlala, sepetlele se ka na sa sebelisa lisebelisoa tsa ho hlahloba lintho esale pele ho hlahloba lintlha tsa mokuli, ho akarelletsa le boitsebiso ba palo ea batho, histori ea bongaka le maemo a hona joale a bophelo, ho bolela esale pele monyetla oa hore mokuli a tšoaroe ke boloetse bo itseng kapa boloetse bo itseng. Ho itšetlehile ka boitsebiso bona, joale lingaka li ka nka mehato ea ho thibela ho qala ha lefu lena, tse kang ho fana ka meriana, ho khothalletsa ho fetola mokhoa oa bophelo, kapa ho lokisetsa tlhahlobo ea kamehla. Boemong bo bong, li-analytics tsa ho bolela esale pele li ka sebelisoa ho khetholla bakuli ba kotsing e kholo ea ho khutlisetsoa sepetlele. Ka ho hlahloba lintlha tse kang lipetlele tsa nakong e fetileng, maemo a bophelo a neng a ntse a le teng, le ho lumellana le meriana, sepetlele se ne se ka tsebahatsa bakuli bao ho ka etsahalang hore ba khutlisetsoe hape me se nke mehato ea ho ba fa tšehetso e eketsehileng, e kang ho ba etela kamehla, ho etela malapeng kapa ho ba etela. lipuisano tsa telemedicine. Ka kakaretso, li-analytics tse boletsoeng esale pele li na le monyetla oa ho ntlafatsa sephetho sa mokuli, ho fokotsa ho bala sepetlele, le ho boloka litšenyehelo bakeng sa mofani oa tlhokomelo ea bophelo le mokuli. 