<prompt> Etsa lenaneo le ka lemohang boloetse ba ho hema.nan  <response>: Instruction in English: Create a program that can detect a respiratory illness. . Response in English: To create a program that can detect a respiratory illness, a few approaches can be considered, such as using machine learning techniques, artificial neural networks or rule-based systems. Here is an example of how a rule-based system for detecting respiratory illness can be created:1. Define the symptoms: The first step in building a respiratory illness detection program is defining the symptoms that should be taken into account. Some common respiratory illness symptoms include coughing, shortness of breath, chest tightness, fever, and fatigue.pythonsymptoms coughing, shortness of breath, chest tightness, fever, fatigue2. Create a scoring system: Each reported symptom can be given a score based on its severity or frequency. For example, mild coughing can have a score of 1, while severe coughing can have a score of 3.pythonsymptom_scores coughing: mild: 1, moderate: 2, severe: 3, shortness of breath: mild: 1, moderate: 2, severe: 3, chest tightness: mild: 1, moderate: 2, severe: 3, fever: mild: 1, moderate: 2, severe: 3, fatigue: mild: 1, moderate: 2, severe: 33. Gather patient information: With the symptoms defined and a scoring system created, the next step is to gather information about the patients symptoms. This can be done through a questionnaire, where the patient is asked to identify their symptoms and rate their severity or frequency.pythonpatient_symptoms for symptom in symptoms: score intinputfOn a scale of 1 to 3, how severe is your symptom? patient_symptoms.appendsymptom, score4. Calculate the total score: The score for each symptom reported by the patient can be added up to calculate a total score.pythontotal_score 0for symptom, score in patient_symptoms: total_score score . Response in Sesotho: Ho theha lenaneo le ka lemohang lefu la ho hema, ho ka nahanoa mekhoa e seng mekae, e kang ho sebelisa mekhoa ea ho ithuta mochine, marang-rang a maiketsetso a methapo ea kutlo kapa mekhoa e thehiloeng melaong. Mohlala ke ona oa kamoo tsamaiso e thehiloeng melaong ea ho lemoha lefu la ho hema e ka thehoa: 1. Hlalosa matšoao: Mohato oa pele oa ho haha lenaneo la ho lemoha lefu la ho hema ke ho hlalosa matšoao a lokelang ho nkoa. Matšoao a mang a tloaelehileng a ho hema a kenyelletsa ho khohlela, ho hema ka thata, sefuba se thata, feberu le mokhathala. matšoao a python ho khohlela, phefumoloho e khutsoanyane, ho tiea ha sefuba, feberu, ho khathala 2. Etsa mokhoa oa ho fana ka lintlha: Letšoao le leng le le leng le tlalehiloeng le ka fuoa lintlha ho latela boima kapa makgetlo a yona. Mohlala, ho khohlela ho fokolang ho ka ba le lintlha tse 1, athe ho khohlela ho matla ho ka ba le lintlha tse 3. python symptom_scores ho khohlela: bonolo: 1, moderate: 2, tevere: 3, phefumoloho e khutsoane: bonolo: 1, ho itekanetse: 2, matla: 3, ho tiea ha sefuba: bonolo: 1, ho itekanetse: 2, bothata : 3, feberu: feberu: e bonolo: 1, e itekanetse: 2, e matla: 3, mokhathala: e bonolo: 1, e itekanetseng: 2, e matla: 3 3. Bokella lintlha tsa mokuli: Ha matšoao a hlalosoa le mokhoa oa ho fana ka lintlha o entsoe, mohato o latelang ke ho bokella lintlha ka matšoao a mokuli. Sena se ka etsoa ka lethathamo la lipotso, moo mokuli a botsoang ho tseba matšoao a bona le ho lekanya ho teba ha bona kapa khafetsa. python patient_symptoms bakeng sa matšoao a matšoao: lintlha intinputfKa sekaleng sa 1 ho isa ho 3, symptoms ea hau e matla hakae? patient_symptoms.appendletšoao, lintlha 4. Bala kakaretso ea lintlha: Lintlha tsa letšoao le leng le le leng le tlalehiloeng ke mokuli li ka kenyelletsoa ho bala palo eohle ea lintlha. python total_score 0 bakeng sa letšoao, lintlha ho mokuli_symptoms: kakaretso_score lintlha 